broker.aidata/market

Est-ce que broker.aidata/market est sûr ?

Au dernier audit MCP Hub, le serveur MCP « broker.aidata/market » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 10 outils

• check_software_terms≈ 231 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 clauses word for word. Research from public sources, not legal advice. Without `system`, lists the systems on file.

  Paramètres, retour & exemple (1)

  Paramètres

  • system · string · optionnel
    The system's name, such as "Slack" or "Zendesk".

  Exemple d'appel

  {"name": "check_software_terms", "arguments": {"system": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• find_buyers≈ 347 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.

  Paramètres, retour & exemple (3)

  Paramètres

  • kind · string · optionnel · company-records | source-code | video | audio-speech | images | text-archives | datasets-environments | physical-world
    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), datasets-environments (Datasets, tasks and environments), physical-world (Physical-world data), expert-work (Expert and human work).
  • limit · integer · optionnel
    How many rows to return (default 10, at most 50).
  • query · string · optionnel
    Words that must all appear in the buyer's name or terms.

  Exemple d'appel

  {"name": "find_buyers", "arguments": {"kind": "company-records", "limit": 1, "query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• find_lots≈ 565 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 catalogue's own page. We have not checked any catalogue's claims. No holder is named. Longest history first.

  Paramètres, retour & exemple (5)

  Paramètres

  • kind · string · optionnel · company-records | source-code | video | audio-speech | images | text-archives | datasets-environments | physical-world
    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), datasets-environments (Datasets, tasks and environments), physical-world (Physical-world data), expert-work (Expert and human work).
  • limit · integer · optionnel
    How many rows to return (default 10, at most 50).
  • query · string · optionnel
    Words that must all appear in the lot's title, line of business or systems.
  • rights · string · optionnel · settled | open
    "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.
  • industry · string · optionnel · Software and technology | Finance and insurance | Legal | Professional services | Healthcare | Manufacturing | Energy and utilities | Logistics and supply chain
    The holder's industry, as this site names industries.

  Exemple d'appel

  {"name": "find_lots", "arguments": {"kind": "company-records", "limit": 1, "query": "texte", "rights": "settled", "industry": "Software and technology"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• find_vendors≈ 388 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.

  Paramètres, retour & exemple (5)

  Paramètres

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

  Exemple d'appel

  {"name": "find_vendors", "arguments": {"buys": true, "from": "licensed", "limit": 1, "query": "texte", "sells": "rl-environments"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_market_rates≈ 352 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.

  Paramètres, retour & exemple (2)

  Paramètres

  • kind · string · optionnel · company | code | video | audio | images | text | environment | physical
    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 environments), physical (Physical-world data), people (Work by people).
  • side · string · optionnel · pay | offer | licence | listing | collection | cost
    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 to produce).

  Exemple d'appel

  {"name": "get_market_rates", "arguments": {"kind": "company", "side": "pay"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• list_datasets≈ 142 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.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "list_datasets", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• search_cases≈ 260 tokens

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

  Paramètres, retour & exemple (3)

  Paramètres

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

  Exemple d'appel

  {"name": "search_cases", "arguments": {"kind": "guidance", "limit": 1, "query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• search_deals≈ 289 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.

  Paramètres, retour & exemple (4)

  Paramètres

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

  Exemple d'appel

  {"name": "search_deals", "arguments": {"use": "training", "limit": 1, "query": "texte", "since": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• search_prices≈ 423 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.

  Paramètres, retour & exemple (4)

  Paramètres

  • kind · string · optionnel · company | code | video | audio | images | text | environment | physical
    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 environments), physical (Physical-world data), people (Work by people).
  • side · string · optionnel · pay | offer | licence | listing | collection | cost
    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 to produce).
  • limit · integer · optionnel
    How many rows to return (default 50, at most 50).
  • query · string · optionnel
    Words that must all appear, such as a company ("Shutterstock"), a language ("hindi") or a kind of record ("egocentric").

  Exemple d'appel

  {"name": "search_prices", "arguments": {"kind": "company", "side": "pay", "limit": 1, "query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• value_data≈ 354 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 as assumed. An indication, not an offer.

  Paramètres, retour & exemple (2)

  Paramètres

  • kind · string · requis · records | code | tasks | video | speech | images | text | environments
    What is being valued: records (Company records), code (Codebases), tasks (Training tasks), video (Video and footage), speech (Audio and speech), images (Images), text (Text and archives), environments (Simulated environments), robotics (Robot and physical-world data).
  • answers · object · optionnel
    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.

  Exemple d'appel

  {"name": "value_data", "arguments": {"kind": "records"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://aidata.broker/mcp