Ethena · Agentic Access

Ethena Agentic Access

x-agentic-access generated

Ethena exposes 17 API operations that an AI agent could call, of which 7 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: 10 read and 7 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.

CompanyComplianceTrainingGovernance, Risk and ComplianceHuman ResourcesLearning ManagementWorkflowWebhooks

Operations: 17 Acting: 7 Human-in-the-loop: 0 Method: generated

By consequence

read 10 write 7

Source

Agentic Access

generated: '2026-07-19'
method: generated
source: openapi/ethena-openapi-original.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: 17
  by_action_class:
    connected: 10
    acting: 7
  by_consequence:
    read: 10
    write: 7
  human_in_the_loop_required: 0
operations:
- path: /v1/learners
  method: get
  operationId: getLearners
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/learners
  method: post
  operationId: createLearner
  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/learners/{id}
  method: get
  operationId: getLearnerById
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/learners/{id}
  method: patch
  operationId: patchLearnerById
  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/learners/{id}
  method: delete
  operationId: deleteLearnerById
  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/learner-training-campaigns
  method: get
  operationId: getLearnerTrainingCampaigns
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/learner-training-campaigns/{id}
  method: get
  operationId: getLearnerTrainingCampaignById
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/learner-training-modules
  method: get
  operationId: getLearnerTrainingModules
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/learner-training-modules/{id}
  method: get
  operationId: getLearnerTrainingModuleById
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/training-campaigns
  method: get
  operationId: getTrainingCampaigns
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/training-campaigns/{id}
  method: get
  operationId: getTrainingCampaignById
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/webhooks
  method: get
  operationId: getWebhooks
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/webhooks
  method: post
  operationId: createWebhook
  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/webhooks/{id}
  method: get
  operationId: getWebhookById
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/webhooks/{id}
  method: patch
  operationId: patchWebhookById
  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/webhooks/{id}
  method: delete
  operationId: deleteWebhookById
  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/webhooks/{id}/trigger
  method: post
  operationId: triggerWebhookById
  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