Deep Research

Effortlessly run deep research and get high-quality results powered with AI.

Body

query · string · required

The search value. The maximum query character length is 400.

safe_search · string · default: "moderate"

Controls the inclusion of offensive results in the search results.

• moderate
• strict
• off

spell_check · boolean · default: "true"

Spell check the search query.

max_depth · number · default: "3"

Specifies the depth of research by controlling the number of recursive iterations the framework performs. A higher value enables more thorough but longer searches.

max_breadth · number · default: "3"

Determines the breadth of research by limiting the number of parallel subqueries generated at each depth level. A higher value provides wider coverage of related topics.

max_output_tokens · number · default: "32000"

The maximum number of tokens in the generated output report.

target_output_tokens · number

The target number of tokens for the generated output report.

Header

x-api-key · string · required

Your JigsawStack API key

Response

success · boolean

Indicates whether the call was successful.

Javascript

import { JigsawStack } from "jigsawstack";

const jigsaw = JigsawStack({ apiKey: "your-api-key" });

const response = await jigsaw.web.deep_research({
  "query": "What is jigsawstack ?"
})

Response

{
"success": true,
"query": "What is jigsawstack ?",
"results": "JigsawStack is an open-source platform that provides a suite of purpose-built AI tools and models designed for seamless integration into modern technology stacks. Its primary focus is on delivering custom-trained, small AI models that can be easily embedded into applications via SDKs for JavaScript/TypeScript and Python, as well as through REST APIs. JigsawStack is engineered to help developers quickly add advanced AI capabilities—such as web scraping, optical character recognition (OCR), object detection, text-to-speech, speech-to-text, translation, and AI-powered web search—without the need for extensive machine learning expertise or infrastructure setup [[1](https://jigsawstack.com/)][[4](https://jigsawstack.com/docs/introduction)][[6](https://pypi.org/project/jigsawstack/)][[25](https://www.f6s.com/software/jigsawstack)].\n\nKey Features and Capabilities:\n- **Custom AI Models**: Unlike platforms that rely solely on large language models (LLMs) like GPT-4, JigsawStack offers its own fine-tuned, specialized models for tasks such as web scraping and OCR, resulting in higher accuracy and reliability for specific use cases [[9](https://jigsawstack.com/blog/jigsawstack-vs-firecrawl-ai-web-scraping)][[12](https://jigsawstack.com/blog/object-detection)][[19](https://jigsawstack.com/updates/jigsawstack-v3-has-officially-launched)].\n- **Prompt Engine**: JigsawStack includes a Prompt Engine that can automatically select the best LLM for a given prompt, optimizing for speed and performance. This engine is powered by Groq, enabling lightning-fast inference and low-latency responses [[7](https://console.groq.com/docs/jigsawstack)].\n- **Model Context Protocol (MCP) Server**: The MCP server allows modular integration and management of various AI tools and models, making it easy to add, remove, or update components as needed [[15](https://github.com/JigsawStack/jigsawstack-mcp-server)].\n- **Developer-Friendly SDKs**: Official SDKs are available for both JavaScript/TypeScript (via npm) and Python (via PyPI), with comprehensive documentation and open-source repositories on GitHub. This makes it straightforward for developers to get started and contribute to the platform [[2](https://www.npmjs.com/package/jigsawstack)][[5](https://github.com/jigsawstack)][[6](https://pypi.org/project/jigsawstack/)][[14](https://github.com/jigsawstack/jigsawstack-python)][[17](https://docs.jigsawstack.com/quick-start/node/introduction)][[20](https://github.com/JigsawStack/docs)].\n- **Community and Support**: JigsawStack fosters an active developer community through Discord and GitHub, offering support, collaboration, and opportunities for open-source contributions [[2](https://www.npmjs.com/package/jigsawstack)][[5](https://github.com/jigsawstack)][[6](https://pypi.org/project/jigsawstack/)][[14](https://github.com/jigsawstack/jigsawstack-python)].\n- **Flexible, Transparent Pricing**: The platform uses a token-based pricing model with a free tier, allowing developers to experiment and scale usage as needed. Pricing is calculated based on input/output tokens and processing time, with no fixed limits for paid plans [[8](https://jigsawstack.com/pricing)][[25](https://www.f6s.com/software/jigsawstack)].\n\nDifferentiators:\n- JigsawStack’s custom models are designed to mimic the steps a developer would take, especially in tasks like web scraping, leading to more reliable and higher-quality data extraction compared to competitors that rely solely on generic LLMs [[9](https://jigsawstack.com/blog/jigsawstack-vs-firecrawl-ai-web-scraping)].\n- The platform is modular and open-source, allowing for rapid integration, customization, and community-driven improvements [[5](https://github.com/jigsawstack)][[14](https://github.com/jigsawstack/jigsawstack-python)][[20](https://github.com/JigsawStack/docs)].\n- JigsawStack is not related to similarly named tools like Jigsaw for Laravel or other unrelated software [[18](https://jigsaw.tighten.com/)][[22](https://jamstack.org/generators/jigsaw/)].\n\nBackground and Launch:\n- JigsawStack was founded by Yoeven D Khemlani and officially launched in 2024. The company has secured funding and continues to roll out new features and enhancements [[11](https://www.linkedin.com/in/yoeven/)][[13](https://www.producthunt.com/products/jigsawstack)][[19](https://jigsawstack.com/updates/jigsawstack-v3-has-officially-launched)].\n\nIn summary, JigsawStack is a developer-centric AI infrastructure platform that empowers teams to integrate high-performance, specialized AI models into their products quickly and efficiently, with strong community support and transparent pricing [[1](https://jigsawstack.com/)][[4](https://jigsawstack.com/docs/introduction)][[5](https://github.com/jigsawstack)][[8](https://jigsawstack.com/pricing)][[9](https://jigsawstack.com/blog/jigsawstack-vs-firecrawl-ai-web-scraping)][[12](https://jigsawstack.com/blog/object-detection)][[13](https://www.producthunt.com/products/jigsawstack)][[19](https://jigsawstack.com/updates/jigsawstack-v3-has-officially-launched)][[25](https://www.f6s.com/software/jigsawstack)].JigsawStack is an open-source platform offering a suite of purpose-built AI tools and models for seamless integration into modern technology stacks. Its core strength lies in delivering custom-trained, small AI models—such as web scraping, optical character recognition (OCR), object detection, text-to-speech, speech-to-text, translation, and AI-powered web search—that can be easily embedded into applications via SDKs for JavaScript/TypeScript and Python, or accessed through REST APIs. This approach allows developers to add advanced AI capabilities without needing deep machine learning expertise or complex infrastructure setup [[1](https://jigsawstack.com/)][[4](https://jigsawstack.com/docs/introduction)][[6](https://pypi.org/project/jigsawstack/)][[25](https://www.f6s.com/software/jigsawstack)].\n\nKey Features:\n- **Custom AI Models**: JigsawStack provides its own fine-tuned models for specific tasks, offering higher accuracy and reliability compared to platforms that rely solely on large language models (LLMs) like GPT-4 [[9](https://jigsawstack.com/blog/jigsawstack-vs-firecrawl-ai-web-scraping)][[12](https://jigsawstack.com/blog/object-detection)][[19](https://jigsawstack.com/updates/jigsawstack-v3-has-officially-launched)].\n- **Prompt Engine**: The platform includes a Prompt Engine that automatically selects the best LLM for each prompt, optimizing for speed and performance, and is powered by Groq for low-latency inference [[7](https://console.groq.com/docs/jigsawstack)].\n- **Model Context Protocol (MCP) Server**: This server enables modular integration and management of various AI tools, making it easy to add, remove, or update components [[15](https://github.com/JigsawStack/jigsawstack-mcp-server)].