Nixtla · Agentic Access

Nixtla Agentic Access

x-agentic-access generated

Nixtla exposes 10 API operations that an AI agent could call, of which 6 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 6 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.

CompanyTime SeriesForecastingAnomaly DetectionMachine LearningArtificial IntelligenceFoundation ModelPredictive AnalyticsData Science

Operations: 10 Acting: 6 Human-in-the-loop: 0 Method: generated

By consequence

read 4 write 6

Source

Agentic Access

generated: '2026-07-20'
method: generated
source: openapi/nixtla-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: 10
  by_action_class:
    acting: 6
    connected: 4
  by_consequence:
    write: 6
    read: 4
  human_in_the_loop_required: 0
operations:
- path: /v2/forecast
  method: post
  operationId: v2_forecast_v2_forecast_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: /v2/anomaly_detection
  method: post
  operationId: v2_anomaly_detection_v2_anomaly_detection_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: /v2/online_anomaly_detection
  method: post
  operationId: v2_online_anomaly_detection_v2_online_anomaly_detection_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: /model_params
  method: get
  operationId: get_model_params_model_params_get
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v2/cross_validation
  method: post
  operationId: v2_cross_validation_v2_cross_validation_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: /v2/finetune
  method: post
  operationId: v2_finetune_v2_finetune_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: /v2/finetuned_models
  method: get
  operationId: v2_finetuned_models_v2_finetuned_models_get
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v2/finetuned_models/{finetuned_model_id}
  method: get
  operationId: v2_finetuned_model_v2_finetuned_models__finetuned_model_id__get
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /v2/finetuned_models/{finetuned_model_id}
  method: delete
  operationId: v2_finetuned_models_delete_v2_finetuned_models__finetuned_model_id__delete
  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: /validate_api_key
  method: get
  operationId: validate_api_key_validate_api_key_get
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none