Algenta

Showing 25 of 140 from the live probe.

• Onboard Dataset

  Register a dataset for semantic querying. Pass column names, inline records, or raw CSV. The engine profiles roles automatically and starts background training. Queries work immediately via a fallback model — accuracy improves once schema-specific training completes (poll status with list_datasets).

• List Datasets

  List registered datasets and their current model tier. Use search plus compact mode for low-token discovery, then poll status or use the primary data tools once you choose a dataset.

• Get Dataset Status

  Get live training status and model tier for a specific dataset. model_tier: 'none' = deterministic only, 'base' = generic model, 'schema' = fully trained schema-specific model (best quality).

• Retrain Dataset

  Re-trigger semantic training for a dataset. Use after schema changes, alias updates, or to force a fresh model build.

• Connect Data

  High-level data onboarding flow. Use this instead of advanced connector/source tools for normal users. Connect data once, pick the table/file/endpoint, and get a reusable dataset_id. If the result status is needs_selection, call connect_data again with connection_id and the chosen selection.

• List Data

  List visible datasets for the current user. Use search plus compact mode first for low-token dataset discovery, then get_data_schema on the chosen dataset_id.

• Get Data Summary

  Get the low-token dataset selection summary for a saved dataset_id. Use this after list_data(search=..., compact=true) before paying for the full schema payload.

• Get Data Schema

  Get a saved dataset plus its schema and relationship metadata by dataset_id.

• Refresh Data

  Refresh a saved dataset from its original database/API/object-store origin.

• Disconnect Data

  Delete a saved dataset and disconnect it from future use.

• Register Source

  Advanced tool. Register a data source and get full schema profiling + join detection. Profiles every column (type, cardinality, fill rate, distribution). Detects formula relationships (A×B≈C) within the source. Detects join keys to every already-registered source automatically. After registration the source is queryable by name via query_data. Safe to call multiple times — re-registration is a no-op if data is unchanged.

• List Sources

  Advanced tool. List all registered data sources for this org with their schema summaries. Use this to discover available tables before calling query_data or register_source.

• Get Source Schema

  Advanced tool. Get the full schema for a specific registered source: column types, cardinality, fill rates, formula relationships, and detected join keys to other sources.

• List Connectors

  List saved data connectors such as databases, APIs, and file-backed sources. Use this before get_connector, test_connector, or browse_connector.

• Create Connector

  Create and save one connector configuration for later data onboarding, health checks, and schema browsing.

• Get Connector

  Fetch one saved connector by id.

• Update Connector

  Update one saved connector name, description, visibility, or config.

• Test Connector

  Run a real connectivity test for one saved connector and persist its live/error status.

• Browse Connector

  Browse one saved live connector to discover files, tables, endpoints, or items.

• Preview Test Connector

  Run a real connectivity test for one inline connector definition without saving it.

• Preview Browse Connector

  Browse one inline connector definition without saving it to discover files, tables, endpoints, or items.

• Delete Connector

  Delete one saved connector by id.

• Get Repository Intelligence Capabilities

  List globally supported Repository Intelligence languages and ranked support progress.

• Create Repository Snapshot

  Create or reuse an immutable repository snapshot for a saved repository connector.

• Get Repository Snapshot

  Fetch one immutable repository snapshot by repository_id and snapshot_id.