Synorb provides a live graph of structured claims sourced from over 500,000 organizations, datasets, and individuals, offering more than 1,700 streams of manifests for reasoning systems. By integrating its canonical MCP, developers can add source‑grounded intelligence to existing coding agents, enabling AI to access contextual claims instantly and reducing token usage for agentic search by over 90%.
Funding
Funding not disclosed
Founders
Product
Problem
AI agents and reasoning systems often rely on ad‑hoc web scraping or generic web search to obtain context, which is costly to build, incurs high token usage, and lacks reliable source provenance. This limits the efficiency and trustworthiness of applications that need up‑to‑date, structured factual information.
Solution
Synorb provides a continuously updated temporal context graph that aggregates over 12 million structured claims from more than 500 k organizations, datasets, and individuals. Claims are organized into Streams and delivered as Manifests containing three machine‑native views—Signals, Briefs, and Records—each with stable IDs, provenance, and domain taxonomy. The platform exposes a single canonical MCP (and complementary REST, WebSocket, webhook, and S3 interfaces) so developers can plug live, source‑grounded intelligence into any MCP‑compatible coding agent without building custom scrapers. By supplying pre‑extracted, structured context, Synorb reduces token consumption for agentic search by more than 90% and offers both daily‑batch Streams and real‑time Firehose delivery to match different workflow needs.
Target Audience
Primary customers are developers and product teams building AI agents, reasoning engines, or data‑enriched applications—ranging from startups and individual developers to enterprise AI services, research labs, and data platforms that require reliable, up‑to‑date claim data.
Features
- Live graph of 12 M+ structured claims across 1 700+ Streams, refreshed daily or in real time
- Manifests deliver three machine‑native views (Signals, Briefs, Records) with canonical JSON, stable IDs, and full source lineage
- Single MCP endpoint plus REST, WebSocket, webhook, and S3 export options for flexible integration with any coding agent
- Token‑efficiency layer that cuts agentic search token usage by >90% compared to raw web search
- Tiered delivery models: Streams (daily batch, quota‑based) and Firehose (continuous WebSocket feed) for internal products or platform‑scale deployments
- “Beacons” feature that stores reusable retrieval recipes for repeatable agent queries
- Built‑in ontology, shared taxonomies, and provenance metadata enabling graph traversal by reasoning systems