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

OpenMetadata ML Models API

`Machine Learning Models` are algorithms trained on data to find patterns or make predictions.

OpenMetadata ML Models API is one of 89 APIs that OpenMetadata publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

Tagged areas include ML Models. The published artifact set on APIs.io includes an OpenAPI specification, API documentation, and authentication docs.

This API exposes 18 operations across 12 paths, and defines 33 schemas. It is described by OpenAPI 3.0.1, at version 1.13.

Requests are made against 2 base URLs: /api, http://localhost:8585/api.

18 operations 12 paths 33 schemas 4 DELETE6 GET2 PATCH1 POST5 PUT

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.0.1
API Version
1.13
Base URL
https://{your-host}/api/v1
Authentication
HTTP Bearer
License
Resource Areas
1

Authentication & Security 1

OpenMetadata ML Models API declares 1 security scheme for authenticating requests. It accepts HTTP bearer tokens (JWT) (BearerAuth). By default, every request must be authenticated.

Paths & Operations 18

Across 12 paths, the API surfaces 18 operations — 4 DELETE, 6 GET, 2 PATCH, 1 POST, 5 PUT. Each is listed below with its method, path, parameters, and response codes.

ML Models 18

Machine Learning Models are algorithms trained on data to find patterns or make predictions.

PUT
/v1/mlmodels/{id}/followers
Add a follower
addFollower_8 1 param body → 200404
PUT
/v1/mlmodels/bulk
Bulk create or update ML models
bulkCreateOrUpdateMlModels 1 param body → 200202400
GET
/v1/mlmodels
List ML models
listMlModels 6 params → 200
PUT
/v1/mlmodels
Create or update an ML model
createOrUpdateMlModel body → 200400
POST
/v1/mlmodels
Create an ML model
createMlModel body → 200400
GET
/v1/mlmodels/{id}
Get an ML model by Id
getMlModelByID 4 params → 200404
DELETE
/v1/mlmodels/{id}
Delete an ML model by Id
deleteMlModel 2 params → 200404
PATCH
/v1/mlmodels/{id}
Update an ML model
patchMlModel_1 1 param body → default
GET
/v1/mlmodels/name/{fqn}
Get an ML model by fully qualified name
getMlModelByFQN 4 params → 200404
DELETE
/v1/mlmodels/name/{fqn}
Delete a ML model by fully qualified name
deleteMlModelByFQN 3 params → 200404
PATCH
/v1/mlmodels/name/{fqn}
Update an ML model by name.
patchMlModel 1 param body → default
DELETE
/v1/mlmodels/async/{id}
Asynchronously delete an ML model by Id
deleteMlModelAsync 2 params → 200404
DELETE
/v1/mlmodels/{id}/followers/{userId}
Remove a follower
deleteFollower_11 2 params → 200
GET
/v1/mlmodels/{id}/versions/{version}
Get a version of the ML model
getSpecificMlModelVersion 2 params → 200404
GET
/v1/mlmodels/history
List all entity versions within a time range
listAllEntityVersionsByTimestamp_34 5 params → 200
GET
/v1/mlmodels/{id}/versions
List ML model versions
listAllMlModelVersion 1 param → 200
PUT
/v1/mlmodels/restore
Restore a soft deleted ML model
restore_25 body → 200
PUT
/v1/mlmodels/{id}/vote
Update Vote for a Entity
updateVoteForEntity_11 1 param body → 200404

Schemas 33

The contract defines 33 schemas that model the data the API accepts and returns. The most detailed are MlModel (41 properties), CreateMlModel (20 properties), ChangeEvent (14 properties), TagLabel (13 properties). Each schema is shown below with its type and property counts.

TagLabelRecognizerMetadata
object
5 properties 3 required
BulkOperationResult
object
8 properties
ChangeSummaryMap
object
AccessDetails
object
3 properties 1 required
FieldChange
object
3 properties
CoverImage
object
2 properties
RestoreEntity
object
1 property 1 required
MlHyperParameter
object
3 properties
LifeCycle
object
3 properties
EntityHistory
object
2 properties 2 required
AssetCertification
object
3 properties 3 required
VoteRequest
object
1 property
ResultList
object
5 properties 1 required
MlFeatureSource
object
6 properties
BulkResponse
object
3 properties
Paging
object
5 properties 1 required
CreateMlModel
object
20 properties 2 required
JsonPatch
object
ChangeDescription
object
5 properties
MlStore
object
2 properties
MlModel
object
41 properties 4 required
ChangeEvent
object
14 properties 5 required
UsageStats
object
2 properties 1 required
MlModelList
object
5 properties 1 required
Style
object
3 properties
MlFeature
object
7 properties
Votes
object
4 properties
TagLabel
object
13 properties 4 required
PatternMatch
object
3 properties 2 required
TagLabelMetadata
object
2 properties
EntityError
object
2 properties
EntityReference
object
9 properties 2 required
UsageDetails
object
4 properties 2 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

openmetadata-ml-models-api-openapi.yml Raw ↑

Other APIs OpenMetadata publishes across the network.

OpenMetadata Agent Executions API
OpenMetadata AI Applications API
OpenMetadata AI Governance Policies API
OpenMetadata API Collections API
OpenMetadata API Endpoint API
OpenMetadata API Services API
OpenMetadata Apps API
OpenMetadata Audit Logs API
OpenMetadata Bots API
OpenMetadata ChangeSummary API
OpenMetadata Charts API
OpenMetadata Classifications API
Where this information came from

This is an independent, third-party profile of OpenMetadata ML Models 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.