Pump.fun Data

Bitquery provides Pump.fun data dumps in Parquet format, designed for large-scale analytics, historical backfills, and data lake integrations. These datasets can be hosted directly in your own cloud storage (for example, AWS S3) and queried using engines like Snowflake, BigQuery, Athena, Spark, etc.

For the real-time and query-based version of this dataset (GraphQL, WebSocket, gRPC), see the Pump.fun API product page.

Available Pump.fun Topics

For Pump.fun, Bitquery currently provides the following datasets:

• Creation & Migration Events – Pump.fun token creation and migration events

• DEX Trades – Executed trades on Pump.fun

• DEX Pools – Liquidity pool metadata and activity

• OHLCV – Open/High/Low/Close/Volume candles per token

Sample Pump.fun Cloud Dataset

You can explore schemas and validate your tooling using the public Pump.fun sample datasets:

GitHub reference (schemas & examples)
https://github.com/bitquery/blockchain-cloud-data-dump-sample/tree/main/solana

Sample Parquet downloads (public S3)

• Creation & Migration Events – Download

• DEX Trades – Download

• DEX Pools – Download

• OHLCV – Download

Pump.fun Dataset Directory Structure

bitquery-blockchain-dataset/
├── solana/
│   ├── pumpfun_creation_migrations/
│   │   ├── 2026-07-01.parquet
│   │   ├── 2026-07-02.parquet
│   │   └── 2026-07-03.parquet
│   └── dex_trades/
│       └── pumpfun/
│           ├── 390740000_390740049.parquet
│           ├── 390740050_390740099.parquet
│           ├── 390740100_390740149.parquet
│           └── 390740150_390740199.parquet
└── Pumpfun_Sample/
    ├── dex_pools/
    │   ├── 415261250_415261499.parquet
    │   ├── 415261500_415261749.parquet
    │   ├── 415261750_415261999.parquet
    │   └── 415262000_415262249.parquet
    └── ohlcv/
        └── <MintAddress>.parquet

File Naming Conventions

Path and naming differ per topic:

• Creation & Migration Events – solana/pumpfun_creation_migrations/, partitioned by date, <YYYY-MM-DD>.parquet. Each file contains both creations (create / create_v2) and migrations (migrate / migrate_v2):

2026-07-01.parquet

• DEX Trades – solana/dex_trades/pumpfun/, partitioned by slot range, <start_slot>_<end_slot>.parquet:

390740000_390740049.parquet

• DEX Pools – Pumpfun_Sample/dex_pools/, partitioned by slot range, <start_slot>_<end_slot>.parquet:

415261250_415261499.parquet

• OHLCV – Pumpfun_Sample/ohlcv/, one file per token, named by the token mint address, <MintAddress>.parquet:

2ra5idczuCQhDe1U5D52G8Rms6hzHuHeTqP51fdHpump.parquet

Get Full Access

The full dataset is delivered into your own cloud storage (S3, GCS) or warehouse share (Snowflake, BigQuery). To buy or trial it, go to the Bitquery Data Store, fill the API form or contact sales@bitquery.io.

Datasets you can buy on the Data Store:

• Pump.fun — bonding-curve trades, token creations, migrations, pools and OHLCV
• PumpSwap — trades on the AMM that Pump.fun tokens migrate to

Reading Files with DuckDB

No key, no client library — point DuckDB at the public sample directly:

SELECT *
FROM read_parquet('https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/solana/dex_trades/pumpfun/390740000_390740049.parquet')
LIMIT 10;

Reading Files in Python

import pandas as pd

df = pd.read_parquet("https://bitquery-blockchain-dataset.s3.us-east-1.amazonaws.com/solana/dex_trades/pumpfun/390740000_390740049.parquet")
print(df.info())
df.head()

Real-Time vs Batch Data Access

Cloud data dumps are optimized for batch analytics and historical workloads.

If you require low-latency or streaming Pump.fun data, Bitquery also provides:

• Kafka streams

• GraphQL subscriptions