\n- **Developer SDKs**: Official SDKs for JavaScript/TypeScript (npm) and Python (PyPI) are available, with open-source repositories and comprehensive documentation, making it easy for developers to get started and contribute [[2](https://www.npmjs.com/package/jigsawstack)][[5](https://github.com/jigsawstack)][[6](https://pypi.org/project/jigsawstack/)][[14](https://github.com/jigsawstack/jigsawstack-python)][[17](https://docs.jigsawstack.com/quick-start/node/introduction)][[20](https://github.com/JigsawStack/docs)].\n- **Community Support**: JigsawStack maintains an active developer community on Discord and GitHub, encouraging collaboration and open-source contributions [[2](https://www.npmjs.com/package/jigsawstack)][[5](https://github.com/jigsawstack)][[6](https://pypi.org/project/jigsawstack/)][[14](https://github.com/jigsawstack/jigsawstack-python)].\n- **Transparent Pricing**: The platform uses a token-based pricing model with a free tier, allowing flexible scaling. Pricing is based on input/output tokens and processing time, with no fixed limits for paid plans [[8](https://jigsawstack.com/pricing)][[25](https://www.f6s.com/software/jigsawstack)].\n\nWhat Sets JigsawStack Apart:\n- Its custom models are designed to mimic developer workflows, especially for tasks like web scraping, resulting in more reliable and higher-quality data extraction than competitors relying solely on generic LLMs [[9](https://jigsawstack.com/blog/jigsawstack-vs-firecrawl-ai-web-scraping)].\n- The platform is modular and open-source, supporting rapid integration, customization, and community-driven improvements [[5](https://github.com/jigsawstack)][[14](https://github.com/jigsawstack/jigsawstack-python)][[20](https://github.com/JigsawStack/docs)].\n- JigsawStack is unrelated to similarly named tools like \"Jigsaw\" for Laravel or other unrelated software [[18](https://jigsaw.tighten.com/)][[22](https://jamstack.org/generators/jigsaw/)].\n\nBackground:\n- Founded by Yoeven D Khemlani and launched in 2024, JigsawStack has secured funding and continues to expand its features and capabilities [[11](https://www.linkedin.com/in/yoeven/)][[13](https://www.producthunt.com/products/jigsawstack)][[19](https://jigsawstack.com/updates/jigsawstack-v3-has-officially-launched)].\n\nIn summary, JigsawStack is a developer-focused AI infrastructure platform that empowers teams to quickly and efficiently integrate high-performance, specialized AI models into their products, supported by a strong community and transparent pricing [[1](https://jigsawstack.com/)][[4](https://jigsawstack.com/docs/introduction)][[5](https://github.com/jigsawstack)][[8](https://jigsawstack.com/pricing)][[9](https://jigsawstack.com/blog/jigsawstack-vs-firecrawl-ai-web-scraping)][[12](https://jigsawstack.com/blog/object-detection)][[13](https://www.producthunt.com/products/jigsawstack)][[19](https://jigsawstack.com/updates/jigsawstack-v3-has-officially-launched)][[25](https://www.f6s.com/software/jigsawstack)].\n\n\n\n## References\n\n1. [JigsawStack: Purpose built AI models for your tech stack - JigsawStack](https://jigsawstack.com/)\n2. [jigsawstack - npm](https://www.npmjs.com/package/jigsawstack)\n3. [Jigsawstack - Crunchbase Company Profile & Funding](https://www.crunchbase.com/organization/jigsawstack)\n4. [Introduction - JigsawStack](https://jigsawstack.com/docs/introduction)\n5. [JigsawStack · GitHub](https://github.com/jigsawstack)\n6. [jigsawstack · PyPI](https://pypi.org/project/jigsawstack/)\n7. [JigsawStack](https://console.groq.com/docs/jigsawstack)\n8. [Pricing - JigsawStack](https://jigsawstack.com/pricing)\n9. [JigsawStack vs Firecrawl - AI Web Scraping - JigsawStack](https://jigsawstack.com/blog/jigsawstack-vs-firecrawl-ai-web-scraping)\n10. [JigsawStack Tool | 🦜️🔗 Langchain](https://js.langchain.com/docs/integrations/tools/jigsawstack/)\n11. [Yoeven D Khemlani - Founder at JigsawStack 🧩 | LinkedIn](https://www.linkedin.com/in/yoeven/)\n12. [Beyond the Box: The Future of Object Detection - JigsawStack](https://jigsawstack.com/blog/object-detection)\n13. [JigsawStack: AI infra for your tech stack | Product Hunt](https://www.producthunt.com/products/jigsawstack)\n14. [GitHub - JigsawStack/jigsawstack-python: Jigsawstack Python SDK](https://github.com/jigsawstack/jigsawstack-python)\n15. [GitHub - JigsawStack/jigsawstack-mcp-server: Model Context Protocol Server that allows AI models to interact with JigsawStack models!](https://github.com/JigsawStack/jigsawstack-mcp-server)\n16. [Introducing JigsawStack Deep Research - JigsawStack](https://jigsawstack.com/blog/introducing-jigsawstack-deep-research)\n17. [Introduction - Documentation](https://docs.jigsawstack.com/quick-start/node/introduction)\n18. [Jigsaw – Static Sites for Laravel Developers](https://jigsaw.tighten.com/)\n19. [JigsawStack v3 Has Officially Launched! 🚀 - JigsawStack](https://jigsawstack.com/updates/jigsawstack-v3-has-officially-launched)\n20. [GitHub - JigsawStack/docs: JigsawStack Documentation](https://github.com/JigsawStack/docs)\n21. [Jigsaw Overview](https://www.w3.org/Jigsaw/)\n22. [Jigsaw | Jamstack](https://jamstack.org/generators/jigsaw/)\n23. [JigsawStack Reviews - 2025](https://slashdot.org/software/p/JigsawStack/)\n24. [JigsawStack Reviews in 2025](https://sourceforge.net/software/product/JigsawStack/)\n25. [JigsawStack Reviews and Pricing 2025 | F6S](https://www.f6s.com/software/jigsawstack)\n26. [Jigsaw Labs Reviews: Cost, Courses, and Outcomes](https://careerkarma.com/schools/jigsaw-labs/)\n27. [r/DatingApps on Reddit: Has anyone use Jigsaw dating app?](https://www.reddit.com/r/DatingApps/comments/14jo5op/has_anyone_use_jigsaw_dating_app/)\n28. [r/LocalLLaMA on Reddit: Mistral's New OCR Model (SaaS) - Best in Class](https://www.reddit.com/r/LocalLLaMA/comments/1j5l0sv/mistrals_new_ocr_model_saas_best_in_class/)\n29. [Jigsaw Cloud](https://www.jigsaw-cloud.com/)\n30. [JigsawStack: The AI SDK for every tech stack | BetaList](https://betalist.com/startups/jigsawstack)\n31. [Jigsaw Reviews: What Is It Like to Work At Jigsaw? | Glassdoor](https://www.glassdoor.com/Reviews/Jigsaw-Reviews-E1085057.htm)\n32. [Data Engineering Bootcamp Review: Jigsaw Labs](https://careerkarma.com/blog/deep-dive-jigsaw-labs-data-engineering-bootcamp/)\n",
"sources": [
    {
        "title": "JigsawStack: Purpose built AI models for your tech stack - JigsawStack",
        "url": "https://jigsawstack.com/",
        "description": "Custom small models trained for specialized use cases powered by scalable infrastructure",
        "content": null,
        "site_name": "JigsawStack",
        "site_long_name": "jigsawstack.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jigsawstack.com&size=96",
        "thumbnail": "https://jigsawstack.com/banner.jpg",
        "snippets": [
            "JigsawStack's AI models are organized into three key categories."
        ],
        "reference_number": 1
    },
    {
        "title": "jigsawstack - npm",
        "url": "https://www.npmjs.com/package/jigsawstack",
        "description": "The <strong>JigsawStack</strong> AI SDK is a Typescript/Javascript library that allows you to interact with powerful AI services to build AI-powered applications in any framework like Next.js, React, Vue, Svelte, and more that supports JS.",
        "content": null,
        "site_name": "npm",
        "site_long_name": "npmjs.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://npmjs.com&size=96",
        "thumbnail": "https://static-production.npmjs.com/338e4905a2684ca96e08c7780fc68412.png",
        "snippets": [
            "JigsawStack AI SDK is open-source and welcomes contributions. Please open an issue or submit a pull request with your changes.",
            "JigsawStack - The AI SDK for Typescript and Javascript. Latest version: 0.2.11, last published: 9 days ago. Start using jigsawstack in your project by running `npm i jigsawstack`. There are 4 other projects in the npm registry using jigsawstack.",
            "🍃 Lightweight and blazing fast, built ont native fetch with isomorphic-fetch for maximum compatibility · To learn more about all available JigsawStack AI services, view the Documentation or Website.",
            "Join JigsawStack community on Discord to connect with other developers, share ideas, and get help with the SDK."
        ],
        "reference_number": 2
    },
    {
        "title": "Jigsawstack - Crunchbase Company Profile & Funding",
        "url": "https://www.crunchbase.com/organization/jigsawstack",
        "description": "Jisawstack uses AI to create more intelligent text summaries.",
        "content": null,
        "site_name": "Crunchbase",
