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Events.com ML Dashboard API

The ML-Dashboard API from Events.com — 6 operation(s) for ml-dashboard.

Events.com ML Dashboard API is one of 113 APIs that Events.com publishes on the APIs.io network, described by a machine-readable OpenAPI specification.

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

This API exposes 9 operations across 6 paths, and defines 12 schemas. It is described by OpenAPI 3.2.0, at version 1.0.36.

Requests are made against a single base URL, https://datagol-be.events.com/.

9 operations 6 paths 12 schemas 1 DELETE4 GET3 POST1 PUT

Metadata

The identity and technical contract details declared by the specification.

Specification
OpenAPI 3.2.0
API Version
1.0.36
Base URL
https://datagol-be.events.com/
Resource Areas
1

Paths & Operations 9

Across 6 paths, the API surfaces 9 operations — 1 DELETE, 4 GET, 3 POST, 1 PUT. Each is listed below with its method, path, parameters, and response codes.

ML-Dashboard 9
POST
/ai/api/v2/ml/dashboard/{elementType}/{elementId}/models
Create Model
create_model body → 200422
GET
/ai/api/v2/ml/dashboard/{elementType}/{elementId}/models
Get Models
get_models 1 param → 200422
GET
/ai/api/v2/ml/dashboard/{elementType}/{elementId}/models/{modelId}
Get Model
get_model 1 param → 200422
PUT
/ai/api/v2/ml/dashboard/{elementType}/{elementId}/models/{modelId}
Update Model
update_model 2 params body → 200422
DELETE
/ai/api/v2/ml/dashboard/{elementType}/{elementId}/models/{modelId}
Delete Model
delete_model 2 params → 200422
GET
/ai/api/v2/ml/dashboard/models/config
Get Model Config
get_model_config → 200
POST
/ai/api/v2/ml/dashboard/{elementType}/{elementId}/models/{modelId}/train
Trigger Model Training
train_model 1 param → 200422
GET
/ai/api/v2/ml/dashboard/{elementType}/{elementId}/models/{modelId}/history
Get Model Train History
model_training_history 1 param → 200422
POST
/ai/api/v2/ml/dashboard/{elementType}/{elementId}/models/{modelId}/predict
Trigger Model Prediction
predict_using_model 3 params → 200422

Schemas 12

The contract defines 12 schemas that model the data the API accepts and returns. The most detailed are AutoARIMAModelProperties (9 properties), RandomForestModelProperties (9 properties), ProphetModelProperties (9 properties), CreateModel (8 properties). Each schema is shown below with its type and property counts.

ARIMAorder
object
3 properties 3 required
DataProperties
object
2 properties 2 required
Regressor
object
2 properties 1 required
AutoARIMAModelProperties
object
9 properties 1 required
ExponentialSmoothingModelProperties
object
6 properties
ValidationError
object
5 properties 3 required
HTTPValidationError
object
1 property
LinearRegressionModelProperties
object
5 properties 1 required
CreateModel
object
8 properties 5 required
ProphetModelProperties
object
9 properties 1 required
RandomForestModelProperties
object
9 properties 1 required
ARIMAModelProperties
object
8 properties 3 required

Specification

The full machine-readable OpenAPI contract behind this narrative.

Source

eventscom-ml-dashboard-api-openapi.yml Raw ↑

Other APIs Events.com publishes across the network.

DataGol MCP Server
Events.com Agent Config Controller API
Events.com Agent Config Migration Controller API
Events.com Agent Email Controller API
Events.com Agent Job Update Controller API
Events.com Agent MCP API
Events.com Agent MCP Config Controller API
Events.com Agent Memory API
Events.com Agent Skill Controller API
Events.com Agent Template Controller API
Events.com AI Feedback Controller API
Events.com AI Third Party Page Controller API
Where this information came from

This is an independent, third-party profile of Events.com ML Dashboard 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.

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