How AI is applied across API Evangelist and APIs.io. Read my AI disclosure →
API Evangelist API Evangelist
Discovery
Learnings
Guidance
Toolbox
Alignment
API Evangelist LLC

Altimate AI Databricks Clusters API

The Databricks Clusters API from Altimate AI — 15 operation(s) for databricks clusters.

Altimate AI Databricks Clusters API is one of 123 APIs that Altimate AI publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include Databricks Clusters. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and an API reference.

This API exposes 15 operations across 15 paths, and defines 28 schemas. It is described by OpenAPI 3.2.0, at version 0.1.0.

Requests are made against a single base URL, https://api.myaltimate.com.

15 operations 15 paths 28 schemas 14 GET1 PATCH

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
0.1.0
Base URL
https://api.myaltimate.com
Authentication
HTTP Bearer
Resource Areas
1

Authentication & Security 1

Altimate AI Databricks Clusters API declares 1 security scheme for authenticating requests. It accepts HTTP bearer tokens (HTTPBearer).

Paths & Operations 15

Across 15 paths, the API surfaces 15 operations — 14 GET, 1 PATCH. Each is listed below with its method, path, parameters, and response codes.

Databricks Clusters 15
GET
/api/v1/databricks/clusters/filters
Get filter options for clusters
get_cluster_filters_api_v1_databricks_clusters_filters_get 7 params → 200422
GET
/api/v1/databricks/clusters/filters/cluster_names
Get paginated distinct cluster names for filtering
get_cluster_name_filters_api_v1_databricks_clusters_filters_cluster_names_get 9 params → 200422
GET
/api/v1/databricks/clusters/filters/workspaces
Get paginated distinct cluster workspaces for filtering
get_cluster_workspace_filters_api_v1_databricks_clusters_filters_workspaces_get 9 params → 200422
GET
/api/v1/databricks/clusters
Get all Databricks clusters
get_clusters_api_v1_databricks_clusters_get 13 params → 200403404422
GET
/api/v1/databricks/clusters/oversized
Get oversized clusters
get_oversized_clusters_api_v1_databricks_clusters_oversized_get 6 params → 200403404422
GET
/api/v1/databricks/clusters/cost-trends
Get cluster cost trends by compute type
get_clusters_cost_trends_api_v1_databricks_clusters_cost_trends_get 6 params → 200403404422
GET
/api/v1/databricks/clusters/{cluster_id}
Get cluster details
get_cluster_detail_api_v1_databricks_clusters__cluster_id__get 3 params → 200403404422
GET
/api/v1/databricks/clusters/{cluster_id}/utilization
Get cluster utilization metrics
get_cluster_utilization_api_v1_databricks_clusters__cluster_id__utilization_get 6 params → 200403404422
GET
/api/v1/databricks/clusters/{cluster_id}/state-history
Get cluster state history
get_cluster_state_history_api_v1_databricks_clusters__cluster_id__state_history_get 5 params → 200403404422
GET
/api/v1/databricks/clusters/{cluster_id}/cost
Get cluster cost data
get_cluster_cost_api_v1_databricks_clusters__cluster_id__cost_get 6 params → 200403404422
GET
/api/v1/databricks/clusters/{cluster_id}/auto-tune/status
Page-level Auto Tune status for an all-purpose cluster
get_cluster_auto_tune_status_api_v1_databricks_clusters__cluster_id__auto_tune_status_get 5 params → 200403422
GET
/api/v1/databricks/clusters/{cluster_id}/auto-tune/recommendations
Active Auto Tune recommendations for an all-purpose cluster
get_cluster_auto_tune_recommendations_api_v1_databricks_clusters__cluster_id__auto_tune_recommendations_get 5 params → 200403422
PATCH
/api/v1/databricks/clusters/{cluster_id}/auto-tune/toggledeprecated
Toggle Auto Tune for an all-purpose cluster (master or sub-toggle)
toggle_cluster_auto_tune_api_v1_databricks_clusters__cluster_id__auto_tune_toggle_patch 5 params body → 200403422
GET
/api/v1/databricks/clusters/{cluster_id}/auto-tune/history
Paginated Auto Tune audit history for an all-purpose cluster
get_cluster_auto_tune_history_api_v1_databricks_clusters__cluster_id__auto_tune_history_get 9 params → 200403422
GET
/api/v1/databricks/clusters/{cluster_id}/auto-tune/savings-trends
Per-day Possible Savings for an all-purpose cluster
get_cluster_auto_tune_savings_trends_api_v1_databricks_clusters__cluster_id__auto_tune_savings_trends_get 8 params → 200403404422

Schemas 28

The contract defines 28 schemas that model the data the API accepts and returns. The most detailed are ClusterSummary (22 properties), ClusterAutoTuneRecommendationItem (19 properties), ClusterDetail (19 properties), AutoTuneHistoryEvent (18 properties). Each schema is shown below with its type and property counts.

