MCP & AI Agent 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.

No credit card required · 1,000 free runs · 20 actions available

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 an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA 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

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Bigml in minutes, dry-run every action before it touches production, full audit trail on everything.

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