        "site_long_name": "crunchbase.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://crunchbase.com&size=96",
        "thumbnail": "https://images.crunchbase.com/image/upload/c_pad,h_256,w_256,f_auto,q_auto:eco,dpr_1/838e6af2c41e444cbb4f1e34d255b231",
        "snippets": [
            "AI Content may contain mistakes and is not legal, financial or investment advice.",
            "Whether an Organization is for profit or non-profit",
            "Funding Round: Name of the funding round where the Investment is made",
            "JigsawStack provides fine-tuned custom models that do the heavy lifting for APIs in every tech stack and helps ship faster."
        ],
        "reference_number": 3
    },
    {
        "title": "Introduction - JigsawStack",
        "url": "https://jigsawstack.com/docs/introduction",
        "description": "Welcome to the <strong>JigsawStack</strong> docs! Learn about how to use and integrate small models in your application.",
        "content": null,
        "site_name": "Jigsawstack",
        "site_long_name": "jigsawstack.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jigsawstack.com&size=96",
        "thumbnail": "https://jigsaw-13.mintlify.app/mintlify-assets/_next/image?url=%2Fapi%2Fog%3Fdivision%3DDocumentation%26title%3DIntroduction%26description%3DWelcome%2Bto%2Bthe%2BJigsawStack%2Bdocs%2521%2BLearn%2Babout%2Bhow%2Bto%2Buse%2Band%2Bintegrate%2Bsmall%2Bmodels%2Bin%2Byour%2Bapplication.%26logoLight%3Dhttps%253A%252F%252Fmintlify.s3.us-west-1.amazonaws.com%252Fjigsaw-13%252Flogo%252Flogo.svg%26logoDark%3Dhttps%253A%252F%252Fmintlify.s3.us-west-1.amazonaws.com%252Fjigsaw-13%252Flogo%252Flogo.svg%26primaryColor%3D%2523f25248%26lightColor%3D%2523f25248%26darkColor%3D%252318181A&amp;w=1200&amp;q=100",
        "snippets": [
            "JigsawStack is provides a suite of custom small models plugged into the right infrastructure to power your AI applications",
            "Learn more on how to get JigsawStack set up in your project.",
            "Learn how to use the JigsawStack Node.js SDK to build AI powered applications.",
            "import { JigsawStack } from \"jigsawstack\"; const jigsawstack = JigsawStack({ apiKey: \"your-api-key\", }); const result = await jigsawstack.web.ai_scrape({ url: \"https://www.amazon.com/Cadbury-Mini-Caramel-Eggs-Bulk/dp/B0CWM99G5W\", element_prompts: [\"prices\"], });"
        ],
        "reference_number": 4
    },
    {
        "title": "JigsawStack · GitHub",
        "url": "https://github.com/jigsawstack",
        "description": "Model Context Protocol Server that allows AI models to interact with <strong>JigsawStack</strong> models! ... OmiAI is an opinionated AI SDK for Typescript that auto-picks the best model from a suite of curated models depending on the prompt.",
        "content": null,
        "site_name": "GitHub",
        "site_long_name": "github.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://github.com&size=96",
        "thumbnail": "https://avatars.githubusercontent.com/u/157771398?s=200&amp;v=4",
        "snippets": [
            "JigsawStack/jigsawstack-python’s past year of commit activity ... Langflow is a powerful tool for building and deploying AI-powered agents and workflows.",
            "JigsawStack/jigsawstack-mcp-server’s past year of commit activity ... Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.",
            "JigsawStack/weaviate’s past year of commit activity ... OmiAI is an opinionated AI SDK for Typescript that auto-picks the best model from a suite of curated models depending on the prompt.",
            "Custom small models trained for high accuracy, focused specialization with scalable infrastructure - JigsawStack"
        ],
        "reference_number": 5
    },
    {
        "title": "jigsawstack · PyPI",
        "url": "https://pypi.org/project/jigsawstack/",
        "description": "The <strong>JigsawStack</strong> AI SDK is a Python library that allows you to interact with powerful AI services to build AI-powered applications.",
        "content": null,
        "site_name": "PyPI",
        "site_long_name": "pypi.org",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://pypi.org&size=96",
        "thumbnail": "https://pypi.org/static/images/twitter.abaf4b19.webp",
        "snippets": [
            "JigsawStack AI SDK is open-source and welcomes contributions. Please open an issue or submit a pull request with your changes.",
            "Join JigsawStack community on Discord to connect with other developers, share ideas, and get help with the SDK.",
            "Publisher: publish.yml on JigsawStack/jigsawstack-python Attestations: Values shown here reflect the state when the release was signed and may no longer be current.",
            "Details for the file jigsawstack-0.2.6-py3-none-any.whl."
        ],
        "reference_number": 6
    },
    {
        "title": "JigsawStack",
        "url": "https://console.groq.com/docs/jigsawstack",
        "description": "<strong>JigsawStack</strong> <strong>is</strong> a powerful AI SDK designed to integrate into any backend, automating tasks such as web scraping, Optical Character Recognition (OCR), translation, and more, using Large Language Models (LLMs).",
        "content": null,
        "site_name": "Groq",
        "site_long_name": "console.groq.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://console.groq.com&size=96",
        "thumbnail": "https://console.groq.com/og_cloudv5.jpg",
        "snippets": [
            "The JigsawStack Prompt Engine is a feature that allows you to not only leverage LLMs but automatically choose the best LLM for every one of your prompts, delivering lightning-fast inference speed and performance powered by Groq with features including:",
            "To get started, refer to the JigsawStack documentation here and learn how to set up your Prompt Engine here.",
            "Build Fast with GroqCloud"
        ],
        "reference_number": 7
    },
    {
        "title": "Pricing - JigsawStack",
        "url": "https://jigsawstack.com/pricing",
        "description": "For example, if you make a request to the OCR model, with 100 input tokens which took 3000ms to process and outputted 200 tokens, you will be charged 100 input tokens + 200 output tokens + 3000 tokens = 3300 tokens. Since token pricing is the same across all models, the calculation is the same ...",
        "content": null,
        "site_name": "JigsawStack",
        "site_long_name": "jigsawstack.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jigsawstack.com&size=96",
        "thumbnail": "https://jigsawstack.com/banner.jpg",
        "snippets": [
            "For example, if you make a request to the OCR model, with 100 input tokens which took 3000ms to process and outputted 200 tokens, you will be charged 100 input tokens + 200 output tokens + 3000 tokens = 3300 tokens. Since token pricing is the same across all models, the calculation is the same for all models at $1.40 per million tokens.",
            "All plans operate on a monthly cycle, with usage tracked monthly. If you're on a free plan, your requests will be paused if you reach the usage limit before the cycle ends. However, if you have a paid plan, there is no fixed limit, allowing for unlimited requests.",
            "Duration is calculated based on the time taken to process the request by the milliseconds (ms).",
            "It's free! File uploads are not counted towards your token usage. If the model outputs a file, the size of the files is used to calculate the output tokens regardless of the file type."
        ],
        "reference_number": 8
    },
    {
        "title": "JigsawStack vs Firecrawl - AI Web Scraping - JigsawStack",
        "url": "https://jigsawstack.com/blog/jigsawstack-vs-firecrawl-ai-web-scraping",
        "description": "Firecrawl relies heavily on LLMs ... and is limited by token constraints. <strong>JigsawStack</strong>, on the other hand, uses a custom trained model that mimics the steps a developer would take when scraping a site, from inspecting network logs to using CSS selectors. This results in higher quality data and greater reliability. ◐ = partial ❌ = inaccurate/fails ✅ = accurate/succeeds · Get API here: https://<strong>jigsawstack</strong>.com/ai-web-scraper ... Have questions or want to show off what you’ve ...",
        "content": null,
        "site_name": "JigsawStack",
        "site_long_name": "jigsawstack.com",
