Databook · Agentic Access

Databook Agentic Access

x-agentic-access generated

Databook exposes 8 API operations that an AI agent could call, of which 3 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: 5 read and 3 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.

CompanyVertical SoftwareSales IntelligenceAccount IntelligenceSales EnablementEnterprise SalesArtificial IntelligenceRevenue OperationsREST APIOpenAPIBatch ProcessingAgentsReasoningCompany Data
Operations: 8 Acting: 3 Human-in-the-loop: 0 Method: generated

By consequence

read 5 write 3

Source

Agentic Access

Raw ↑ 
generated: '2026-08-13'
method: generated
source: openapi/databook-openapi-original.json
description: Recommended x-agentic-access execution contracts, classified heuristically from
  the OpenAPI. A governance starting point for exposing this API to AI agents — review and bind
  audience per deployment. See research/curity/agentic-governance/.
summary:
  operations: 8
  by_action_class:
    acting: 3
    connected: 5
  by_consequence:
    write: 3
    read: 5
  human_in_the_loop_required: 0
operations:
- path: /v1/batch/job
  method: post
  operationId: create_job_v1_batch_job_post
  x-agentic-access:
    action-class: acting
    consequence: write
    subject: required
    audience: null
    token:
      max-ttl: 900
    escalation:
      human-in-the-loop: conditional
      triggers:
      - abnormal
      - high-value
    audit: required
- path: /v1/batch/job
  method: get
  operationId: list_job_v1_batch_job_get
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/batch/job/input-csv-template
  method: get
  operationId: get_job_input_csv_template_v1_batch_job_input_csv_template_get
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/batch/job/{job_id}
  method: get
  operationId: get_job_by_id_v1_batch_job__job_id__get
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/batch/job/{job_id}/result
  method: get
  operationId: get_job_result_by_id_v1_batch_job__job_id__result_get
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/chat
  method: post
  operationId: chat_v1_chat_post
  x-agentic-access:
    action-class: acting
    consequence: write
    subject: required
    audience: null
    token:
      max-ttl: 900
    escalation:
      human-in-the-loop: conditional
      triggers:
      - abnormal
      - high-value
    audit: required
- path: /v1/insights
  method: get
  operationId: list_insights_v1_insights_get
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/reasoning
  method: post
  operationId: run_reasoning_v1_reasoning_post
  x-agentic-access:
    action-class: acting
    consequence: write
    subject: required
    audience: null
    token:
      max-ttl: 900
    escalation:
      human-in-the-loop: conditional
      triggers:
      - abnormal
      - high-value
    audit: required