PaginatedNamesResponse
object
Paginated list of distinct filter-option names.
4 properties
ClusterSummary
object
Summary information for a cluster.
22 properties 3 required
ClusterStateHistoryResponse
object
Response for cluster state history.
2 properties 2 required
ClustersResponse
object
Response for listing clusters.
5 properties 2 required
AutoTuneSavingsTrendPoint
object
One day's auto-tune savings, split into DBU and infra components.
3 properties 1 required
app__schemas__databricks__cluster__OversizedClustersResponse
object
Response for oversized clusters.
3 properties 3 required
ClusterUtilizationPoint
object
Single point in utilization timeseries.
4 properties 1 required
ToggleAutoTunePreflight
object
Surfaced to the FE so it can render an actionable error inline. When blocked=False the toggle pipeline ran. When blocked=True no DB writes happened and actiona…
3 properties
ClusterCostPoint
object
Single data point for cluster cost timeseries.
3 properties 1 required
AutoTuneHistoryEvent
object
One row in the Auto Tune history panel. Mirrors the shape the FE renders directly. eventmessage is pre-composed in the API layer via app.service.databricks.aut…
18 properties 3 required
HTTPValidationError
object
1 property
ClusterAutoTuneToggleRequest
object
Request body for PATCH /databricks/clusters/{id}/auto-tune/toggle. rectype=None is the master toggle — it flips BOTH sub-toggles (resize + autoterminate) to en…
2 properties 1 required
ClusterFilterOptions
object
Filter options for clusters.
5 properties
ClusterAutoTuneToggleResponse
object
Response for the cluster Auto Tune toggle endpoint. Returns the resolved master autotunemode so the FE can re-render the header pill without a second round-tri…
5 properties
ClusterUtilizationResponse
object
Response for cluster utilization metrics.
3 properties 2 required
ClusterUtilization
object
Utilization metrics for a cluster.
7 properties
OversizedCluster
object
Information about an oversized cluster.
10 properties 6 required
ClusterCostTrendItem
object
Single data point for cluster cost trends by compute type.
4 properties 2 required
AutoTuneStatusResponse
object
Page-level status for the Auto Tune tab. Returned by GET /databricks/jobs/{jobid}/auto-tune/status. The FE uses this on JobDetail page mount to drive: - Master…
6 properties
ValidationError
object
3 properties 3 required
ClusterCostResponse
object
Response for cluster cost data.
6 properties 1 required
ClusterStateChange
object
A single state change record.
5 properties 4 required
AutoTuneSavingsTrendsResponse
object
Per-day auto-tune savings for a job, split into realized and potential. actual holds savings on runs where an applied recommendation was in effect; potential h…
3 properties 3 required
ClustersCostTrendsResponse
object
Response for all clusters cost trends (aggregated across all clusters).
5 properties 3 required
ClusterAutoTuneRecommendationItem
object
A single all-purpose-cluster recommendation from databricksautotunerecommendation (entitytype='allpurpose'). The FE renders one drawer toggle per rectype. enab…
19 properties 2 required
ClusterAutoTuneRecommendationsResponse
object
List response for cluster Auto Tune recommendations.
2 properties 1 required
ClusterDetail
object
Detailed information for a cluster.
19 properties 3 required
AutoTuneHistoryResponse
object
Paginated response wrapper for the Auto Tune history endpoint. Matches the existing Databricks response convention (totalcount / page / pagesize / totalpages)…
5 properties 1 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

altimate-ai-databricks-clusters-api-openapi.yml Raw ↑

Other APIs Altimate AI publishes across the network.

Altimate AI ACCOUNT_COSTS API
Altimate AI ade-bench API
Altimate AI AGENTS API
Altimate AI AI_PLAYGROUND API
Altimate AI AI_SERVICES API
Altimate AI AI_STUDIO API
Altimate AI ALERTS_V1 API
Altimate AI AUDIT_TRAIL API
Altimate AI AUTH API
Altimate AI Auth Health API
Altimate AI AZURE_DATABRICKS_CONNECTIONS API
Altimate AI Business Intelligence API
Where this information came from

This is an independent, third-party profile of Altimate AI Databricks Clusters API, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.

The Kin Score and Agent Readiness rating are independently calculated assessments of a company's public API artifacts, scored against a published rubric. They are not certifications, endorsements, security assessments, or audits.

Corrections, re-scores, and removal are free — no partnership or purchase required, and you do not need to justify the request. A removed company is recorded as unrated, never scored zero for having asked. Acknowledgement within one business day; removal within two.

info@apievangelist.com · Read the full data-sourcing policy →
On a security or compliance team? Put security in the subject line and you will get a person, not a form — we will tell you exactly which public URLs this profile was built from.