Nanonets · Agentic Access

Nanonets Agentic Access

x-agentic-access generated

Nanonets exposes 20 API operations that an AI agent could call, of which 16 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: 4 read and 16 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.

AIArtificial IntelligenceOCRDocument AIIntelligent Document ProcessingData ExtractionWorkflow AutomationComputer VisionNo-Code

Operations: 20 Acting: 16 Human-in-the-loop: 0 Method: generated

By consequence

read 4 write 16

Source

Agentic Access

generated: '2026-07-15'
method: generated
source: openapi/nanonets-external-integrations-api-openapi.yml, openapi/nanonets-file-management-api-openapi.yml,
  openapi/nanonets-image-classification-api-openapi.yml, openapi/nanonets-ocr-api-openapi.yml
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: 20
  by_action_class:
    connected: 4
    acting: 16
  by_consequence:
    read: 4
    write: 16
  human_in_the_loop_required: 0
operations:
- path: /api/v2/externalIntegrations
  method: get
  operationId: getExternalIntegrations
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /api/v2/externalIntegrations/{external_integration_id}/executequery
  method: post
  operationId: executeQuery
  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: /api/v2/ImageLevelInferences/Model/{model_id}/Verify/{request_file_id}
  method: post
  operationId: verifyFile
  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: /api/v2/ImageLevelInferences/Model/{model_id}/UnVerify/{request_file_id}
  method: post
  operationId: unverifyFile
  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: /api/v2/team/members/model/{model_id}/assign/files
  method: post
  operationId: assignFiles
  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: /api/v2/Inferences/Model/{model_id}/ImageLevelInference
  method: patch
  operationId: updateFileFields
  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: /api/v2/Inferences/Model/{model_id}/InferenceRequestFiles/{file_id}
  method: delete
  operationId: deleteFile
  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: /api/v2/Inferences/Model/{model_id}/ImageLevelInferences/retryallexports
  method: post
  operationId: retryAllExports
  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: /ImageCategorization/LabelFile/
  method: post
  operationId: imageCategorizationLabelFilePost
  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: /ImageCategorization/LabelUrls/
  method: post
  operationId: imageCategorizationLabelUrlsPost
  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: /OCR/Model/{model_id}/LabelFile/
  method: post
  operationId: ocrModelLabelFileByModelIdPost
  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: /OCR/Model/{model_id}/LabelFile/Async/
  method: post
  operationId: ocrModelLabelFileAsyncByModelIdPost
  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: /OCR/Model/{model_id}/LabelUrls/
  method: post
  operationId: ocrModelLabelUrlsByModelIdPost
  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: /OCR/Model/{model_id}/LabelUrls/Async/
  method: post
  operationId: ocrModelLabelUrlsAsyncByModelIdPost
  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: /Inferences/Model/{model_id}/InferenceRequest/{request_file_id}
  method: get
  operationId: ocrModelGetPredictionFileByFileId
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /Inferences/Model/{model_id}/InferenceRequest/{request_file_id}/page/{page_id}
  method: get
  operationId: ocrModelGetPredictionFileByPageId
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /Inferences/Model/{model_id}/InferenceRequest/
  method: get
  operationId: ocrModelListPredictionFiles
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /OCR/Model/{model_id}/UploadFile/
  method: post
  operationId: ocrModelUploadFileByModelIdPost
  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: /OCR/Model/{model_id}/UploadUrls/
  method: post
  operationId: ocrModelUploadUrlsByModelIdPost
  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: /OCR/Model/{model_id}/Train/
  method: post
  operationId: ocrModelTrainByModelIdPost
  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