Assistant
From a sentence to a scheduled pipeline.
Tell the Assistant what data you want. It asks a few scoping questions, picks the source and the destination, generates the tap, requests credentials through Vault, runs the job, confirms the rows landed, and hands you the receipt. Then it puts the run on a schedule.
Built-in Assistant
Type what you want.
Type what you want.
The Assistant builds it.
Datris ships with an Assistant Agent inside the platform UI. Tell it what data you want. It asks a few sharp scoping questions, picks the right source and destination, generates the fetcher, requests credentials securely, runs the job, confirms the rows landed, and lets you query the result — usually in seconds, with no hand-written config.
- Clarifies scope before building — picks the right source, destination, and cadence with you
- Generates and runs the fetcher (tap) for external APIs and files
- Requests credentials through a secure form — never in chat history
- Polls job status and confirms rows actually landed before saying "done"
- Flags things you didn't ask about — upsert vs append, fair-use policies, schema drift
- Answers natural-language questions over the data once it's in
Things you can say to it
- "I'm looking for corporate earnings data."
- "Ingest these PDFs into a vector store for RAG."
- "Refresh treasury yields from FRED nightly and let me query trends."
Every request becomes a durable pipeline, schedule, and dataset you can audit, hand off, or query from the rest of the platform — not chat-only state.