# AIData.Broker (remote · aidata.broker)

Sells companies' data to AI labs for them: prices, buyers, deals, rulings and a free valuation.

- Trust score: 82/100 (high trust)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-11-05

## Components

- remote · `aidata.broker`: 82/100 (this document), [markdown](https://verifymcp.io/servers/broker-aidata-market/aidata.md), [page](https://verifymcp.io/servers/broker-aidata-market/aidata)

## Channel facts

- Endpoint: `https://aidata.broker/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `2026.10.28`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-11-05.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Nothing on it is marked destructive, but we can't show that an anonymous caller can only read: full credit needs the server to list at least one tool and every tool to be verifiably read-only. We use a best-effort check of tool names and descriptions to tell read-only tools from tools that change things, so some genuinely read-only tools may not get full credit. Names that start with a read verb (get, list, read, search and similar) and accurate readOnlyHint annotations help. Meet that to earn full credit, or require authorisation.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 63/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 2026 tokens (~202/item across 10 items; 10 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 73/100
  - Stability observed for 22 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 100/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 100% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### How do I install the AIData.Broker MCP server?

AIData.Broker is a hosted endpoint at https://aidata.broker/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

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

### Cursor

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

### VS Code

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

### Codex

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

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "broker-aidata-market": {
      "type": "remote",
      "url": "https://aidata.broker/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add broker-aidata-market --url 'https://aidata.broker/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  broker-aidata-market:
    url: "https://aidata.broker/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "broker-aidata-market": {
      "Transport": "http",
      "Url": "https://aidata.broker/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add broker-aidata-market -t streamable-http -u 'https://aidata.broker/mcp'
```

### Other

```json
{
  "mcpServers": {
    "broker-aidata-market": {
      "type": "http",
      "url": "https://aidata.broker/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-11-05 (score 82, +1)

No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-11-04 (score 81, 0)

- [security] The server rewrote its instructions, which are the text every model session reads

### 2026-11-03 (score 81, +1)

- [cosmetic] “value_data” reworded the description of “kind”

### 2026-11-01 (score 80, +1)

No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-30 (score 79, +1)

No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-29 (score 78, 0)

- [security] The server rewrote its instructions, which are the text every model session reads
- [functional] Server version: 2026.10.16 → 2026.10.28

### 2026-10-27 (score 78, +1)

No change was recorded against any check on this day. Stability & Change Management went from 40 to 43. That category is still filling its 30-day observation window: 12 days of observed history at the previous scan, 13 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-25 (score 77, +1)

No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

## MCP tools (10)

### `get_market_rates` (~199 tokens)

Market rates for AI training data

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.

Input parameters:

- `kind` (string): The kind of data: company (Company records), code (Source code), video (Video and footage), audio (Audio and speech), images (Images), text (Text and archives), environment (Datasets, tasks and envir…
- `side` (string): The side of the market: pay (Paid to the people who make it), offer (Offered to holders), licence (Sales that happened), listing (Asking prices off the shelf), collection (Made to order), cost (Cost…

### `search_prices` (~247 tokens)

Search published AI training data prices

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.

Input parameters:

- `kind` (string): The kind of data: company (Company records), code (Source code), video (Video and footage), audio (Audio and speech), images (Images), text (Text and archives), environment (Datasets, tasks and envir…
- `limit` (integer): How many rows to return (default 50, at most 50).
- `query` (string): Words that must all appear, such as a company ("Shutterstock"), a language ("hindi") or a kind of record ("egocentric").
- `side` (string): The side of the market: pay (Paid to the people who make it), offer (Offered to holders), licence (Sales that happened), listing (Asking prices off the shelf), collection (Made to order), cost (Cost…

### `value_data` (~194 tokens)

Value a holding of data from public prices

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 as assumed. An indication, not an offer.

Input parameters:

- `answers` (object): Answer ids by question id, as returned in `questions` (for video, for example {"hours": "1000-10000"}); every answer is one of the listed answer ids, sent as text.
- `kind` (string, required): What is being valued: records (Company records), code (Codebases), video (Video and footage), speech (Audio and speech), images (Images), text (Text and archives), robotics (Robot and physical-world…

### `find_buyers` (~173 tokens)

Find buyers of a kind of AI training data

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.

Input parameters:

- `kind` (string): The kind of data: company-records (Company records), source-code (Source code), video (Video and footage), audio-speech (Audio and speech), images (Images), text-archives (Text and archives), dataset…
- `limit` (integer): How many rows to return (default 10, at most 50).
- `query` (string): Words that must all appear in the buyer's name or terms.

### `find_vendors` (~195 tokens)

Find companies that sell AI training data

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.

