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Allium’s Geographic Intelligence schema provides country-level attribution and timezone inference for blockchain addresses, plus weekly USDC/USDT flow analysis by entity and country — enabling compliance monitoring, regional analysis, and cross-border flow insights. master_list classifies 80M+ addresses across 12 chains; ~20M of those (~25%) receive a country attribution in addresses_geography.
Geographic attribution uses flow-based wallet relatedness propagation and multi-signal inference. A conviction level indicates attribution quality. Not every address can be attributed — see Geo-Measurability.

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Schema Location

All tables are in the allium_identity.geo schema in Snowflake, across three groups:
  • Core classification — master_list, addresses_geography, addresses_timezones, coverage_summary
  • Exchange attribution — exchange_country_attribution (local/regional exchanges), exchange_gravity_weekly (global exchanges)
  • Flow analysis (USDC/USDT) — entity_flows_weekly, country_corridors_weekly, country_corridors_distributed_weekly
Chain coverage. master_list and coverage_summary carry per-chain rows for all 12 supported chains (ethereum, polygon, arbitrum, base, optimism, bsc, avalanche, linea, scroll, blast, tron, solana). addresses_geography and addresses_timezones collapse EVM chains into a single evm value, so their chain column is one of evm, solana, or tron (see the join caveat).

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Data Flow Architecture

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Tables

See the Table Reference for full column-level schemas and example queries.

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Next Steps

Geo-Measurability

Why hosted and unhosted wallets differ, and what makes an address measurable

Table Reference

Full column-level schema for every table

Example Queries

Compliance, regional analysis, exchange gravity, and cross-border flow recipes

Field Values Reference

Data dictionary, data quality, and best practices