From prompt to production, with your approval
Agents create pipelines and connectors from a prompt, transform events in flight, and repair failures automatically.
Build pipelines from a prompt
Describe what you need in plain language. Agents build the pipeline or connector, infer the schema, and gate it through validation and testing before deploy.
Learn more about Agent Skills →Transform events in flight
Join streams, aggregate, call external APIs, and use LLMs to classify, enrich, and route events as they flow: sandboxed, schema-enforced, exactly-once, and fully audited.
Repair failures automatically
Failures are root-caused, fixes drafted and sandbox-tested, and a PR opened for your approval, often before anyone notices.
Natural language in, production pipeline out
Every generated spec passes the same gate: validate, test, deploy. Nothing touches production unverified. No connector for your system? Estuary generates one from the API.
“Capture our Postgres orders table into Snowflake and refresh every 5 minutes during business hours”
Intelligence inside the pipeline
Tell your agent how you want your data structured, and it will build the transformations, joins, and aggregations needed to produce it. Stateful derivations run continuously on every event in flight, with no separate infrastructure to operate.
“Create two streams for buyer intent and churn risk and auto-classify signals”
Failures repaired before they page you
When something breaks, like an API change or schema drift, agents root-cause it, draft a fix, test it in a sandbox, and open a PR for your review. You stay in control; you just don’t get woken up.
Autonomy runs inside the guarantees
AI can only be trusted with your pipelines because the runtime enforces the rules.
Consistent
Exactly-once and schema-enforced, end to end. An agent can't corrupt what the runtime won't accept.
Replayable
Every collection is a durable log. Keep everything that flowed; re-materialize it anywhere, anytime.
Guardrailed
AI writes logic; the platform runs it sandboxed, validated, and tested before production.
Scalable
Agent workloads spike and multiply. The runtime scales with them — no re-architecture.
- Set any refresh rate, from milliseconds to hours
- APIs agents know how to drive, humans can review
- Recovers and evolves on its own
Agents don’t add reliability. They inherit it.
Get the foundation right. Then let AI build, transform, and fix your pipelines.