MCP server

AIData.Broker Official

broker.aidata/market

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Published prices, market rates, buyers, deals and rulings for AI training data, and valuations.

Website

At a glance

Type

MCP server

Publisher

aidata.broker (verified by the MCP Registry)

Status

Working at last check

Tools

10

Token cost

About 3,182 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http market https://aidata.broker/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.market]
url = "https://aidata.broker/mcp"

Gemini CLI

{"mcpServers":{"market":{"httpUrl":"https://aidata.broker/mcp"}}}

Cursor

{"mcpServers":{"market":{"url":"https://aidata.broker/mcp"}}}

VS Code

{"servers":{"market":{"type":"http","url":"https://aidata.broker/mcp"}}}

Antigravity

agy mcp add market https://aidata.broker/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"market","server_url":"https://aidata.broker/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"market","server_url":"https://aidata.broker/mcp"}

Tools

• check_software_terms ~200 tokens
  For a business system (Slack, Microsoft 365, Google Workspace, Salesforce, HubSpot, Zendesk, Zoom, GitHub, Notion and more): whether the holder can export its data, what the vendor's API terms say about training AI on data pulled through them, our reading of the content's rights risk, and the clause
• find_buyers ~327 tokens
  Organisations with a public way to sell them data, with their own published terms: what they want, what they pay, when they pay, who removes personal data, eligibility, and what they pay an introducer. Largest published figure first.
• find_lots ~570 tokens
  Every lot publicly on offer in the catalogues the lot index reads each day (companies' records, codebases, footage, speech, environments), in one vocabulary: kind, industry, years of history, systems, size, what its catalogue says about the rights and whether it is ready, each linked to its catalogu
• find_vendors ~372 tokens
  Vendors that sell training data, RL environments, evaluations, expert work or annotation to AI developers, each with what it says it sells and where its data comes from in its own words, and whether it says it pays holders for data. A to Z, not ranked.
• get_market_rates ~350 tokens
  Median, middle half and range per comparable unit (per hour of video or audio, per image, per task, per company, per title, and more) for each kind of AI training data and each side of the market, computed from published prices. Without `kind`, returns every rate the evidence supports a median for.
• list_datasets ~111 tokens
  Every table behind these tools as a CSV and JSON download (our compilation of the tables under CC BY 4.0; quotes keep their sources' terms, and article text is not covered), with row counts, review dates and the permanent copies with their DOIs.
• search_cases ~227 tokens
  Lawsuits, rulings, settlements and regulatory actions over data used to train AI, with parties, claim, amounts, outcome, status and the source. Newest first.
• search_deals ~263 tokens
  Licences of data to AI companies disclosed since July 2023: licensor, licensee, content, use (training or display), term, value where disclosed, with a verbatim quote and the source. Newest first.
• search_prices ~424 tokens
  The individual price observations behind the market rates: what a lab, vendor, marketplace or court said data was paid, offered, listed or sold for, with the figure as published, the figure per unit, the date, the source's own words and a link. Newest first.
• value_data ~338 tokens
  What published prices imply for a holding of data: a low-to-high range in US dollars with the arithmetic behind it. Call it first with only `kind` to get the questions and their answer ids, ask the holder, then call again with `answers`. Questions not answered are taken at their defaults and marked

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