Most AI agents are blind to the real-time web — traditional crawlers return messy, unstructured data. contextforce discovers, crawls, and parses multi-modal data across social, commerce, and map ecosystems, transforming the open web into structured, agent-ready intelligence endpoints.
Today's LLMs can reason brilliantly — but only over what they're handed. Drop a raw URL into a crawler and you get walls of boilerplate HTML, obfuscated SPA payloads, and JS-rendered junk that has to be re-parsed every time.
contextforce closes the gap. One layer that handles discovery, proxy chaining, JS execution, and schema-aware extraction — so your agents call a clean endpoint and receive entities, not soup.
Every endpoint runs the same backbone. Pick a stage as a primitive, or chain the whole flow.
Three domains, one consistent shape. Every result speaks the same entity graph.
Every endpoint returns the same normalized shape — IDs, geocoordinates, canonical images, source provenance. Cache-first, deterministic keys, ready for retrieval pipelines.
Pick an endpoint from the catalog and call it from your agent or notebook in under a minute. Local dev needs no key.