# Data Workers Documentation

> Onboarding and technical documentation for Data Workers — the autonomous agentic
> data platform by Datapokopia: Agent Swarm, Spellbook Data Catalog (research preview),
> and Data Context Wizard. Built for pilot, Scale, and Enterprise customers.
> Full corpus: https://docs.dataworkers.io/llms-full.txt

## Pages

- [Connect Claude Code](https://docs.dataworkers.io/connect/claude-code/): Install Data Workers in Claude Code — plugin, local MCP, or hosted endpoint.
- [Connect Codex CLI](https://docs.dataworkers.io/connect/codex/): Install Data Workers in OpenAI Codex CLI via config.toml — local or hosted.
- [Connect Cursor](https://docs.dataworkers.io/connect/cursor/): Install Data Workers in Cursor — one-click deeplink or manual mcp.json.
- [Connect OpenCode](https://docs.dataworkers.io/connect/opencode/): Install Data Workers in OpenCode via opencode.json — local or hosted.
- [Other MCP clients](https://docs.dataworkers.io/connect/other-clients/): Data Workers in Claude Desktop, VS Code, Windsurf, Cline, Continue, ChatGPT, Gemini CLI, and any generic MCP client.
- [Atlan, Alation, or Collibra?](https://docs.dataworkers.io/connectors/atlan-alation-collibra/): The straight answer on the three big commercial catalogs — no native connector today, and the three ways teams connect anyway.
- [Connect BigQuery](https://docs.dataworkers.io/connectors/bigquery/): Connect Data Workers agents to BigQuery with a least-privilege service account, two environment variables, and a live verification test.
- [Connect Databricks](https://docs.dataworkers.io/connectors/databricks/): Connect Data Workers agents to Databricks Unity Catalog with a least-privilege service principal, two environment variables, and a live verification test.
- [Connect DataHub](https://docs.dataworkers.io/connectors/datahub/): Connect Data Workers agents to your DataHub instance with a read-scoped GMS token, two environment variables, and a live verification test.
- [Connect dbt](https://docs.dataworkers.io/connectors/dbt/): Connect Data Workers agents to dbt Cloud with a read-only API token, or to a local dbt Core project, and verify with a live test.
- [Supported connectors](https://docs.dataworkers.io/connectors/): The 50+ systems Data Workers connects to — warehouses, catalogs, orchestrators, quality, BI, identity — and what's not supported yet.
- [Least-privilege access](https://docs.dataworkers.io/connectors/least-privilege/): The minimum grants Data Workers agents need per system, and the rules that keep write access safe.
- [Connect OpenMetadata](https://docs.dataworkers.io/connectors/openmetadata/): Connect Data Workers agents to your OpenMetadata instance with a read-scoped bot JWT, two environment variables, and a live verification test.
- [Connect Snowflake](https://docs.dataworkers.io/connectors/snowflake/): Connect Data Workers agents to Snowflake with a least-privilege role, five environment variables, and a live verification test.
- [Docs for AI agents (MCP)](https://docs.dataworkers.io/help/docs-via-mcp/): Consume these docs from Claude or any agent — llms.txt, llms-full.txt, and the Data Workers docs MCP server with search, read, and feedback tools.
- [FAQ](https://docs.dataworkers.io/help/faq/): Frequently asked questions about Data Workers — pricing, security, maturity, connectors, and how it compares.
- [Report a bug or request a feature](https://docs.dataworkers.io/help/feedback/): File a bug report, feature request, or incident with Data Workers — as a human through the form, or programmatically from Claude or any agent.
- [Troubleshooting](https://docs.dataworkers.io/help/troubleshooting/): Common Data Workers failure modes and their fixes — install, connection, verification, and console issues.
- [Data Workers documentation](https://docs.dataworkers.io/): Product documentation for Data Workers — the Agent Swarm, Spellbook Data Catalog, and Data Context Wizard.
- [Data Workers Agent Swarm](https://docs.dataworkers.io/products/agent-swarm/): The governed fleet of specialist data agents — what each agent does, how the swarm is structured, and how to run it.
- [Catalog & Context (dw-context-catalog)](https://docs.dataworkers.io/products/agents/dw-context-catalog/): Hybrid catalog search, lineage traversal, and one-call asset context — the home of the governed context graph.
