Tako · Agentic Access

Tako Agentic Access

x-agentic-access generated

Tako exposes 13 API operations that an AI agent could call, of which 6 are state-changing ‘acting’ operations. This is a recommended x-agentic-access execution contract — the scope, audience, consequence tier, short-lived token constraints, and escalation each action should carry before it is handed to an autonomous agent.

By consequence: 7 read and 6 write.

Contracts are classified heuristically from the provider’s OpenAPI and refresh on every APIs.io network build; audience is bound per deployment. The model follows Curity’s Access Intelligence (apidays Munich 2026). Browse every provider’s agent contracts at agentic-access.apis.io.

CompanyArtificial IntelligenceDataSearchAnswer EngineFinancial DataKnowledge GraphAgentsMCPData Visualization
Operations: 13 Acting: 6 Human-in-the-loop: 0 Method: generated

By consequence

read 7 write 6

Source

Agentic Access

Raw ↑
generated: '2026-07-21'
method: generated
source: openapi/tako-openapi-original.yml
audience: null
note: >-
  Recommended x-agentic-access execution contracts, classified per operation from
  the Tako OpenAPI (Curity Access Intelligence model). GET/HEAD → connected/read;
  write-method POSTs → acting/write. No operation is payment/transfer/safety-critical
  at the API-operation level (Tako's machine-payments surface is billing metadata,
  not a transfer endpoint). A governance starting point, not an authoritative
  provider claim.
summary:
  operations: 13
  by_action_class:
    connected: 7
    acting: 6
  by_consequence:
    read: 7
    write: 6
  human_in_the_loop: 0
  audit_required: 6
operations:
  - operationId: graphSearch
    method: GET
    path: /beta/graph/search
    action_class: connected
    consequence: read
    token: {ttl_seconds: 3600}
  - operationId: graphRelated
    method: GET
    path: /beta/graph/related
    action_class: connected
    consequence: read
    token: {ttl_seconds: 3600}
  - operationId: graphNode
    method: GET
    path: /beta/graph/node/{id}
    action_class: connected
    consequence: read
    token: {ttl_seconds: 3600}
  - operationId: listAnswerAgentRuns
    method: GET
    path: /v1/agent/answer/runs
    action_class: connected
    consequence: read
    token: {ttl_seconds: 3600}
  - operationId: getAnswerAgentRun
    method: GET
    path: /v1/agent/answer/runs/{run_id}
    action_class: connected
    consequence: read
    token: {ttl_seconds: 3600}
  - operationId: listRetrievalAgentRuns
    method: GET
    path: /v1/agent/retrieval/runs
    action_class: connected
    consequence: read
    token: {ttl_seconds: 3600}
  - operationId: getRetrievalAgentRun
    method: GET
    path: /v1/agent/retrieval/runs/{run_id}
    action_class: connected
    consequence: read
    token: {ttl_seconds: 3600}
  - operationId: search
    method: POST
    path: /v3/search
    action_class: acting
    consequence: write
    token: {ttl_seconds: 900}
    audit: required
  - operationId: answer
    method: POST
    path: /v1/answer
    action_class: acting
    consequence: write
    token: {ttl_seconds: 900}
    audit: required
  - operationId: contents
    method: POST
    path: /v1/contents
    action_class: acting
    consequence: write
    token: {ttl_seconds: 900}
    audit: required
    note: Meters/bills a card CSV export beyond the free row allowance.
  - operationId: createCard
    method: POST
    path: /v1/thin_viz/create/
    action_class: acting
    consequence: write
    token: {ttl_seconds: 900}
    audit: required
  - operationId: createAnswerAgentRun
    method: POST
    path: /v1/agent/answer/runs
    action_class: acting
    consequence: write
    token: {ttl_seconds: 900}
    audit: required
    note: PAYMENT_REQUIRED (402) pre-dispatch credit gate.
  - operationId: createRetrievalAgentRun
    method: POST
    path: /v1/agent/retrieval/runs
    action_class: acting
    consequence: write
    token: {ttl_seconds: 900}
    audit: required
    note: PAYMENT_REQUIRED (402) pre-dispatch credit gate.

Work with this as data

Every access contract here is available over the APIs.io API and to AI agents over MCP. Agentic Access is not yet its own endpoint on the v1 API. Reach it through catalog search and the tag graph, or the MCP server.

MCP server

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https://apis.io/mcp

Tools for agentic access

3 MCP tools reach this
  • apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
  • resolveTurn a domain, URL or GitHub org into the provider it belongs to.
  • find_cohortsEvery scored population of providers in the catalog.
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