Solscan Now Supports Full Historical Data Search

Ha Hoang -

Full Solana History, Structured and Filterable

Solana full historical data is now indexed across raw and decoded activity on Solscan. A structured, ready-to-use index layer for the full history of Solana. We gives you USD-valued history and pre-decoded DeFi activity across major Solana platforms, so you can query the exact slice you need without price-hunting or manual decoding across.

What’s new

Solscan now exposes indexed historical data in a way that is easier to query, easier to filter, and easier to consume across the main transaction surfaces.

The raw transaction view of account, token and program page on Solscan now lets you inspect historical activity with filters on time, address, token involved, and program involved, so you can quickly narrow the dataset without scanning the full chain history.

The transfer and activity views go one step further by adding semantic filters such as transfer value and action, which makes it easier to work with token flows, decoded behaviors, and protocol-level activity instead of raw payloads only.

  • Raw transaction tab — filter by time, address, token involved, program involved
  • Transfer tab — filter by time, address, token involved, program involved, transfer value, action
  • Activity tab — filter by time, address, token involved, program involved, transfer value, action

Filters available

  • Addresses — match transactions where any accountKey in the transaction matches a watched address
  • Time — filter transactions by a specific time range all way back to genesis
  • ProgramIds — filter to transactions invoking specific Solana programs
  • TokenAddresses — filter to transactions involving specific SPL tokens, matched via pre / postTokenBalances
  • Values — filter by transfer amount or value range
  • Actions — filter by decoded activity type, such as swap, transfer, or LP-related activity

Use cases

Full historical data is most useful when users need to search by intent, not by raw transaction noise. Instead of scanning every signature and decoding each payload manually, they can ask for the exact slice of history they care about.

  • Wallet activity tracking becomes simpler, because users can filter by token or program and focus only on the transactions that matter.
  • For DEX and DeFi position monitoring, programId filters make it easy to isolate swaps, LP changes, and other decoded actions.
  • Token transfer tracking and token research become more precise when users can filter by mintAddresses and transfer values to follow token movement and high-value flows.
  • Bots, alerts, and AI agents can use the indexed history as a cleaner input layer, then react to swaps, program interactions, and large transfers without decoding raw transactions first.
  • Tax, PnL, and compliance workflows benefit as well, since filtered historical data gives teams a structured source of truth for reporting and audit logic.