Data Extraction
The Data Extraction agent helps data teams with pulls structured fields from PDFs and exports. It runs with EU AI Act–ready guardrails: your integrations stay connected, sensitive actions pause for human approval, and every output stays traceable for audit.
Capabilities
- Pulls structured fields from PDFs and exports
- Handles tables, invoices, and forms
- Validates formats and flags low-confidence cells
- Outputs CSV or API-ready JSON
How it works
Connect sources
Wire warehouses, files, or APIs with schema-aware permissions.
Analyze and narrate
The Data Extraction agent computes trends, extracts fields, or writes stakeholder copy.
Deliver artifacts
Exports land in Slack, email, or your lakehouse with lineage notes.
Required integrations & tools
Connects to: S3 / Drive, Snowflake / BigQuery, Webhooks.
What a run costs
Typical cost: ~10–22 tokens per run
You see an estimate before the run starts and the real amount when it finishes, drawn from your balance. Admins can cap what this agent — or the person using it — may spend in a month.
You stay in control
- This template is a starting point: you get your own copy and can change its instructions, model, tools and knowledge without affecting anyone else.
- Anything that changes the outside world asks first — and you can edit what it proposed before approving. Sending mail, deleting and paying always ask again.
- Run it from the chat, on a schedule, or from an external event via a webhook — the history, cost and output of every run are kept.
Related agents
More data templates you can deploy the same way.