Real-time web data for AI agents.
AI agents do not just need pages. They need current, source-grounded context with fields the application can store and cite. Synorb turns watched source changes into Manifests delivered through Streams.
Agents need freshness with provenance.
Real-time data without provenance creates a review problem. Provenance without structure creates an integration problem. Synorb packages the update, source URL, source metadata, stable IDs, tags, and delivery state so the agent has something usable.
Streams refresh on the cadence and plan you choose. The app can show dates, pagination, and usage instead of guessing.
Each Manifest carries source URLs and source metadata so agents can cite the originating source.
Use REST for product paths, MCP for agent-native exploration, webhooks for event workflows, and S3 for durable archive.
Where real-time web data becomes useful.
Track named companies or markets and surface recent source-backed updates in a dashboard or team agent.
Render topic pages, newsletters, or research feeds from source-linked Manifests instead of scraped snippets.
Let agents listen to a known source universe first, then search the open web only when the feed is thin.