Eden AI · Agentic Access

Eden AI Agentic Access

x-agentic-access generated

Eden AI exposes 9 API operations that an AI agent could call, of which 8 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: 1 read and 8 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.

Artificial IntelligenceEmotionEmotion Detection
Operations: 9 Acting: 8 Human-in-the-loop: 0 Method: generated

By consequence

read 1 write 8

Source

Agentic Access

Raw ↑
generated: '2026-07-15'
method: generated
source: openapi/eden-ai-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: 9
  by_action_class:
    acting: 8
    connected: 1
  by_consequence:
    write: 8
    read: 1
  human_in_the_loop_required: 0
operations:
- path: /text/sentiment_analysis
  method: post
  operationId: textSentimentAnalysis
  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: /text/keyword_extraction
  method: post
  operationId: textKeywordExtraction
  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: /text/named_entity_recognition
  method: post
  operationId: textNamedEntityRecognition
  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: /text/emotion_detection
  method: post
  operationId: textEmotionDetection
  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: /translation/automatic_translation
  method: post
  operationId: automaticTranslation
  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: /image/object_detection
  method: post
  operationId: imageObjectDetection
  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/ocr
  method: post
  operationId: ocr
  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: /audio/speech_to_text_async
  method: post
  operationId: audioSpeechToTextAsyncCreate
  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: /audio/speech_to_text_async/{public_id}
  method: get
  operationId: audioSpeechToTextAsyncGet
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none