CONNECTIONS / CouchDB / CouchDB to OpenAI Offline CAPI
CouchDB documents into OpenAI, built for OpenAI's Offline Conversions API.
Signals reads your CouchDB documents through a read-only database user scoped to the CouchDB documents you name, then reports downstream revenue as OpenAI's conversion measurement comes online so OpenAI sees offline conversions without an export.
- ● couchdb → openai.capi :: live
- > read closed_deals rows=62,852
- hash sha256(email,phone) consent=filtered
- route openai deliver
- ✓ delivered · 54,053 matched
WHAT THIS ENABLES
CouchDB to OpenAI Offline CAPI
OpenAI Offline CAPI for CouchDB: Signals reports downstream revenue as OpenAI's conversion measurement comes online straight from your CouchDB documents, hashed and consent-screened each time the read runs.
- Signals reports downstream revenue as OpenAI's conversion measurement comes online, reading your CouchDB documents each time the read runs.
- Measurement in place before the surface scales, with no export step out of your CouchDB documents.
The click, the conversion, and the credit.
The conversion happens off OpenAI, away from any pixel. Here is how CouchDB closes the loop.
Built for the teams that own the number.
Application teams running CouchDB who need a revenue feed ready the moment OpenAI's offline measurement expands out of CouchDB documents.
From kickoff to verified events.
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Connect
A read-only database user scoped to the CouchDB documents you name, mapped to OpenAI's Offline Conversions API and tuned for the emerging OpenAI ad surface.
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Map
Columns from your CouchDB documents align to OpenAI's Offline Conversions API in the visual mapper, hashed as the read runs and checked for the emerging OpenAI ad surface.
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Deliver
Each time the read runs, Signals reads your CouchDB documents and reports downstream revenue as OpenAI's conversion measurement comes online, reads only the records changed since the last run, with the emerging OpenAI ad surface watched in the debugger.
What changes when the CSV goes away.
| Capability | Manual CSV upload | Datahash |
|---|---|---|
| Reporting | Offline sales sit in a separate export, reconciled by hand. | Revenue counted in the same Offline CAPI reporting as web conversions. |
| Deduplication | A re-uploaded file risks counting the same conversion twice. | Deduped delivery, so a resent record never counts as a second conversion. |
| Match visibility | Match quality is a guess until the numbers look off. | Match rate reported per upload, tied to the source event set that produced it. |
| Effort and latency | An analyst exports and uploads on a manual cadence. | Server-side and automatic the moment CouchDB records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=couchdb.closed_deals
- event_name "Purchase" · event_time 1784567556
- em sha256 "2b9d64…" · value 20232 · currency AED
- ✓ accepted · row_status delivered
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How often does the CouchDB OpenAI Offline CAPI sync run?
Delivery tracks CouchDB, run by application teams running CouchDB: a near-real-time or scheduled sync of your CouchDB documents feeds OpenAI on that cadence. Each run reads only the records changed since the last run, so measurement in place before the surface scales holds up on the emerging OpenAI ad surface. The live debugger confirms every delivery inline.
What match rate should a CouchDB-sourced OpenAI Offline CAPI batch expect?
Coverage of hashed identifiers across your CouchDB documents decides it, and application teams running CouchDB own that inside CouchDB. A live email or phone matches into OpenAI; neither, and it will not. First-run feedback flags the emerging OpenAI ad surface, which application teams running CouchDB then raise inside your CouchDB documents.
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