VivaLNK · Agentic Access

VivaLNK Agentic Access

x-agentic-access generated

VivaLNK exposes 16 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: 8 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.

Connected HealthRemote Patient MonitoringRPMWearablesBiosensorsBiometricsECGVital SignsDigital HealthIoTClinical Trials

Operations: 16 Acting: 8 Human-in-the-loop: 0 Method: generated

By consequence

read 8 write 8

Source

Agentic Access

generated: '2026-07-15'
method: generated
source: openapi/vivalink-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: 16
  by_action_class:
    connected: 8
    acting: 8
  by_consequence:
    read: 8
    write: 8
  human_in_the_loop_required: 0
operations:
- path: /v1/subjects
  method: get
  operationId: listSubjects
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/subjects
  method: post
  operationId: createSubject
  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/subjects/{subjectId}
  method: get
  operationId: getSubject
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/subjects/{subjectId}
  method: patch
  operationId: updateSubject
  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/subjects/{subjectId}
  method: delete
  operationId: deactivateSubject
  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/devices
  method: get
  operationId: listDevices
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/devices/{deviceId}
  method: get
  operationId: getDevice
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/devices/{deviceId}/assignment
  method: put
  operationId: assignDevice
  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/devices/{deviceId}/assignment
  method: delete
  operationId: unassignDevice
  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/subjects/{subjectId}/measurements
  method: get
  operationId: listMeasurements
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/subjects/{subjectId}/exports
  method: post
  operationId: createExport
  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
  method: get
  operationId: listWebhooks
  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/{webhookId}
  method: get
  operationId: getWebhook
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v1/webhooks/{webhookId}
  method: delete
  operationId: deleteWebhook
  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: /fhir/Observation
  method: get
  operationId: searchFhirObservations
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none