Every trade and curve reserve change on the Boop launchpad, decoded and USD-priced at block time.
Coverage
Full historyto Sep 23, 2026 · yesterday
Tables
2Parquet, one prefix each
Columns
146across 2 tables
Coverage ends yesterday, UTC
Overview
Complete historical record of the Boop launchpad program (boop8hVGQGqehUK2iVEMEnMrL5RbjywRzHKBmBE7ry4) on Solana: every trade and every curve reserve change, at slot resolution.
Trades are decoded from the program instructions and priced in USD at block time, and each curve event carries both the change amount and the resulting reserve for base and quote tokens — the same schema used across every Solana DEX dataset here, so Boop joins directly against the others on mint address, market address, slot or signature.
Use cases
Coverage of a niche launchpad that mainstream analytics tools omit entirely
Early-buyer identification on individual launches
Curve price and reserve reconstruction at any slot
Completing a cross-launchpad panel alongside Pump.fun, Raydium Launchpad, Meteora DBC and Moonshot
2 tables
146 columns · free sample for each table
boop_trades
82 columns
One row per trade executed against a Boop curve, with buy and sell sides, token metadata and USD pricing.
datashare/solana/boop/dex_trades<start_slot>_<end_slot>.parquetwider slot spans than other datasets because activity is sparse
Send this dataset’s full schema to an assistant and ask it anything. It reads the plain-text brief ↗ first, so the answer comes from the real column list rather than a guess.
Opens a new chat with the question filled in. Nothing about you is sent to Bitquery, and the assistant sees only the public brief.
Delivery
Parquet files, delivered as signed download links by email after payment, in this layout:
# boop_trades — wider slot spans than other datasets because activity is sparse
datashare/solana/boop/dex_trades<start_slot>_<end_slot>.parquet# boop_pools — wider slot spans than other datasets because activity is sparse
datashare/solana/boop/dex_pools<start_slot>_<end_slot>.parquet
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Get signed linksThe team prepares the export and emails the links.
Time windows
Every window includes all 2 tables and 146 columns. Only the time range changes.
Two Parquet tables: boop_trades and boop_pools, with 146 documented columns. Full history to yesterday, refreshed daily.
How much activity does Boop see?
Very little, and it should be bought with that in mind. Whole-day counts from the archive: none on 1 July 2025, 18 trades on 1 December 2025, 2 on 1 February 2026, 4 on 1 April 2026. This is a completeness dataset for cross-launchpad work, not a high-volume feed.
Which day does the sample come from?
1 December 2025, the busiest day found while surveying the program. It is split across two files by slot range and holds 12 successful trades and 12 curve events in total.
Why does the sample show 12 trades when the day had 18?
Every dataset here filters to successful transactions. The other six on that day were failed transactions, which are excluded.
How is the data delivered?
As flat Parquet files under a stable S3 layout, one prefix per table, with a JSON manifest listing every file and its sha256. Signed HTTPS links are emailed to you once the files are prepared.
How current is the data?
Refreshed daily with T+1 latency. A purchase made today includes everything up to yesterday.
Can I try before I buy?
Yes. Every table links to a public sample file with real records, and the sample bucket holds full Parquet files you can load directly. No email address required.
