AYA Webhooks Docs

Webhook documentation for receiving AYA research job events and integration updates.

Who this is for

Developers building integrations that need asynchronous AYA job updates.

What this page covers

Explain when and how AYA webhook events fit into integrations.

Asynchronous updates

Webhooks help integrations react to job lifecycle events without relying only on polling.

Production practice

Webhook consumers should verify events, handle retries idempotently, and store job state in their own application.

Developer evaluation path

Technical buyers should use the developer pages to understand the public integration surface, authentication model, connector routes, API concepts, and documentation map before building against AYA. Private consoles and account-specific tools remain outside the crawlable marketing surface.

AI agent context

These pages are written so coding assistants and retrieval agents can distinguish AYA APIs, MCP connectors, ChatGPT Actions, install guides, and reference material from the general product marketing pages.

Implementation boundary

A useful developer journey starts with the public docs, then moves into authenticated workspace setup only when the buyer is ready. Public documentation should explain what an integration can do, which workflows are available, how authentication is approached, how job status is handled, and where examples or reference material sit. It should not expose private customer data, secret tokens, or account-specific console routes to search engines.