| HOUR | TIMESTAMP_NTZ | Hour that the price was recorded at. |
| TOKEN_ADDRESS | TEXT | The specific address representing the asset on a specific platform. This will be NULL if referring to a native asset. |
| SYMBOL | TEXT | The symbol of asset. |
| NAME | TEXT | |
| DECIMALS | NUMBER | The number of decimals for the asset. May be NULL. |
| PRICE | FLOAT | Closing price of the recorded hour in USD. |
| BLOCKCHAIN | TEXT | The Blockchain, Network, or Platform for this asset. |
| IS_NATIVE | BOOLEAN | A flag indicating assets native to the respective blockchain. |
| IS_DEPRECATED | BOOLEAN | A flag indicating if the asset is deprecated or no longer supported by the provider. |
| IS_IMPUTED | BOOLEAN | A flag indicating if the price was imputed, or derived, from the last arriving record. This is generally used for tokens with low-liquidity or inconsistent reporting. |
| TOKEN_IS_VERIFIED | BOOLEAN | Boolean flag indicating whether the token or price record is verified by Flipside’s crosschain curation process. Verified tokens are prioritized for analytics and are considered reliable for most use cases. Unverified tokens may be incomplete, deprecated, or experimental. |
| EZ_PRICES_HOURLY_ID | TEXT | Unique identifier for the token metadata record, linking metadata to on-chain token types. Used for metadata management, registry operations, and analytics joins. Example: ‘tokenmeta_123’. |
| INSERTED_TIMESTAMP | TIMESTAMP_NTZ | Timestamp when the record was inserted into the analytics database. System-generated by the ETL pipeline, typically in TIMESTAMP_NTZ format. Used for data lineage, ETL monitoring, and freshness checks. In Sui analytics, this field is essential for tracking data ingestion latency, validating pipeline health, and supporting incremental model builds. Example: ‘2024-06-01 12:34:56.789’. |
| MODIFIED_TIMESTAMP | TIMESTAMP_NTZ | Timestamp when the record was last modified in the analytics database. System-generated for change tracking, data versioning, and consistency verification. In Sui, this supports incremental processing, late-arriving data correction, and auditability of analytics workflows. Used to monitor data staleness and trigger downstream updates. Example: ‘2024-06-01 12:34:56.789’. |