Oracom is the world's correlation engine. We track publicly available indexes — economic, financial, weather, climate, disaster, demographic, geopolitical, sports, and more — and let anyone find statistically significant relationships between any two of them.
We fetch data on demand and generate zero-knowledge proofs confirming what public sources said at exact moments in time. Every proof is permanently recorded on two independent blockchains.
The data is free. The correlation engine is free. Certainty costs a negligible fee.
We are a reporter and a notary. We have no stake in any contract, prediction, or outcome. We prove what the public record said. Nothing more.
An autonomous discovery agent — powered by Anthropic AI — wakes up nightly and finds new public data sources. Government releases. Academic datasets. Sports statistics. News sentiment. Each source evaluated, catalogued, and registered automatically.
World Bank. Open-Meteo. Eurostat. OECD. Together: one million legitimate, fetchable, provable public indexes.
The first press citation. One sentence in one article. Worth more than any advertisement.
AWS spot compute running nightly. One hundred CPU cores. Ten thousand indexes against ten thousand others. One hundred million pairs. Three hundred sixty lags each.
The discoveries publish automatically. El Nino leads agricultural output by six months. Nikkei leads US unemployment by four months. What the quants missed.
GDELT news feeds integrated. Political events as indexes. News sentiment as data. The first enterprise customer using verified data in a live parametric contract.
The progression is inevitable. Every observable phenomenon generates a signal. A number. A word. An image. A pattern. Oracom's architecture treats them all the same way: a value, a timestamp, a source, and a proof.
The question "does tree cover in a city correlate with mental health outcomes?" requires three things: satellite imagery converted to a coverage index, health outcome data converted to an index, and a phase correlation engine to find the relationship. All three exist today. Nobody has connected them publicly at this scale.
The question "what public data historically predicts lower cancer risk in a region?" requires EPA air quality indexes, CDC health outcome data, USDA food access indexes, and enough compute to find the correlations. All public. All free. All waiting to be connected.
This is not prediction. This is evidence. Verifiable. Provable. Available to anyone.
Oracom is building toward something larger than a data platform. The indexes are the raw material. The correlation engine is the tool. The proof layer is the credential.
Will your sports team win tonight? Here are the eight indexes that have historically predicted this matchup's outcome.
Will your sector outperform next quarter? Here are the five leading indicators that have preceded sector performance by 90 days at 70%+ correlation over the past decade.
Where should your company expand? Here are the composite indexes tracking labor supply, housing formation, infrastructure investment, migration flows, and economic health across 200 metropolitan areas.
Oracom never tells you what to do. Oracom tells you what the data has historically suggested — at what confidence level, at what lag, verified and provable by anyone, forever.