Builds connections to APIs it's never seen.
The agent searches the API's docs, identifies the endpoint, configures auth and pagination, sets headers, and returns a working connection. No SDK, no copy-pasting from reference pages.
AI data integration
A real agent inside the product. AI built into every workflow. And an API so your other agents can use Etlworks as a tool. Not a chatbot bolted on — a data integration platform built for the world where agents and humans work together.
The problem
If the “AI” can answer questions but can't do anything — can't sample your data, can't write a transformation, can't build a connection to an API it's never seen, can't fix a broken pipeline — it's a search box with extra steps. Etlworks built the agent into the engine. It uses real tools, makes real changes, and shows you exactly what it did. Same engine, two paths: your team builds, or the agent builds. Or both.
What it looks like
Three things the agent does that most “AI ETL” can't.
The agent searches the API's docs, identifies the endpoint, configures auth and pagination, sets headers, and returns a working connection. No SDK, no copy-pasting from reference pages.
In Composer, the canvas updates as you describe what you want. Source, destination, mapping, schedule — all assembled in front of you, ready for approval before anything runs.
The agent reads the run log, finds the cause, explains it in plain English, and proposes a fix. Approve and it applies.
“Most vendors who say ‘AI agent’ are shipping a docs sidebar. We rebuilt the engine so the agent has real tools — it reads metadata, samples data, writes SQL, builds connections to APIs it's never seen, and fixes flows that broke overnight. The same engine your team uses to build pipelines is the engine the agent uses. That's the only honest way to do this.”
Beyond the agent
The agent is the headline. But there's also AI working passively, where you'd expect it.
Etlworks as a subagent
Etlworks exposes the agent and its tools through a REST API so your AI stack can drive it directly. Same agent, same permissions, same audit trail.
Direct tool access · Full agent chat · Use as a subagent in LangChain, CrewAI, AutoGen, or any orchestration framework.
Trust
No training on your data
Frontier LLMs under enterprise agreements that prohibit training on customer data.
Org-level on/off
Agent enabled per organization. Off is off, for everyone.
Full audit log
Every prompt, tool call, and change logged with user and timestamp.
BYOK or managed
Bring your own OpenAI key (no Etlworks markup) or use the managed wallet.
See full security details · Comparing AI in ETL platforms? See Etlworks vs Matillion Maia, Informatica CLAIRE, and Talend
FAQ
Does Etlworks train on my data?
No. The agent reads your metadata and samples your data to do its work, but that data never leaves your tenant for training. We use frontier LLMs from major providers under enterprise agreements that prohibit training on customer data.
How is this different from Matillion Maia or Informatica CLAIRE?
Maia and CLAIRE are real efforts. Differences: (1) Etlworks's agent is exposed as a subagent for your AI stack via REST API. (2) The agent builds connections to APIs it's never seen by reading docs from the web. (3) Etlworks ships AI features outside the agent — auto-mapping, in-app search, prompt-driven insights. (4) BYOK is supported.
What does the agent cost?
Q&A and the platform's AI features are absorbed in your platform tier. Agent work draws on a monthly credit allowance included with your tier. Bring your own OpenAI key to bypass Etlworks LLM billing entirely. See pricing
Start your trial
Spin up a free trial, talk to the agent, and see what real-tool ETL feels like.