Input parameters:

- `buys` (boolean): Only vendors that say they buy, license or pay for data from its holders.
- `from` (string): Where it says its data comes from: licensed, customer, experts, captured, synthetic, replica, public ("licensed" means licensed from the companies or creators that hold it).
- `limit` (integer): How many rows to return (default 10, at most 50).
- `query` (string): Words that must all appear in the vendor's name or what it sells.
- `sells` (string): What the vendor sells: rl-environments, datasets, human-data, evals, annotation, simulation.

### `find_lots` (~278 tokens)

Find data on offer across brokers' catalogues

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 catalogue's own page. We have not checked any catalogue's claims. No holder is named. Longest history first.

Input parameters:

- `industry` (string): The holder's industry, as this site names industries.
- `kind` (string): The kind of data: company-records (Company records), source-code (Source code), video (Video and footage), audio-speech (Audio and speech), images (Images), text-archives (Text and archives), dataset…
- `limit` (integer): How many rows to return (default 10, at most 50).
- `query` (string): Words that must all appear in the lot's title, line of business or systems.
- `rights` (string): "settled": the lot's own catalogue says its holder has the rights with nothing left to confirm; "open": the catalogue names conditions or consent still to confirm. We have not checked either.

### `search_deals` (~146 tokens)

Search disclosed AI data licensing deals

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.

Input parameters:

- `limit` (integer): How many rows to return (default 10, at most 50).
- `query` (string): Words that must all appear, such as a licensor, a licensee ("OpenAI") or a kind of content ("news").
- `since` (string): Only deals on or after this date (YYYY, YYYY-MM or YYYY-MM-DD).
- `use` (string): What the data is used for.

### `search_cases` (~116 tokens)

Search lawsuits and rulings over AI training data

Lawsuits, rulings, settlements and regulatory actions over data used to train AI, with parties, claim, amounts, outcome, status and the source. Newest first.

Input parameters:

- `kind` (string): The kind of case: guidance, lawsuit, regulatory action, ruling, settlement.
- `limit` (integer): How many rows to return (default 10, at most 50).
- `query` (string): Words that must all appear, such as a party ("Anthropic"), a court or a kind of content ("books").

### `check_software_terms` (~122 tokens)

What a business system's terms allow for AI training data

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 clauses word for word. Research from public sources, not legal advice. Without `system`, lists the systems on file.

Input parameters:

- `system` (string): The system's name, such as "Slack" or "Zendesk".

### `list_datasets` (~63 tokens)

List the open datasets

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.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/broker-aidata-market/aidata#diagnostics

## Score history

- 2026-11-05: 82
- 2026-11-04: 81
- 2026-11-03: 81
- 2026-11-02: 80
- 2026-11-01: 80
- 2026-10-31: 79
- 2026-10-30: 79
- 2026-10-29: 78
- 2026-10-28: 78
- 2026-10-27: 78
- 2026-10-26: 77
- 2026-10-25: 77
- 2026-10-24: 76
- 2026-10-23: 76
- 2026-10-22: 75
- 2026-10-21: 75
- 2026-10-20: 74
- 2026-10-19: 74
- 2026-10-18: 73
- 2026-10-17: 73
- 2026-10-16: 73
- 2026-10-15: 72
- 2026-10-14: 72

## Common questions

### What is the AIData.Broker MCP server?

AIData.Broker is an MCP server listed in the public MCP registry as broker.aidata/market. Sells companies' data to AI labs for them: prices, buyers, deals, rulings and a free valuation. This page covers its hosted endpoint (https://aidata.broker/mcp).

### Is the AIData.Broker MCP server safe to use?

AIData.Broker scores 82 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the AIData.Broker MCP server expose?

AIData.Broker exposes 10 tools: get_market_rates, search_prices, value_data, find_buyers, find_vendors, and 5 more. Their descriptions and schemas cost roughly 1,733 tokens of context every time the server is loaded.

### Does the AIData.Broker MCP server require authentication?

No. We connected to AIData.Broker without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the AIData.Broker MCP server still maintained?

AIData.Broker is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

### What did VerifyMCP test on the AIData.Broker MCP server?

VerifyMCP ran 13 checks on AIData.Broker, covering TLS certificate, Authorization, HTTPS, HSTS header and 9 more. Supply Chain Security and Provenance & Transparency do not apply to a hosted endpoint, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.

## Links

- Remote endpoint: https://aidata.broker/mcp
- Website: https://aidata.broker/mcp-server
- Changelog RSS feed: https://verifymcp.io/servers/broker-aidata-market/aidata.xml
- Changelog JSON feed: https://verifymcp.io/servers/broker-aidata-market/aidata/changelog.json
- Trust report (JSON): https://verifymcp.io/servers/broker-aidata-market/aidata.json
- HTML version of this page: https://verifymcp.io/servers/broker-aidata-market/aidata