        "age": "2025-05-26T22:41:05.000Z",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jigsawstack.com&size=96",
        "thumbnail": "https://cdn.hashnode.com/res/hashnode/image/upload/v1748140922657/97640164-2188-46a1-af36-e934e2928225.png?auto=compress,format&amp;format=webp",
        "snippets": [
            "Firecrawl relies heavily on LLMs like GPT-4, which can produce errors, hallucinations, and is limited by token constraints. JigsawStack, on the other hand, uses a custom trained model that mimics the steps a developer would take when scraping a site, from inspecting network logs to using CSS selectors. This results in higher quality data and greater reliability. ◐ = partial ❌ = inaccurate/fails ✅ = accurate/succeeds · Get API here: https://jigsawstack.com/ai-web-scraper ... Have questions or want to show off what you’ve built?",
            "JigsawStack also returns the CSS selectors associated with the extracted content, so you can run your own scripts without needing to figure out how the website is structured.",
            "One of the most requested comparisons has been putting JigsawStack AI Web Scraper against Firecrawl. Before we jump into the tests we ran, we need to understand what makes a good web scraper or even what’s web scraping in the first place. Traditional...",
            "Firecrawl returns a false positive when attempting to scrape the OpenAI site, resulting in an empty dataset instead of an error. In contrast, JigsawStack successfully unblocks and scrapes the site as expected."
        ],
        "reference_number": 9
    },
    {
        "title": "JigsawStack Tool | 🦜️🔗 Langchain",
        "url": "https://js.langchain.com/docs/integrations/tools/jigsawstack/",
        "description": "The <strong>JigsawStack</strong> Tool provides your agent with the following capabilities:",
        "content": null,
        "site_name": "Langchain",
        "site_long_name": "js.langchain.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://js.langchain.com&size=96",
        "thumbnail": "https://js.langchain.com/img/brand/theme-image.png",
        "snippets": [
            "Here are some key details about the restaurant:\\n\\n- **Location**: Situated on the main road of Firostefani, Kokkalo is surrounded by the picturesque Cycladic architecture and provides stunning views of the Aegean Sea.\\n- **Cuisine**: The restaurant specializes in authentic Greek dishes, crafted from high-quality, locally sourced ingredients.",
            "The menu is designed to engage all senses and features a variety of Mediterranean flavors.\\n- **Ambiance**: Kokkalo boasts a chic and modern décor, creating a welcoming atmosphere for guests.",
            "JigsawStackAIScrape: Scrape web content using advanced AI.",
            "JigsawStackAISearch: Perform AI-powered web searches and retrieve high-quality results."
        ],
        "reference_number": 10
    },
    {
        "title": "Yoeven D Khemlani - Founder at JigsawStack 🧩 | LinkedIn",
        "url": "https://www.linkedin.com/in/yoeven/",
        "description": "Founder at <strong>JigsawStack</strong> 🧩 · Growing ideas into markets through disruptive technology &amp; great partnerships · Experience: <strong>JigsawStack</strong> · Education: Imperial College London · Location: Singapore · 500+ connections on LinkedIn. View Yoeven D Khemlani’s profile on LinkedIn, a professional ...",
        "content": null,
        "site_name": "LinkedIn",
        "site_long_name": "linkedin.com",
        "age": "2025-07-14T03:22:18.000Z",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://linkedin.com&size=96",
        "thumbnail": "https://media.licdn.com/dms/image/v2/D5603AQG8va4HC_b_Iw/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1708580251798?e=2147483647&amp;v=beta&amp;t=hVWwB1_jQLQAS-MRYP9LpYqIVvjuirEBnvhhrI_mlGA",
        "snippets": [
            "JigsawStack · Imperial College London · Portfolio · Report this profile · Growing ideas into markets through disruptive technology & great partnerships · Lets GOOO! NVIDIA AI just dropped Canary Qwen 2.5 - SoTA on Open ASR Leaderboard, CC-BY licensed 🔥 > Works in both ASR and LLM mode (i.e. ask the… · We shaved 1000ms off OpenAI’s latency. Here’s how: In real-time voice, latency is make-or-break.",
            "Founder at JigsawStack 🧩 · Growing ideas into markets through disruptive technology & great partnerships · Experience: JigsawStack · Education: Imperial College London · Location: Singapore · 500+ connections on LinkedIn. View Yoeven D Khemlani’s profile on LinkedIn, a professional community of 1 billion members.",
            "Stayr is SEA's first and fastest growing Property/Travel startup dealing with real-time spaces. We are building a digital ecosystem for approximately 50 million space providers in SEA.",
            "Our mission is to empower these space providers by enabling them to manage and grow their business using our technology platform, starting with monetizing their empty assets through our hourly ecosystem."
        ],
        "reference_number": 11
    },
    {
        "title": "Beyond the Box: The Future of Object Detection - JigsawStack",
        "url": "https://jigsawstack.com/blog/object-detection",
        "description": "Prompt-based Object Detection: ... frying”. Take a look at what our model detects for the prompt “four-legged fren &lt;3“ · Computer Use: understands and localizes user interface elements (e.g., buttons, sliders) for computer use. Following is a screenshot for detections ...",
        "content": null,
        "site_name": "JigsawStack",
        "site_long_name": "jigsawstack.com",
        "age": "2025-07-09T04:56:09.000Z",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jigsawstack.com&size=96",
        "thumbnail": "https://cdn.hashnode.com/res/hashnode/image/upload/v1752124980195/b90a61e9-fe22-4eef-91ba-b8b8e5c0436a.png?auto=compress,format&amp;format=webp",
        "snippets": [
            "Prompt-based Object Detection: Find anything you can describe—“find the red mug,” “show me cranes,” or even “utensils which can be used for frying”. Take a look at what our model detects for the prompt “four-legged fren <3“ · Computer Use: understands and localizes user interface elements (e.g., buttons, sliders) for computer use. Following is a screenshot for detections for VScode with a chat input pop-up for local computer use.",
            "Unlike plain image classification (which simply states “this is a cat”), object detection draws little boxes around objects. At JigsawStack, we’ve been developing the best small object detection and grounding model available, built to handle not just detection, but also spatial grounding, segmentation, and even UI element detection for computer use.",
            "In a world where browser agents now see, click, and reason, object detection is the backbone behind not just smart cameras, but UI automation, accessibility tech, and even creative tools. Computer use itself has exploded in the last three years, and under the hood, it’s all powered by the same core: visual grounding for object detection. Historically, object detection has been specialized for specific industries, factories, construction sites, and even medical research. But at JigsawStack, we asked: Can we build a single, small, general-purpose model that handles everything from segmenting any real-world object to grounding UI buttons?",
            "Image: JigsawStack-Object Detection for Segmentation, with prompt “helmets“ · Image: fal-ai/SAM-evf for Segmentation, with prompt “helmets“ · Getting started with our object detection model is incredibly straightforward. Whether you're developing a web or mobile app, our JavaScript and Python SDKs make the process seamless."
        ],
        "reference_number": 12
    },
    {
        "title": "JigsawStack: AI infra for your tech stack | Product Hunt",
        "url": "https://www.producthunt.com/products/jigsawstack",
        "description": "Custom small models trained for high accuracy, focused specialization with scalable infrastructure",
        "content": null,
        "site_name": "Product Hunt",
        "site_long_name": "producthunt.com",
        "age": "2024-08-03T18:05:13.000Z",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://producthunt.com&size=96",
        "thumbnail": "https://ph-files.imgix.net/d10fdafe-4d7b-425a-8793-cf62c6d4ebcc.jpeg?auto=format",
        "snippets": [
