CONNECTIONS / Wasabi / Wasabi to OpenAI Offline CAPI
Wasabi objects into OpenAI, built for OpenAI's Offline Conversions API.
Connect Wasabi and point Signals at your Wasabi objects; it reports downstream revenue as OpenAI's conversion measurement comes online each time a new file lands, hashed and consent-checked for OpenAI.
- ● wasabi → openai.capi :: live
- > read closed_deals rows=48,440
- hash sha256(email,phone) consent=filtered
- route openai deliver
- ✓ delivered · 43,112 matched
WHAT THIS ENABLES
Wasabi to OpenAI Offline CAPI
Wasabi to OpenAI Offline CAPI: your Wasabi objects, hashed and consent-checked, feed OpenAI as Signals reports downstream revenue as OpenAI's conversion measurement comes online each time a new file lands.
- Offline and in-store sales from your Wasabi objects activated for OpenAI, as Signals reports downstream revenue as OpenAI's conversion measurement comes online.
- A revenue feed ready the moment OpenAI's offline measurement expands, drawn from your Wasabi objects by teams archiving to Wasabi.
The click, the conversion, and the credit.
The conversion happens off OpenAI, away from any pixel. Here is how Wasabi closes the loop.
Built for the teams that own the number.
Teams archiving to Wasabi activating OpenAI's Offline Conversions API straight from Wasabi objects.
From kickoff to verified events.
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Connect
A read-only key scoped to the Wasabi bucket you name to feed OpenAI's Offline Conversions API, sized for the emerging OpenAI ad surface.
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Map
Signals picks up your Wasabi objects, and its columns map to OpenAI's Offline Conversions API in the visual mapper, hashed and checked for the emerging OpenAI ad surface.
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Deliver
On each run, Signals pulls your Wasabi objects, reports downstream revenue as OpenAI's conversion measurement comes online, and processes only the newly dropped file, with the emerging OpenAI ad surface 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 Wasabi records the event. |
What Offline CAPI actually receives.
- ● signals :: event payload
- > POST /offline_conversions source=wasabi.closed_deals
- event_name "Purchase" · event_time 1784296779
- em sha256 "2b9d64…" · value 39197 · currency SAR
- ✓ accepted · row_status delivered
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How often does the Wasabi OpenAI Offline CAPI sync run?
Delivery tracks Wasabi, run by teams archiving to Wasabi: a near-real-time or scheduled sync of your Wasabi objects feeds OpenAI on that cadence. Each run processes only the newly dropped file, 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 Wasabi-sourced OpenAI Offline CAPI batch expect?
Match rate follows identifier coverage in your Wasabi objects, which teams archiving to Wasabi control, not Wasabi itself. A record with a current hashed email or phone matches for OpenAI; one missing both cannot. First-run feedback from Offline Conversions API pinpoints the emerging OpenAI ad surface, the number teams archiving to Wasabi tune against.
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