Climate Engine · Agentic Access

Climate Engine Agentic Access

x-agentic-access generated

Climate Engine exposes 23 API operations that an AI agent could call, of which 13 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 13 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.

ClimateGeospatialRemote SensingSatelliteEarth Observation
Operations: 23 Acting: 13 Human-in-the-loop: 0 Method: generated

By consequence

read 10 write 13

Source

Agentic Access

Raw ↑ 
generated: '2026-07-15'
method: generated
source: openapi/climate-engine-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: 23
  by_action_class:
    connected: 10
    acting: 13
  by_consequence:
    read: 10
    write: 13
  human_in_the_loop_required: 0
operations:
- path: /home/validate_key
  method: get
  operationId: validateKey
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /home/key_expiration
  method: get
  operationId: keyExpiration
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /home/user/quotas
  method: get
  operationId: userQuotas
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /metadata/dataset_dates
  method: get
  operationId: metadataDatasetDates
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /metadata/dataset_variables
  method: get
  operationId: metadataDatasetVariables
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /metadata/county_names
  method: get
  operationId: metadataCountyNames
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /timeseries/native/coordinates
  method: post
  operationId: timeseriesNativeCoordinates
  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: /timeseries/native/feature_collection
  method: post
  operationId: timeseriesNativeFeatureCollection
  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: /timeseries/native/forecasts/coordinates
  method: post
  operationId: timeseriesNativeForecastCoordinates
  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: /timeseries/interannual/coordinates
  method: post
  operationId: timeseriesInterannualCoordinates
  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: /timeseries/regression/coordinates
  method: post
  operationId: timeseriesRegressionCoordinates
  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: /timeseries/standard_index/coordinates
  method: post
  operationId: timeseriesStandardIndexCoordinates
  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: /zonal_stats/static_dataset/coordinates
  method: post
  operationId: zonalStatsStaticDatasetCoordinates
  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: /zonal_stats/pixel_count/coordinates
  method: post
  operationId: zonalStatsPixelCountCoordinates
  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: /zonal_stats/group_by/feature_collection
  method: post
  operationId: zonalStatsGroupByFeatureCollection
  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: /zonal_stats/temporal_dataset/coordinates
  method: get
  operationId: zonalStatsTemporalDatasetCoordinates
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /raster/mapid/values
  method: get
  operationId: rasterMapidValues
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /raster/export/values
  method: post
  operationId: rasterExportValues
  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: /raster/export/task_update
  method: get
  operationId: rasterExportTaskUpdate
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /raster/export/task_queue
  method: get
  operationId: rasterExportTaskQueue
  x-agentic-access:
    action-class: connected
    consequence: read
    subject: optional
    token:
      max-ttl: 3600
    audit: none
- path: /reports/drought/coordinates
  method: post
  operationId: reportsDroughtCoordinates
  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: /reports/vegetation_production/coordinates
  method: post
  operationId: reportsVegetationProductionCoordinates
  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: /reports/site_characterization/coordinates
  method: post
  operationId: reportsSiteCharacterizationCoordinates
  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