            "Follow JigsawStack Add to collection Share · Company Infojigsawstack.comGitHub · JigsawStack InfoLaunched in 2024View 2 launches · Forump/jigsawstack · SocialLinkedInX · JigsawStack v3 Custom AI models that scale with your stack · Launched on April 21st, 2025 ·"
        ],
        "reference_number": 13
    },
    {
        "title": "GitHub - JigsawStack/jigsawstack-python: Jigsawstack Python SDK",
        "url": "https://github.com/jigsawstack/jigsawstack-python",
        "description": "The <strong>JigsawStack</strong> AI SDK is a Python library that allows you to interact with powerful AI services to build AI-powered applications.",
        "content": null,
        "site_name": "GitHub",
        "site_long_name": "github.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://github.com&size=96",
        "thumbnail": "https://opengraph.githubassets.com/f8431ab3e5aa383786da364aa07eefeff68e7e0f072033540d088f0849fa6fff/JigsawStack/jigsawstack-python",
        "snippets": [
            "JigsawStack AI SDK is open-source and welcomes contributions. Please open an issue or submit a pull request with your changes.",
            "Jigsawstack Python SDK. Contribute to JigsawStack/jigsawstack-python development by creating an account on GitHub.",
            "Join JigsawStack community on Discord to connect with other developers, share ideas, and get help with the SDK."
        ],
        "reference_number": 14
    },
    {
        "title": "GitHub - JigsawStack/jigsawstack-mcp-server: Model Context Protocol Server that allows AI models to interact with JigsawStack models!",
        "url": "https://github.com/JigsawStack/jigsawstack-mcp-server",
        "description": "<strong>JigsawStack</strong> MCP (Model Context Protocol) Server is a versatile platform designed to facilitate the integration and management of various tools. Each directory within the server represents a distinct tool that can be utilized for different purposes by an LLM.",
        "content": null,
        "site_name": "GitHub",
        "site_long_name": "github.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://github.com&size=96",
        "thumbnail": "https://opengraph.githubassets.com/68364f388a1f095ec970de4fba3b6a391f4e6a694d5af80d818589f1373f648b/JigsawStack/jigsawstack-mcp-server",
        "snippets": [
            "The server is built using Node.js and Express.js, and each tool is encapsulated within its own directory, making it easy to add, remove, or update tools without affecting the overall system. Start by obtaining your JIGSAWSTACK_API_KEY from the our website. You will need this key to access the JigsawStack services.",
            "You can get your API key by signing up for a free account at JigsawStack. ... Ensure you have git installed on your system. Ensure you have node.js and npm installed. Alternatively, you can use yarn instead of npm. as a package manager. ... MCP stands for Model Context Protocol. It is a framework that allows users to integrate LLMs and manage various tools and components exposing external data in a modular fashion.",
            "There are four tools available in the MCP Server. Each tool is contained within its own directory and has its own set of instructions for use. ... Export the JIGSAWSTACK_API_KEY environment variable with your JIGSAWSTACK API key.",
            "For any questions or issues, please contact us at [e-mail]."
        ],
        "reference_number": 15
    },
    {
        "title": "Introducing JigsawStack Deep Research - JigsawStack",
        "url": "https://jigsawstack.com/blog/introducing-jigsawstack-deep-research",
        "description": "What is Deep Research? <strong>JigsawStack</strong>’s Deep Research is an open source framework performing for multi-hop, AI-assisted research. The framework orchestrates large language models (LLMs), recursive web searches, and structured reasoning to generate compr...",
        "content": null,
        "site_name": "JigsawStack",
        "site_long_name": "jigsawstack.com",
        "age": "2025-05-29T23:55:55.000Z",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jigsawstack.com&size=96",
        "thumbnail": "https://cdn.hashnode.com/res/hashnode/image/upload/v1748475567444/8acb0a25-163a-4763-8d80-a85a559d784f.png?auto=compress,format&amp;format=webp",
        "snippets": [
            "As we continue to evolve Deep Research, the next major milestone is full integration into JigsawStack’s web search API. Currently, Deep Research uses JigsawStack’s search API for retrieving public content. Going forward, we’re expanding this connection to make the research experience even more seamless and intelligent. Have questions or want to show off what you’ve built?",
            "JigsawStack’s Deep Research is an open source framework performing for multi-hop, AI-assisted research. The framework orchestrates large language models (LLMs), recursive web searches, and structured reasoning to generate comprehensive, evidence-backed reports via our deep-research SDK.",
            "One of the core strengths of JigsawStack’s Deep Research is how deeply customizable it is.",
            "Sources Discrepancy - Some sources provided are not quoted on the report. Even if a URL isn’t directly cited in the final report, it may still play a critical role in shaping the system’s reasoning."
        ],
        "reference_number": 16
    },
    {
        "title": "Introduction - Documentation",
        "url": "https://docs.jigsawstack.com/quick-start/node/introduction",
        "description": "Learn how to use the <strong>JigsawStack</strong> Node.js SDK to build AI powered applications.",
        "content": null,
        "site_name": "Jigsawstack",
        "site_long_name": "docs.jigsawstack.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://docs.jigsawstack.com&size=96",
        "snippets": [
            "You should have installed Node.js (version 18.10.0 or higher)."
        ],
        "reference_number": 17
    },
    {
        "title": "Jigsaw – Static Sites for Laravel Developers",
        "url": "https://jigsaw.tighten.com/",
        "description": "Blade is a powerful, simple, and ... can use the same templating engine for simple <strong>websites</strong> as you do for complex web applications. ... Markdown is a fantastic writing format for things like articles, blog posts, <strong>or</strong> <strong>documentation</strong> pages....",
        "content": null,
        "site_name": "Tighten",
        "site_long_name": "jigsaw.tighten.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jigsaw.tighten.com&size=96",
        "snippets": [
            "Blade is a powerful, simple, and beautiful templating language, but until now it wasn't an option if you were building a simple static site that didn't need a complex PHP backend. Jigsaw brings Blade to the static site world, so you can use the same templating engine for simple websites as you do for complex web applications. ... Markdown is a fantastic writing format for things like articles, blog posts, or documentation pages."
        ],
        "reference_number": 18
    },
    {
        "title": "JigsawStack v3 Has Officially Launched! 🚀 - JigsawStack",
        "url": "https://jigsawstack.com/updates/jigsawstack-v3-has-officially-launched",
        "description": "We&#x27;re thrilled to announce the <strong>official</strong> launch of <strong>JigsawStack</strong> v3 along with our new token-based pricing model! These updates underscore our commitment to making infrastructure automation both accessible and genuinely valuable for developers like you....",
        "content": null,
        "site_name": "JigsawStack",
        "site_long_name": "jigsawstack.com",
        "age": "2025-04-18T23:09:00.000Z",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jigsawstack.com&size=96",
        "thumbnail": "https://jigsawstack.com/banner.jpg",
        "snippets": [
            "Be sure to check our updated documentation to navigate these updates smoothly. Secured $1.5M funding from Ada Ventures and Antler · Welcomed Harsha Vardhan Khurdula as our Founding AI Researcher · Benchmarking shows JigsawStack vOCR outperforming Mistral OCR ... We're rolling out continuous enhancements throughout April and May. Keep an eye on your inbox for more exciting announcements! Our team is ready to help with any questions or feedback:"
        ],
        "reference_number": 19
    },
    {
        "title": "GitHub - JigsawStack/docs: JigsawStack Documentation",