- [FinOps & Cost (dw-cost)](https://docs.dataworkers.io/products/agents/dw-cost/): Profile warehouse usage, find unused data, estimate savings with real cost math, and get tiered archival recommendations that never auto-execute.
- [Data Access & Governance (dw-governance)](https://docs.dataworkers.io/products/agents/dw-governance/): Policy checks, least-privilege access provisioning, column-level PII scanning, and audit reports with a full evidence chain.
- [Incidents (dw-incidents)](https://docs.dataworkers.io/products/agents/dw-incidents/): Diagnose data incidents, trace root cause through the lineage graph, and run remediation playbooks — with humans in the loop for anything novel.
- [Insights (dw-insights)](https://docs.dataworkers.io/products/agents/dw-insights/): Natural-language analytics against a governed warehouse — with pre-registered analysis plans, reproduced numbers, and anomalies root-caused before they become conclusions.
- [Migration (dw-migration)](https://docs.dataworkers.io/products/agents/dw-migration/): Oracle, Teradata, and Redshift to Snowflake migration with a self-correcting translate → judge → parity loop and a completion gate that fails closed.
- [MLOps & Models (dw-ml)](https://docs.dataworkers.io/products/agents/dw-ml/): Experiment tracking, a staged model registry, feature pipelines, drift detection, explainability, and A/B testing — the ML lifecycle as an agent.
- [Pipelines & Ingestion (dw-pipelines)](https://docs.dataworkers.io/products/agents/dw-pipelines/): Turn a natural-language description into a validated, deployable data pipeline — with templates, sandbox validation, and Airflow deployment.
- [Quality (dw-quality)](https://docs.dataworkers.io/products/agents/dw-quality/): Five-dimension quality scoring, statistical anomaly detection against 14-day baselines, and SLAs that alert with evidence instead of noise.
- [Schema (dw-schema)](https://docs.dataworkers.io/products/agents/dw-schema/): Detect schema changes, classify them as breaking or not, assess blast radius through lineage, and generate migrations with rollback built in.
- [Data & Cloud Security (dw-security)](https://docs.dataworkers.io/products/agents/dw-security/): DSPM and CSPM in one agent — discover and classify sensitive data, scan cloud posture, and route ranked findings to the agent that can fix them.
- [Streaming (dw-streaming)](https://docs.dataworkers.io/products/agents/dw-streaming/): Kafka Connect configuration generation, consumer-lag monitoring, stream health, and tuning recommendations that are always human-applied.
- [Usage Intelligence (dw-usage-intelligence)](https://docs.dataworkers.io/products/agents/dw-usage-intelligence/): Zero-LLM analytics on how practitioners actually use the platform — adoption, sessions, workflow patterns, heatmaps, and a hash-chained activity log.
- [Conductor](https://docs.dataworkers.io/products/conductor/): The always-on operations loop for your data estate — propose-first, approval-gated, in preview.
- [Data Workers Data Context Wizard](https://docs.dataworkers.io/products/data-context-wizard/): The governed, federated knowledge graph your agents read, reason over, and write back to — context your agents can trust.
- [Deployment options](https://docs.dataworkers.io/products/deployment/): Self-hosting the Data Workers agent swarm — npx, source, Docker Compose, Kubernetes, and air-gapped installs.
- [Integrations & SDKs](https://docs.dataworkers.io/products/integrations/): ChatGPT apps, agent-to-agent protocol, framework adapters, the Python SDK, and the catalog provider SDK.
- [Spellbook Data Catalog](https://docs.dataworkers.io/products/spellbook-data-catalog/): The browser control plane over the agent fleet — currently in research preview.
- [Warming up your knowledge graph](https://docs.dataworkers.io/products/warming-your-graph/): How the Data Context Wizard goes from a cold start to trusted, authoritative context — what's automated and what only you can provide.

## For agents

- File bugs/features/incidents: POST https://docs.dataworkers.io/api/feedback (see /help/feedback/)
- Docs MCP server: npx -y @dataworkers/docs-mcp (tools: search_docs, read_doc, submit_feedback)
- Preserve maturity labels (research preview / not supported) when quoting these docs.