inbound_webhook
Inbound Webhook
Receives HTTP POST at the Slates webhook URL. Parses JSON into payload (or stores raw body if not JSON). Configure your provider to POST here when supported.
Supported Triggers
resource_completed
Resource Completed
Triggers when a BigML resource finishes processing (reaches FINISHED status). Polls for recently completed datasets, models, ensembles, deepnets, and evaluations.
new_resource
New Resource
Triggers when a new BigML resource is created. Polls for recently created sources, datasets, models, ensembles, deepnets, predictions, and evaluations.
More integrations teams use with Bigml
GitHub
Manage repositories, issues, and pull requests. Create and configure branches, star repositories, review code, and merge changes. Automate CI/CD workflows with GitHub Actions, manage workflow runs, secrets, and artifacts. Track issues with labels, milestones, and assignees. Search across code, repositories, issues, and users. Manage organizations, teams, and memberships. Create and manage projects, gists, packages, deployments, and environments. Access security alerts including code scanning, secret scanning, and Dependabot alerts. Read and write file contents in repositories. Manage webhooks, notifications, and codespaces.
Sharepoint
Manage SharePoint sites, document libraries, lists, and files. Create, read, update, and delete lists and list items with custom columns. Upload, download, move, copy, and version files in document libraries. Search across sites, files, folders, lists, and list items using Microsoft Search. Manage permissions at site, list, and item levels with granular access control. Define and manage content types and site columns. Subscribe to webhooks for list and library change notifications. Retrieve site properties and search for sites across Microsoft 365.
Salesforce
Manage CRM data including Accounts, Contacts, Leads, Opportunities, Cases, and custom objects. Create, read, update, and delete records. Query data using SOQL and search across objects using SOSL. Perform bulk data operations for large-scale imports, exports, and migrations. Execute composite requests to batch multiple operations in a single API call. Access analytics, reports, and dashboards. Manage files and attachments associated with records. Interact with Chatter feeds, posts, and groups for social collaboration. Subscribe to real-time change events via Change Data Capture and Platform Events. Manage org metadata including custom objects, fields, layouts, and workflows. Query data using GraphQL for precise data retrieval across related objects.
Airtable
Create, read, update, and delete records in Airtable bases and tables. Manage base schemas including creating tables and fields. Filter records using formulas, sort by fields, and scope queries to specific views. Upsert records to find, create, or update in a single call. Upload attachments to records, read and write record comments, list accessible bases, and receive real-time base change events through webhooks.
Bitbucket
Manage Git repositories, pull requests, and CI/CD pipelines on Bitbucket Cloud. Create, fork, and configure repositories within workspaces and projects. Create, review, approve, merge, and decline pull requests with inline code comments. Browse source code, list commits, and manage branches and tags. Track issues with the built-in issue tracker. Trigger, monitor, and manage Bitbucket Pipelines. List workspace members, configure repository default reviewers and branch restrictions, create and manage repository webhooks, and search code across repositories.
Heroku
Deploy, manage, and scale applications on Heroku's cloud platform. Create and configure apps, scale dynos, provision add-ons (databases, caching, etc.), manage configuration variables, build and release code, add custom domains and SSL certificates, manage collaborators and team permissions, configure pipelines for continuous delivery, set up log drains, and sync data with Salesforce via Heroku Connect. Subscribe to webhooks for real-time notifications on app changes, builds, releases, dyno lifecycle events, and more.
Technical notes for Bigml
Build, manage, and deploy machine learning models via BigML's cloud platform. Create data sources from files, URLs, or external databases. Process datasets with transformations, sampling, filtering, and aggregation. Train supervised models (decision trees, ensembles, deepnets, logistic/linear regressions, time series) and unsupervised models (clusters, anomaly detectors, topic models, associations, PCA). Generate single or batch predictions including classifications, regressions, forecasts, anomaly scores, and centroids. Evaluate model performance with accuracy and precision metrics. Automate model selection with OptiML. Combine heterogeneous models using fusions. Script and automate ML workflows with WhizzML. Export models for local use. Manage organizations, projects, and external database connectors. Receive webhook notifications when resources are created or completed.
Frequently asked questions
Common questions about connecting Bigml to AI agents with Metorial.
Can Metorial connect Bigml to AI agents?
Yes. Metorial connects AI agents to Bigml through a governed integration layer, so teams can use the provider while keeping access controlled and observable.Does the Bigml integration work with MCP?
Metorial is MCP compatible and lets teams expose approved provider tools to MCP-capable agents and clients through a controlled access layer.How does Metorial control access to Bigml?
Metorial applies policies across users, groups, providers, agents, and individual tools, then records the context around every agent interaction.Can teams trace Bigml activity from agents?
Yes. Metorial records provider activity so teams can inspect tool calls, troubleshoot integrations, and give security teams the visibility they need.