        "url": "https://github.com/JigsawStack/docs",
        "description": "<strong>JigsawStack</strong> <strong>Documentation</strong>. Contribute to <strong>JigsawStack</strong>/docs development by creating an account on GitHub.",
        "content": null,
        "site_name": "GitHub",
        "site_long_name": "github.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://github.com&size=96",
        "thumbnail": "https://opengraph.githubassets.com/ea319ae63277dcba47f2697c2b8d32e2fd85069b3f98bffe4c83e21e2bc40f2f/JigsawStack/docs",
        "snippets": [
            "JigsawStack documentation is open-source and welcomes contributions. Please open an issue or submit a pull request with your changes."
        ],
        "reference_number": 20
    },
    {
        "title": "Jigsaw Overview",
        "url": "https://www.w3.org/Jigsaw/",
        "description": "Bug reports, questions on the current design, etc. should be directed to [e-mail]. To subscribe to [e-mail], send a mail to [e-mail] with &quot;subscribe&quot; in the subject. The Jigsaw distribution contains the Java source code, the <strong>documentation</strong> and the pre-compiled classes.",
        "content": null,
        "site_name": "W3C",
        "site_long_name": "w3.org",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://w3.org&size=96",
        "snippets": [
            "There is also an experimental printable documentation, available in pdf or postscript.",
            "It's purposely intended as a project to showcase new technologies, but in the case of Jigsaw 2.0, this Web server also ends up being more robust than the average Web server. Most importantly, though, Jigsaw serves as a useful blueprint to the future of the HTTP protocol and object-oriented Web servers.",
            "This is a WebDAV implementation based on Jigsaw 2.1.2, it has been tested with cadaver, DAVExplorer and WebFolders. Go to webdav.org for a more complete list of DAV client.",
            "\"WebDAV stands for \"Web-based Distributed Authoring and Versioning\". It is a set of extensions to the HTTP protocol which allows users to collaboratively edit and manage files on remote web servers.\" (webdav.org)"
        ],
        "reference_number": 21
    },
    {
        "title": "Jigsaw | Jamstack",
        "url": "https://jamstack.org/generators/jigsaw/",
        "description": "Jigsaw brings Blade to the static site world, so you can use the same templating engine for simple <strong>websites</strong> as you do for complex web applications. Markdown is a fantastic writing format for things like articles, blog posts, <strong>or</strong> <strong>documentation</strong> pages.",
        "content": null,
        "site_name": "Jamstack",
        "site_long_name": "jamstack.org",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jamstack.org&size=96",
        "thumbnail": "https://www.jamstack.org/img/og/default-og-image.png",
        "snippets": [
            "Static sites for Laravel developers"
        ],
        "reference_number": 22
    },
    {
        "title": "JigsawStack Reviews - 2025",
        "url": "https://slashdot.org/software/p/JigsawStack/",
        "description": "<strong>JigsawStack</strong> user <strong>reviews</strong> from verified <strong>software</strong> and service customers. Explore ratings, <strong>reviews</strong>, pricing, features, and integrations offered by the Artificial Intelligence (AI) APIs product, <strong>JigsawStack</strong>.",
        "content": null,
        "site_name": "Slashdot",
        "site_long_name": "slashdot.org",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://slashdot.org&size=96",
        "thumbnail": "https://a.fsdn.com/allura/s/jigsawstack/icon?d5b9a6b58f8b119c5c5a42c11d7a6e794f7f2da9b7f713cb1c3ff366ef869af2?&amp;w=148",
        "snippets": [
            "They will help you select the best software for your business. ... Submitting... ... JigsawStack aims to make AI APIs accessible to all users. We specialize in creating tailored models that alleviate your workload, allowing you to concentrate on your core objectives. Our APIs are crafted to integrate effortlessly with any technology stack, helping you accelerate your development process and prioritize product innovation.",
            "For instance, one could create a model designed to recognize particular machine components on a production line or to monitor the health of plants. The beauty of Amazon Rekognition Custom Labels lies in its ability to handle the complexities of model development, ensuring that users need not possess any background in machine learning to effectively utilize this technology.",
            "Accelerate your shipping process by integrating seamlessly with our Python SDK or REST API in just a matter of minutes, without the need for any prior configurations or data formatting. You can hit the ground running as soon as you start receiving data and onboarding your initial customers. Our... ... D-ID, a leading technology company that specializes in generative AI and synthesized media, is best known for the Creative Reality Studio.",
            "While many data enrichment models focus narrowly on specific markets—whether in the US or Europe, business or consumer—they often struggle to generalize and achieve results at a level comparable to human performance. In contrast, our solution allows you to harness the capabilities of the most extensive and efficient models globally, integrating them into your products with minimal investment of both time and resources. This ensures that you can not only keep pace but excel in today’s data-driven landscape. Learn more ... No User Reviews."
        ],
        "reference_number": 23
    },
    {
        "title": "JigsawStack Reviews in 2025",
        "url": "https://sourceforge.net/software/product/JigsawStack/",
        "description": "Learn about <strong>JigsawStack</strong>. Read <strong>JigsawStack</strong> <strong>reviews</strong> from real users, and view pricing and features of the Artificial Intelligence (AI) APIs <strong>software</strong>",
        "content": null,
        "site_name": "SourceForge",
        "site_long_name": "sourceforge.net",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://sourceforge.net&size=96",
        "thumbnail": "https://a.fsdn.com/allura/s/jigsawstack/icon?d5b9a6b58f8b119c5c5a42c11d7a6e794f7f2da9b7f713cb1c3ff366ef869af2",
        "snippets": [
            "Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and... ... Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human...",
            "No prior setups or data formatting. You can get going straight away as soon as you have incoming data and your first customers. We have built and fine-tuned custom language models to recognize entities, automatically crawl the... ... D-ID is a cutting-edge technology company specializing in generative AI and synthetic media, best known for its innovative Creative Reality Studio.",
            "This software hasn't been reviewed yet.",
            "For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required. Learn more ... AI APIs for everyone. At JigsawStack, we're committed to building finely-tuned custom models that take the heavy lifting off your shoulders."
        ],
        "reference_number": 24
    },
    {
        "title": "JigsawStack Reviews and Pricing 2025 | F6S",
        "url": "https://www.f6s.com/software/jigsawstack",
        "description": "<strong>JigsawStack</strong> <strong>reviews</strong>, pricing and more with discounts and AI Infrastructure alternatives. <strong>JigsawStack</strong> provides a suite of custom small AI models integrated into...",
        "content": null,
        "site_name": "F6S",
        "site_long_name": "f6s.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://f6s.com&size=96",
        "thumbnail": "https://www.f6s.com/content-resource/profiles/5950317_2f1323b112c43f00c8d55d5280800f2c7d077e53_th1.jpg",
        "snippets": [
            "AI (Artificial Intelligence)Software DevelopmentData & AnalyticsCyber SecurityAI InfrastructureREST APIWebOCR (Optical Character Recognition)AI Web ScraperTTS (Text-to-Speech)Speech-to-TextAI TranslationAI PredictionPrompt EngineAPI LoggingTeam ManagementLow Latency APINet InfrastructureCustom AI ModelsWeb SearchAPI Key Control ... JigsawStack provides a suite of custom small AI models integrated into a robust infrastructure to power various AI applications.",
