Data collection and normalization

Qoory’s data pipeline separates collection, normalization, identity resolution, enrichment, search indexing, and presentation. This lets each stage be checked without treating one source response as a finished research record.

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1. Collect

Scheduled pipelines collect structured entity data, market and DeFi observations, public filings, news, social evidence, GitHub activity, events, funding, and selected on-chain data.

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2. Normalize

Source-specific fields are converted into Qoory types, units, timestamps, and nullable values. Only normalized fields needed by a product or documented API response are presented to users.

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3. Resolve

Records are matched to stable projects, tokens, people, funds, X accounts, stocks, news clusters, narratives, or events. Ambiguous records can remain unlinked until more evidence is available.

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4. Enrich and connect

Qoory adds derived relationships and bounded classifications, such as a token’s project, a person’s role, a fund’s participation in a round, or a news story’s entity links.

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5. Index and score

Search documents and ranking signals are refreshed from normalized records. Search relevance, long-term ranking, and short-window momentum are different mechanisms and should not be interpreted as one universal quality score.

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6. Present with context

The app and API return purpose-built response shapes rather than complete source or storage records. Each surface includes only the fields needed for the documented research workflow.