Resources for app developers
Use this hub to navigate the core docs: API integration, safety constraints, standard definitions, and measured engineering evidence.
Building first? Jump straight to the API reference.
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API reference
API reference, runtime concepts, endpoint docs, and integration patterns.
Contact
Talk through rollout constraints, integration fit, and production readiness.
Safety
Runtime boundaries, consent controls, fail-closed behavior, and proof model.
How wavebird works
The request flow and what runs where during ad-funded AI responses.
Free tier economics
Model the cost and revenue math behind free AI usage.
AI monetization
Compare practical monetization models for GenAI apps.
wavebird
Canonical definition of wavebird and what the infrastructure does.
GenAI app
Definition of the AI app surfaces wavebird supports.
Inference-time ads
How ads can appear around the wait window while the answer loads.
Data firewall
The boundary that keeps prompts and chat history out of ad delivery.
OpenRTB
How the standard ad auction protocol relates to configured partner paths.
Compute Sponsoring
The Compute Sponsoring proposal and its consent/data boundaries.
Proof integrity
Signed proof, beacon chains, Merkle roots, and verification model.
Compute Sponsoring explained
The public Compute Sponsoring proposal and reference material.
Compute Sponsoring v1.0 white paper
The public Compute Sponsoring proposal and reference material.
Engineering evidence
Engineering evidence, benchmark results, and validation scope.
Proof integrity whitepaper
Signed proof, beacon chains, Merkle roots, and verification model.
DPIA / DSFA
Public DPIA / DSFA for privacy boundaries and residual risk.
Recommended path
Build with the Server API.
Use the API path when you want control over request timing, privacy boundaries, and rendering in your own UI.