            "F6S uses cookies to deliver, improve and measure our services, as well as keep F6S safe from spam, fraud and abuse. Choose Accept if that's OK or Reject to pass on non-essential cookies.",
            "- 100 invocations included - 2-day log retention - Basic email & community support - 1 free project - 1 team member - Include the JigsawStack badge on your website footer"
        ],
        "reference_number": 25
    },
    {
        "title": "Jigsaw Labs Reviews: Cost, Courses, and Outcomes",
        "url": "https://careerkarma.com/schools/jigsaw-labs/",
        "description": "Read this guide to learn more about Jigsaw Labs programs and access real Jigsaw Labs <strong>reviews</strong> to help you start your bootcamp journey.",
        "content": null,
        "site_name": "CareerKarma",
        "site_long_name": "careerkarma.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://careerkarma.com&size=96",
        "thumbnail": "https://d1psgljc389n8q.cloudfront.net/bootcamps/logos/SSq-G1Ed4",
        "snippets": [
            "This allows graduates to find work in full stack software engineering, cloud computing technology, machine learning, and other data science jobs. No, Jigsaw Labs isn't accredited. Nonetheless, even if the Jigsaw Labs accredited status has not yet been achieved, the school has been widely recognized by various organizations.",
            "- Jeff is a very experienced engineer, instructor and curriculum developer so he knows what to teach and how to teach it - The curriculum gives exposure to more topics than other programs which let me discover which areas of software...See more ... - The program when I took it didn't include frontend which is awesome that's been added and a great differentiator ... The Jigsaw Labs job placement rate is truly an amazing feature of this course that sets it apart from other programs. The school’s website claims that 100% of its graduates found a job within six months after graduation. Moreover, Jigsaw Labs can get you a job with a yearly income of $70,000, or they will refund your total course fee.",
            "Topics covered includes navigating a file and codebase, proper git workflow, proper testing workflow, and agile development. We follow an EXTreme Programming model. 3. Data Pipelines: In our data specialization, students learn the latest technologies used by data analysts, analytics engineers and data engineers.",
            "Best Coding Bootcamps Best Online Bootcamps Best Web Design Bootcamps Best Data Science Bootcamps Best Technology Sales Bootcamps Best Data Analytics Bootcamps Best Cyber Security Bootcamps Best ISA Bootcamps 2025"
        ],
        "reference_number": 26
    },
    {
        "title": "r/DatingApps on Reddit: Has anyone use Jigsaw dating app?",
        "url": "https://www.reddit.com/r/DatingApps/comments/14jo5op/has_anyone_use_jigsaw_dating_app/",
        "description": "I think <strong>their only utility is in serving a niche community that has trouble finding people in person</strong>. So for instance my app is focusing on kinky and alt lifestyle people. Trying to meet someone like that on the street is near impossible as 80% of the population at large somewhat or heavily ...",
        "content": null,
        "site_name": "Reddit",
        "site_long_name": "reddit.com",
        "age": "2023-06-26T17:51:33.000Z",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://reddit.com&size=96",
        "thumbnail": "https://share.redd.it/preview/post/14jo5op",
        "snippets": [
            "Posted by u/MyVermontAccount121 - 8 votes and 37 comments",
            "I think their only utility is in serving a niche community that has trouble finding people in person. So for instance my app is focusing on kinky and alt lifestyle people. Trying to meet someone like that on the street is near impossible as 80% of the population at large somewhat or heavily disapprove of non-monogamy.",
            "Why in God's name would you cover a person's name with a jigsaw puzzle and then ask them to have it removed only after 10 or so messages? You are going to put the user in a place where they will invariably end up being disappointed at least over 50% of the time.",
            "Were you an actual user or did you just not like the idea? We know empirically that attraction to people changes overtime. And it’s fairly common knowledge that a lot of people take shit pictures. I’ve personally had this experience several times over where I was like “eh they look ok."
        ],
        "reference_number": 27
    },
    {
        "title": "r/LocalLLaMA on Reddit: Mistral's New OCR Model (SaaS) - Best in Class",
        "url": "https://www.reddit.com/r/LocalLLaMA/comments/1j5l0sv/mistrals_new_ocr_model_saas_best_in_class/",
        "description": "92 votes, 39 comments. Mistral just announced a new model specialized on OCR, beating Azure OCR and Google Document AI. Sadly it is only offered as…",
        "content": null,
        "site_name": "Reddit",
        "site_long_name": "reddit.com",
        "age": "2025-03-07T11:04:24.000Z",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://reddit.com&size=96",
        "thumbnail": "https://www.redditstatic.com/icon.png",
        "snippets": [
            "Posted by u/Auslieferator - 92 votes and 39 comments",
            "Updated now: https://jigsawstack.com/docs/examples/file-upload. We're also working on updating the rest of our code blocks to ensure a smoother experience. ... An almost 60-fold price increase for a marginally better product suggests a disproportionate value exchange. Your product is either not in the same category or is not meat to be used for the same purpose (or just isn't better at all).",
            "Do you know about any other OCR specialized LLMs or stacks of LLMs and other computer vision software, achieving similar results? I am currently playing with Qwen2.5 VL 7B Instruct.",
            "Nope, just reused the image jigsawstack (u/DisplaySomething) had in their blog."
        ],
        "reference_number": 28
    },
    {
        "title": "Jigsaw Cloud",
        "url": "https://www.jigsaw-cloud.com/",
        "description": "Delivering SuccessFactors solutions with a simplicity, efficiency, and affordability that can&#x27;t be matched.",
        "content": null,
        "site_name": "Jigsaw-cloud",
        "site_long_name": "jigsaw-cloud.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://jigsaw-cloud.com&size=96",
        "snippets": [
            "We deliver world-class solutions designed with mid-sized businesses in mind, offering competitive pricing and affordability without ever compromising on quality or performance."
        ],
        "reference_number": 29
    },
    {
        "title": "JigsawStack: The AI SDK for every tech stack | BetaList",
        "url": "https://betalist.com/startups/jigsawstack",
        "description": "<strong>JigsawStack</strong> automates the boring and complex tasks in every tech stack with custom AI models specialized for each task · AI services include AI Web Scraper, Prompt Engine, vOCR, AI Translation, STT, TTS and more",
        "content": null,
        "site_name": "BetaList",
        "site_long_name": "betalist.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://betalist.com&size=96",
        "thumbnail": "https://resize.imagekit.co/D39vB7cRyd37XfC-REe6jN9dYPWoOH0qt5rrCxzYchM/plain/s3://betalist-production/yea7dzenivj3kzuf51ofruzj6594",
        "snippets": [
            "The AI SDK for every tech stack",
            "Check out the full list of APIs on the docs here: https://docs.jigsawstack.com/api-reference · Email me at [email protected] and share 1 feedback or use case and get 3 months free usage"
        ],
        "reference_number": 30
    },
    {
        "title": "Jigsaw Reviews: What Is It Like to Work At Jigsaw? | Glassdoor",
        "url": "https://www.glassdoor.com/Reviews/Jigsaw-Reviews-E1085057.htm",
        "description": "10 Jigsaw <strong>reviews</strong>. A free inside look at company <strong>reviews</strong> and salaries posted anonymously by employees.",
        "content": null,
        "site_name": "Glassdoor",
        "site_long_name": "glassdoor.com",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://glassdoor.com&size=96",
        "snippets": [
            "Great technology, does more with less than most other solutions. Very affordable and company provides flexible pricing to meet clients needs. ... Sr. Management, over baring, micro-management, not willing to accept responsibility, puts blame on all others, and will not listen or be open to ideas that will help grow the business.",
