Resources for consumer AI app teams

Building first? Jump straight to the API reference.

Start here

1Read the API referenceStart with the canonical API docs and runtime concepts.2Run the quickstartCreate a first request and validate the server path.3Get a new revenue streamCreate an account and prepare sandbox credentials when you are ready to evaluate the integration.

Start with your question

Monetization

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Ad revenueGUIDEUnderstand CPM, fill rate, pricing, publisher share, and how ad revenue is calculated.Monetization optionsGUIDECompare ads with subscriptions, credits, and other ways to monetize a consumer AI app.

Product & data

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SafetySECURITYRuntime boundaries, consent controls, fail-closed behavior, and proof model.Data firewallSECURITYThe boundary that keeps prompts and chat history out of ad delivery.

AI advertising

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Loader AdsGLOSSARYHow Loader Ads can appear around the wait window while the answer loads.wavebirdGLOSSARYCanonical definition of wavebird and what the infrastructure does.

Integration

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API docsCOREAPI reference, runtime concepts, endpoint docs, and integration patterns.SDK docsINTEGRATIONClient and server SDK packages for teams that prefer a wrapper over the raw API.QuickstartINTEGRATIONCreate a first server-side request and verify the integration path.Integration pathsINTEGRATIONCompare API, script tag, and advanced SDK integration paths.

Standards & evidence

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Compute SponsoringSTANDARDThe Compute Sponsoring proposal and its consent/data boundaries.Proof integrity whitepaperWHITEPAPERSigned proof, beacon chains, Merkle roots, and verification model.Engineering evidenceEVIDENCEEngineering evidence, benchmark results, and validation scope.DPIA / DSFAEVIDENCEPublic DPIA / DSFA for privacy boundaries and residual risk.Compute Sponsoring v1.0 white paperEVIDENCEThe public Compute Sponsoring proposal and reference material.

Support

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ContactSUPPORTTalk through rollout constraints, integration fit, and production readiness.

Build with the Server API.

Use the API path when you want control over request timing, privacy boundaries, and rendering in your own UI.

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