Data categories
Nine categories, one asset identity. Every page below states what the data is, where it conceptually comes from, how often it changes, which fields exist and where it stops being reliable.
Price, market capitalisation, 24h volume, volatility, market dominance and supply figures.
Social dataSocial volume, interactions, social dominance and platform-level community counts.
Sentiment dataAn aggregated asset-level sentiment measure derived from classified social posts.
News dataAggregated crypto and macro news, deduplicated, summarized and timestamped.
Ecosystem dataCommunity growth, repository activity, contributor counts and topic mentions over time.
Developer activityPublic repository metrics: commits, contributors, issues, pull requests, stars and forks.
Narrative dataHourly clustered topic snapshots with a category, a source count and a summary.
Asset metadataCanonical asset identities: identifiers, symbols, names and cross-provider mapping.
Historical dataThe full retained time series behind every category above, for research and backtesting.
Coverage is not uniform across categories, and we do not present it as if it were. Market, social and sentiment cover a broad hourly snapshot of 1,000 assets. Ecosystem and developer activity are daily series for a curated set of 69 assets. News and narratives are market-wide rather than per-asset. All figures on this site were measured on 2026-08-31.
The path a value takes
Nothing reaches an application straight from a provider. Each value passes through identity resolution, unit and schema normalization, validation, and then storage as an immutable observation with the timestamp it belongs to. That is what makes two different categories comparable on the same asset at the same hour.
Each stage is documented in infrastructure.