Integration

Bigml
automation.

20 automated actions available through Cerebral OS. Connect Bigml to any workflow, Cerebral, or Map — with full governance, audit trail, and dry-run safety on every execution.

20 actions · comms · governed execution

Execution trace
live
20
actions
100%
governed
<200ms
latency
20
Automated actions
10
Read operations
10
Write operations
2,800+
Compatible Maps
Actions

What you can do
with Bigml.

Every action below is available as a verb in Cerebral OS — callable from a Cerebral, a Map, or the Runtime API. All executions are governed, audited, and dry-run safe.

Create Dataset
bigml:create_dataset
Create a new dataset from an existing source.
Write Medium risk
Create Evaluation
bigml:create_evaluation
Create an evaluation to measure model performance on a test dataset.
Write Medium risk
Create Model
bigml:create_model
Create a new machine learning model from an existing dataset.
Write Medium risk
Create Prediction
bigml:create_prediction
Create a prediction using a trained model with input data.
Write Medium risk
Create Source
bigml:create_source
Create a new data source from a remote URL.
Write Medium risk
Delete Dataset
bigml:delete_dataset
Permanently delete a dataset and all its dependent resources.
Write High risk
Delete Evaluation
bigml:delete_evaluation
Permanently delete an evaluation.
Write High risk
Delete Model
bigml:delete_model
Permanently delete a model and all its dependent resources.
Write High risk
Delete Prediction
bigml:delete_prediction
Permanently delete a prediction.
Write High risk
Delete Source
bigml:delete_source
Permanently delete a data source and all its dependent resources.
Write High risk
Get Dataset
bigml:get_dataset
Fetch a single dataset by ID with field information and statistics.
Read Low risk
Get Evaluation
bigml:get_evaluation
Fetch a single evaluation by ID with performance metrics and results.
Read Low risk
Get Model
bigml:get_model
Fetch a single model by ID with training information and performance metrics.
Read Low risk
Get Prediction
bigml:get_prediction
Fetch a single prediction by ID with result and confidence information.
Read Low risk
Get Source
bigml:get_source
Fetch a single data source by ID with upload status and field information.
Read Low risk
List Datasets
bigml:list_datasets
List datasets with optional filtering and pagination.
Read Low risk
List Evaluations
bigml:list_evaluations
List evaluations with optional filtering and pagination.
Read Low risk
List Models
bigml:list_models
List models with optional filtering and pagination.
Read Low risk
List Predictions
bigml:list_predictions
List predictions with optional filtering and pagination.
Read Low risk
List Sources
bigml:list_sources
List data sources with optional filtering and pagination.
Read Low risk
How it works

Every Bigml action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Bigml — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Bigml action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Bigml action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Bigml integration

20 actions.
Governed by default.

Connect Bigml to any workflow in minutes. Dry-run every action before it touches production. Full audit trail on everything.

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