            "Management has hired a great group of employees that work together as a team with the mentality we all win or lose together.",
            "Choose a different language and keep reading other reviews."
        ],
        "reference_number": 31
    },
    {
        "title": "Data Engineering Bootcamp Review: Jigsaw Labs",
        "url": "https://careerkarma.com/blog/deep-dive-jigsaw-labs-data-engineering-bootcamp/",
        "description": "Jigsaw Labs offers a path into the underappreciated data engineering field with a program that also covers full stack <strong>software</strong> engineering tools. Find out more here.",
        "content": null,
        "site_name": "Career Karma",
        "site_long_name": "careerkarma.com",
        "age": "2021-10-11T07:08:51.000Z",
        "language": "en",
        "image_urls": [],
        "links": [],
        "is_safe": true,
        "favicon": "https://t1.gstatic.com/faviconV2?client=SOCIAL&type=FAVICON&fallback_opts=TYPE,SIZE,URL&url=https://careerkarma.com&size=96",
        "thumbnail": "https://careerkarma.com/blog/wp-content/uploads/2021/09/Jigsaw-Labs-1.png",
        "snippets": [
            "We believe that user-generated reviews offer valuable insights and diverse perspectives, helping our users make informed decisions about their educational and career journeys. ... By completing and submitting this form, you agree that Career Karma, LLC may deliver or cause to be delivered information, advertisements, and telemarketing messages regarding their services by email, call, text, recording, and message using a telephone system, dialer, automated technology or system, artificial or prerecorded voice or message device to your email and/or telephone number(s) (and not any other person’s email or telephone number) that you entered.",
            "Students learn backend technologies like Python, Postgres, and testing alongside cloud computing technology like Amazon Web Services (AWS) and Docker while learning how to properly collect data through data pipelines.  · Modern software engineers can benefit from these tools just as much as data engineers.",
            "Jigsaw Labs’s flagship data engineering course teaches full-stack software and data engineering skills within 24 weeks. Students learn from 6.30 pm to 9.30 pm on Tuesday through Thursday, with a full day on Sunday from 12.30 pm to 9.30 pm. As noted above, this schedule allows you to catch up with the course’s comprehensive curriculum in case you fall behind. The first part of the course covers full-stack engineering. You’ll develop skills in Python, SQL, and Flask, front end technologies like HTML, CSS, and React, and finish with AWS and Docker.",
            "Finally, different queries may be run against this data to present to various stakeholders—whether in operations, marketing, product, or other data professionals. At coding bootcamps like Jigsaw Labs, you can learn the software engineering skills you need to do this job well, at a respectable price."
        ],
        "reference_number": 32
    }
],
"geo_results": [],
"image_urls": [
    "https://jigsawstack.com/banner.jpg",
    "https://static-production.npmjs.com/338e4905a2684ca96e08c7780fc68412.png",
    "https://images.crunchbase.com/image/upload/c_pad,h_256,w_256,f_auto,q_auto:eco,dpr_1/838e6af2c41e444cbb4f1e34d255b231",
    "https://jigsaw-13.mintlify.app/mintlify-assets/_next/image?url=%2Fapi%2Fog%3Fdivision%3DDocumentation%26title%3DIntroduction%26description%3DWelcome%2Bto%2Bthe%2BJigsawStack%2Bdocs%2521%2BLearn%2Babout%2Bhow%2Bto%2Buse%2Band%2Bintegrate%2Bsmall%2Bmodels%2Bin%2Byour%2Bapplication.%26logoLight%3Dhttps%253A%252F%252Fmintlify.s3.us-west-1.amazonaws.com%252Fjigsaw-13%252Flogo%252Flogo.svg%26logoDark%3Dhttps%253A%252F%252Fmintlify.s3.us-west-1.amazonaws.com%252Fjigsaw-13%252Flogo%252Flogo.svg%26primaryColor%3D%2523f25248%26lightColor%3D%2523f25248%26darkColor%3D%252318181A&amp;w=1200&amp;q=100",
    "https://avatars.githubusercontent.com/u/157771398?s=200&amp;v=4",
    "https://pypi.org/static/images/twitter.abaf4b19.webp",
    "https://console.groq.com/og_cloudv5.jpg",
    "https://cdn.hashnode.com/res/hashnode/image/upload/v1748140922657/97640164-2188-46a1-af36-e934e2928225.png?auto=compress,format&amp;format=webp",
    "https://js.langchain.com/img/brand/theme-image.png",
    "https://media.licdn.com/dms/image/v2/D5603AQG8va4HC_b_Iw/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1708580251798?e=2147483647&amp;v=beta&amp;t=hVWwB1_jQLQAS-MRYP9LpYqIVvjuirEBnvhhrI_mlGA",
    "https://cdn.hashnode.com/res/hashnode/image/upload/v1752124980195/b90a61e9-fe22-4eef-91ba-b8b8e5c0436a.png?auto=compress,format&amp;format=webp",
    "https://status.jigsawstack.com/assets/status_pages/og_operational-b02e3c30367784b0fc6f0ad9a8278409c336107a0eab28aa64f0f55458d91567.png",
    "https://ph-files.imgix.net/d10fdafe-4d7b-425a-8793-cf62c6d4ebcc.jpeg?auto=format",
    "https://opengraph.githubassets.com/f8431ab3e5aa383786da364aa07eefeff68e7e0f072033540d088f0849fa6fff/JigsawStack/jigsawstack-python",
    "https://opengraph.githubassets.com/68364f388a1f095ec970de4fba3b6a391f4e6a694d5af80d818589f1373f648b/JigsawStack/jigsawstack-mcp-server",
    "https://cdn.hashnode.com/res/hashnode/image/upload/v1748475567444/8acb0a25-163a-4763-8d80-a85a559d784f.png?auto=compress,format&amp;format=webp",
    "https://jigsawstack.com/banner.jpg",
    "https://jigsaw-13.mintlify.app/mintlify-assets/_next/image?url=%2Fapi%2Fog%3Fdivision%3DDocumentation%26title%3DIntroduction%26description%3DWelcome%2Bto%2Bthe%2BJigsawStack%2Bdocs%2521%2BLearn%2Babout%2Bhow%2Bto%2Buse%2Band%2Bintegrate%2Bsmall%2Bmodels%2Bin%2Byour%2Bapplication.%26logoLight%3Dhttps%253A%252F%252Fmintlify.s3.us-west-1.amazonaws.com%252Fjigsaw-13%252Flogo%252Flogo.svg%26logoDark%3Dhttps%253A%252F%252Fmintlify.s3.us-west-1.amazonaws.com%252Fjigsaw-13%252Flogo%252Flogo.svg%26primaryColor%3D%2523f25248%26lightColor%3D%2523f25248%26darkColor%3D%252318181A&amp;w=1200&amp;q=100",
    "https://avatars.githubusercontent.com/u/157771398?s=200&amp;v=4",
    "https://static-production.npmjs.com/338e4905a2684ca96e08c7780fc68412.png",
    "https://console.groq.com/og_cloudv5.jpg",
    "https://status.jigsawstack.com/assets/status_pages/og_operational-b02e3c30367784b0fc6f0ad9a8278409c336107a0eab28aa64f0f55458d91567.png",
    "https://opengraph.githubassets.com/f8431ab3e5aa383786da364aa07eefeff68e7e0f072033540d088f0849fa6fff/JigsawStack/jigsawstack-python",
    "https://images.crunchbase.com/image/upload/c_pad,h_256,w_256,f_auto,q_auto:eco,dpr_1/838e6af2c41e444cbb4f1e34d255b231",
    "https://pypi.org/static/images/twitter.abaf4b19.webp",
    "https://js.langchain.com/img/brand/theme-image.png",
    "https://opengraph.githubassets.com/ea319ae63277dcba47f2697c2b8d32e2fd85069b3f98bffe4c83e21e2bc40f2f/JigsawStack/docs",
    "https://www.jamstack.org/img/og/default-og-image.png",
    "https://a.fsdn.com/allura/s/jigsawstack/icon?d5b9a6b58f8b119c5c5a42c11d7a6e794f7f2da9b7f713cb1c3ff366ef869af2?&amp;w=148",
    "https://a.fsdn.com/allura/s/jigsawstack/icon?d5b9a6b58f8b119c5c5a42c11d7a6e794f7f2da9b7f713cb1c3ff366ef869af2",
    "https://jigsawstack.com/banner.jpg",
    "https://www.f6s.com/content-resource/profiles/5950317_2f1323b112c43f00c8d55d5280800f2c7d077e53_th1.jpg",
    "https://d1psgljc389n8q.cloudfront.net/bootcamps/logos/SSq-G1Ed4",
    "https://cdn.hashnode.com/res/hashnode/image/upload/v1748140922657/97640164-2188-46a1-af36-e934e2928225.png?auto=compress,format&amp;format=webp",
    "https://images.crunchbase.com/image/upload/c_pad,h_256,w_256,f_auto,q_auto:eco,dpr_1/838e6af2c41e444cbb4f1e34d255b231",
    "https://share.redd.it/preview/post/14jo5op",
    "https://www.redditstatic.com/icon.png",
    "https://resize.imagekit.co/D39vB7cRyd37XfC-REe6jN9dYPWoOH0qt5rrCxzYchM/plain/s3://betalist-production/yea7dzenivj3kzuf51ofruzj6594",
    "https://careerkarma.com/blog/wp-content/uploads/2021/09/Jigsaw-Labs-1.png",
    "https://media.licdn.com/dms/image/v2/D5603AQG8va4HC_b_Iw/profile-displayphoto-shrink_200_200/profile-displayphoto-shrink_200_200/0/1708580251798?e=2147483647&amp;v=beta&amp;t=hVWwB1_jQLQAS-MRYP9LpYqIVvjuirEBnvhhrI_mlGA"
],
"links": [],
"_usage": {
    "input_tokens": 11,
    "output_tokens": 16516,
    "inference_time_tokens": 36807,
    "total_tokens": 53334
}
}