Clerix is the real-time intelligence layer behind better decisions. We fuse global OSINT signals, AI systems, and proprietary data streams into a single API - delivering ground-truth telemetry and deterministic, typed JSON output on demand. No stale cache. No scraping brittleness. No normalization overhead. Just live, structured intelligence your systems can act on instantly - built for the teams where data quality is the product.
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Maker
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Hey PH 👋 Rom here, founder of Clerix. Excited to finally share this publicly.
I built Clerix out of frustration. I kept hitting the same wall: AI agents that needed live data about people and companies - for enrichment, scoring, profiling - but every data provider returned something stale, incomplete, or so unstructured it needed another parsing step before it was usable. The pipeline complexity was killing the product quality.
So we built the layer we wished existed: you send us an entity, we return clean typed JSON in real time. No cache. No polling. Schema-stable so your integration doesn't break when the source changes structure.
One early customer replaced a 3-step enrichment pipeline (fetch → normalize → validate) with a single Clerix call and cut their data freshness lag from 3 weeks to under 1 second. That kind of result is what we're optimizing for.
We're enterprise-only right now - no self-serve, custom contracts. Not the right fit for everyone and I know that's a friction point. We made that call deliberately to stay close to customers while the infrastructure matures.
Would love feedback from anyone building agentic pipelines, sales intelligence tooling, or entity resolution systems - those are the use cases we know best. Ask me anything about the architecture, the data reliability problem, or where we're headed. 🙏