Upcoming demo days on
“Introducing Connect AI: Build production-ready connectors with agentic AI in hours”
|
Oct 22, 2026
|
Register Here
Upcoming demo days on
“Introducing Connect AI: Build production-ready connectors with agentic AI in hours”
|
Oct 22, 2026
|
Register Here
For any source with a supported REST API. Hevo builds it, runs it like a native connector, and keeps it current when the API changes.
There will always be a source no catalog covers: a new SaaS tool, a niche industry platform, an internal app. Today, that leaves you three choices.
File a request and join the roadmap queue. It may ship next quarter, or never. The analyst hears no in the meantime.
Write it by hand or vibe code it with an AI tool. Either way you get day-one code, and your team inherits every day-two problem: hosting, schema changes, retries, alerting, and someone on call.
CSV exports, copy-paste spreadsheets, or questions scoped to the data you already have. The source stays out of your warehouse, and the answers stay incomplete.
You shouldn't have to pick one. With ConnectAI, a missing connector stops being a blocker.
It works. The demo looks great.
Published after you review and accept it.
The source ships API v2. Nobody is watching for it.
The agent detects API v2 and updates the connector.
A dashboard goes stale. An engineer drops their sprint to patch it.
Data keeps flowing. No ticket, no release to wait for, nothing to patch.
Maintenance is part of the managed commitment, the same as for every native Hevo connector. It is not a separate service.
The build runs on your API documentation alone. Your credentials come in only at step 3, and nothing goes live without your sign-off.
Any one of these is enough: a docs URL, an OpenAPI or Swagger spec, or another supported format.
It reads the API, generates the connector and tests it in Hevo's own sandbox on the source's trial account, never your tenant.
Connect it to your source, check the output, and publish only when you accept. Data flows only after you authenticate.
Hevo operates and monitors it like a native connector. When the source API changes, the agent updates it.
Analytics is increasingly run by agents, so preparing data is no longer the constraint it was. The constraint has moved to coverage: teams pull from whatever sources answer the question, including the niche platform and the internal tool.
Connector counts never told you whether your actual tools were covered. A source with a supported REST API is a source you can use.
Native connectors
For the common sources most stacks share.
ConnectAI for everything else
Any source with a supported REST API, built in hours.
Same pipeline experience either way. Your team won't need to know which is which.
The Connector Builder Agent uses the capabilities of Hevo's core platform to build each connector. Every connector it delivers meets the same standard as the native connectors Hevo already runs in production.
The AI agent applies proven patterns for auth, pagination, incremental logic, schema handling, and rate limits. Every connector starts battle-tested.
Throughput, retries, failure handling, alerting and observability are inherited from the platform, not rebuilt per connector.
Same runtime, same guarantees, same engineers on call. Your team can't tell the difference, and neither can your pipelines.
No code to write
The agent writes and tests it. You review the output.
No infrastructure to deploy
Hosting and scheduling run on Hevo's platform.
No monitoring to set up
Alerting and on-call come with it, as with any native connector.
No maintenance to absorb
The agent watches the source API and keeps the connector current.
We needed sources that were not in any vendor's catalog. With Connect AI, I built the connector from the API documentation within an hour, and it is running in production today.
ConnectAI connectors run inside the same platform and controls as every Hevo pipeline.
