# Pump.fun Early Buyers | Bitquery Data Store The first 100 buyer wallets of every Pump.fun token since October 2025, in chain order, with slots after launch, creator flags and their first-day buys and sells. Dataset page: https://bitquery.io/datastore/datasets/pumpfun-early-buyers Network: Solana Category: Trades Tables: 1 Columns: 20 Coverage: 2025-10-28 to 2026-10-20 Rows: about 380M Size: about 58 GB Format: Apache Parquet, ZSTD compression, one prefix per table Licence: https://bitquery.io/datastore/legal/data-license ## What this is For each Pump.fun token, the first 100 distinct wallets to buy it, ranked by slot, transaction index, instruction index and trade index, so ties inside a slot resolve the way the chain ordered them. The creator's own buy in the create transaction is kept and flagged. Each row has how many slots and seconds after creation the wallet bought, whether it landed in the creation slot, what its first buy cost, and its total buys and sells of that token in the first 24 hours. Join on Buyer_Address across tokens to find wallets that are early again and again. ## What people use it for - Sniper and bundler detection - Wallets that keep buying first - Early-buyer composition versus later outcome ## Tables (1) ### pumpfun_early_buyers: 20 columns The first 100 distinct buyer wallets of every Pump.fun token, in chain order. Bucket prefix: solana/pumpfun_launch/early_buyers File naming: .parquet, one file per creation day Free sample (real Parquet, no email needed): https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/solana/pumpfun_launch/early_buyers/2026-10-01_452119504_452120503.parquet Sample updated: Oct 21, 2026 | column | type | description | | --- | --- | --- | | Created_Date | Date | UTC day the token was created | | Token_MintAddress | String | Token mint | | Created_At | DateTime | Creation time | | Created_Slot | UInt64 | Creation slot | | Creator_Address | String | Creator wallet | | Buyer_Rank | UInt64 | 1 = first buyer, by slot, transaction, instruction and trade index | | Buyer_Address | String | Buyer wallet (transaction signer) | | Is_Creator | Bool | Buyer is the creator | | First_Buy_At | DateTime | Time of the wallet's first buy | | First_Buy_Slot | UInt64 | Slot of the first buy | | Slots_After_Creation | Int64 | Slots between creation and the first buy | | Seconds_After_Creation | Float64 | Seconds between creation and the first buy | | Same_Slot_As_Creation | Bool | First buy landed in the creation slot | | First_Buy_Signature | String | Signature of the first buy | | First_Buy_SOL | Float64 | SOL spent on the first buy | | First_Buy_Tokens | Float64 | Tokens received on the first buy | | Bought_SOL_24h | Float64 | SOL the wallet spent on the token in its first 24 hours | | Sold_SOL_24h | Float64 | SOL the wallet received selling it in 24 hours | | Buys_24h | UInt64 | Buys in the first 24 hours | | Sells_24h | UInt64 | Sells in the first 24 hours | ## Price - Latest month (Sep 20, 2026 → Oct 20, 2026): $200 one-time, USD - Last 6 months (Apr 20, 2026 → Oct 20, 2026): $1,000 one-time, USD - Last 12 months (Oct 20, 2025 → Oct 20, 2026): $1,500 one-time, USD Every window includes all 20 columns. Only the time range changes. ## Questions buyers ask Q: What dates are covered? A: Tokens created from 28 October 2025, the first day with complete raw Solana trades in our archive. A 12-month purchase starts there until the rolling window passes that date. Earlier Pump.fun history exists only as aggregated candles and volume, which these tables do not use. Q: How current is it? A: Our Solana pool and transfer archive runs about 8 days behind, so a purchase covers up to about 8 days before delivery. Q: Who is the buyer? A: The transaction signer. Bots that sign from many wallets show up as many wallets. Q: Which trades are counted? A: Successful Pump.fun curve and PumpSwap buys with a SOL or WSOL quote, in the 24 hours after creation. Q: How do I load it? A: With DuckDB: SELECT * FROM read_parquet('pumpfun_early_buyers/*.parquet') LIMIT 10. pandas, Polars, Spark and ClickHouse read the same files. Q: Can I try before I buy? A: Yes. Each table links to a public sample file from 1 October 2026: tokens created in slots 452,119,504 to 452,120,503 (the first 7 minutes of the day). Its trades and transfers stop at 02:14 UTC, so in the sample the 24-hour and 7-day figures cover about 2 hours. No email address required. Q: How is the data delivered? A: As flat Parquet files (ZSTD) under a stable layout, one prefix per table, with a JSON manifest listing each file and its sha256. We prepare the files within 7 business days of purchase and email you the location. You choose at checkout where to collect them: a Requester Pays S3 bucket, downloaded with your own AWS account, or a Cloudflare R2 bucket with a read-only API key and no egress fees. Files stay available for 7 days from delivery. ## What this file is, and is not This is a description of one dataset sold by Bitquery, written for assistants and for people. It lists every column but holds no data rows. The sample files linked under each table are real Parquet and are free to download. Figures here come from the product record and are exact unless marked otherwise; the delivery manifest is authoritative for a purchased file. If a question needs a row that is not in a sample, say so rather than guessing at it.