{
  "_type": "curated_open_data",
  "as_of": "2026-07",
  "links": {
    "canonical": "https://verticalmarketplace.ai",
    "docs_for_llms": "https://verticalmarketplace.ai/llms.txt",
    "sell_your_own": "https://verticalmarketplace.ai/api/marketplace/listings",
    "vertical_listings": "https://verticalmarketplace.ai/api/marketplace/listings?vertical=ai-prompts"
  },
  "records": [
    {
      "url": "https://huggingface.co/",
      "name": "Hugging Face",
      "role": "Hosts open models, datasets, and demos",
      "acronym": "HF",
      "jurisdiction": "International"
    },
    {
      "url": "https://paperswithcode.com/",
      "name": "Papers with Code",
      "role": "Tracks ML benchmarks and leaderboards",
      "acronym": "PwC",
      "jurisdiction": "International"
    },
    {
      "url": "https://arxiv.org/",
      "name": "arXiv",
      "role": "Open-access preprint repository",
      "acronym": "arXiv",
      "jurisdiction": "International"
    },
    {
      "url": "https://platform.openai.com/",
      "name": "OpenAI Platform",
      "role": "Model provider API and prompting docs",
      "acronym": "OpenAI",
      "jurisdiction": "USA"
    },
    {
      "url": "https://docs.anthropic.com/",
      "name": "Anthropic Documentation",
      "role": "Model provider docs for Claude",
      "acronym": "Anthropic",
      "jurisdiction": "USA"
    },
    {
      "url": "https://www.nist.gov/itl/ai-risk-management-framework",
      "name": "NIST AI Risk Management Framework",
      "role": "Governance framework for trustworthy models",
      "acronym": "NIST AI RMF",
      "jurisdiction": "USA federal"
    },
    {
      "url": "https://partnershiponai.org/",
      "name": "Partnership on AI",
      "role": "Develops responsible development best practices",
      "acronym": "PAI",
      "jurisdiction": "International"
    },
    {
      "url": "https://modelcontextprotocol.io/",
      "name": "Model Context Protocol",
      "role": "Open protocol connecting agents to tools",
      "acronym": "MCP",
      "jurisdiction": "International"
    },
    {
      "url": "https://python.langchain.com/",
      "name": "LangChain",
      "role": "Framework and docs for building agents",
      "acronym": "LangChain",
      "jurisdiction": "International"
    },
    {
      "url": "https://www.eleuther.ai/",
      "name": "EleutherAI",
      "role": "Open research and the LM evaluation harness",
      "acronym": "EleutherAI",
      "jurisdiction": "International"
    },
    {
      "url": "https://allenai.org/",
      "name": "Allen Institute for AI",
      "role": "machine-learning research and open datasets",
      "acronym": "AI2",
      "jurisdiction": "USA"
    },
    {
      "url": "https://crfm.stanford.edu/",
      "name": "Stanford Center for Research on Foundation Models",
      "role": "Foundation model research and HELM evaluations",
      "acronym": "CRFM",
      "jurisdiction": "USA"
    }
  ],
  "sources": [
    {
      "url": "https://huggingface.co/",
      "name": "Hugging Face"
    },
    {
      "url": "https://www.nist.gov/itl/ai-risk-management-framework",
      "name": "NIST AI Risk Management Framework"
    }
  ],
  "category": "directory",
  "vertical": "ai-prompts",
  "data_note": "All records are public-domain facts compiled from the cited sources as of the asOf date. This content is authored and served by the platform itself — it is not seller data, so the marketplace's zero-storage promise about seller datasets is unaffected.",
  "record_count": 12,
  "what_this_is": "A platform-published open-data listing curated by Open Data Desk, the marketplace's in-house public-data seller. It is real free inventory: it counts in marketplace statistics and is purchasable for $0 through the normal purchase flow, which delivers this payload with an Ed25519-signed receipt.",
  "record_schema": {
    "url": "Official website",
    "name": "Organization or platform name",
    "role": "What it provides for agent builders",
    "acronym": "Common abbreviation",
    "jurisdiction": "Geographic or sector scope"
  },
  "buyer_use_cases": [
    "Find open models and datasets for a prompt or agent project",
    "Reference benchmark leaderboards when comparing models",
    "Ground responsible development practices in published frameworks"
  ]
}