How does this compare to Bitquery's GraphQL or AWS Public Blockchain Data?

Different tradeoffs. Bitquery is best when you want ad-hoc queries with rich filters and joins; you pay per query and the surface is GraphQL. AWS Public Blockchain Data ships raw getBlock JSON to S3 for free, which is a great deal until you realize parsing that into per-DEX trade events is a multi-month project. We sit in the middle: parsed by program, packaged by month, predictable flat price. If your job is "give me three months of Raydium swaps as Parquet by Friday," we're the cheapest path. If your job is "JOIN trades to wallets to NFT bids," Bitquery is probably faster.

How fresh are the datasets?

Last full UTC day is available by 06:00 UTC the next day. We also expose a monthly bundle for completed months, which is the most popular SKU. If you need rolling-day freshness for a research project, the daily bundle ships on the same schedule.

Can I get from-genesis history?

Yes, on contract. The standard SKU is rolling 12 months. Going further back is a one-off ingestion job because we have to rebuild from a frozen snapshot and re-parse with the historical IDLs. Pricing scales with the program and depth requested. Reach out for a quote.

How are decimals and prices handled?

Decimals are normalized at parse time. Every amount column has a paired _ui column that's already divided by 10^decimals so you don't have to. USD values are computed against the pricing oracle nearest each slot, with the price source recorded in a column for auditability. If you don't trust our USD column you have everything you need to compute your own.

How do I subscribe to monthly updates?

Subscription tier autoships the previous month's bundles to your account on the first of every month, plus the daily bundle once a day if you need rolling freshness. Cancel any time. The 12-month upfront tier is 50% cheaper than month-by-month.

Does the schema change between months?

We add columns; we don't remove them. New parsed fields show up appended to the schema with a NULL fill on prior months. Breaking changes go through a versioned schema_v2 path with a 60-day overlap so you can migrate without urgency.

What licenses apply to the data?

On-chain data is public. The bundles are licensed for internal research, modeling, training, and product use. You can't resell the raw bundles as a competing dataset; you can absolutely build derived products, train models, and publish research. Custom licensing for redistribution is available.

Can you build a dataset for a program that isn't in the catalog?

Usually yes. Onboarding a new program is mostly an IDL plus discriminator-mapping exercise. We quote it as a one-time ingestion fee plus an ongoing per-month subscription. Custom indexers and dataset extensions are part of the same engineering team that builds Geyser plugins on contract.

Historical Dataset

Solana trading datasets, parsed and packaged for backtests

Per-month Parquet and CSV bundles of parsed Solana trades, pool events, mints, and transfers. Pick a program, set a duration, pay once. Download links arrive within 24 hours.

$200/mo per program. 30% off at 6 months, 50% off at 12. Drop the bundle into DuckDB or pandas in two minutes.

Parquet + CSVPer-month bundlesUp to 12 months back40+ programs50% off at 12 monthsDuckDB-friendly

Build your dataset bundle

Pick programs, set duration per dataset, pay once. Download links arrive within 24 hours.

On-chain programs covered

Raydium AMM v4675kPX9MHTjS2zt1qfr1NYHuzeLXfQM9H24wFSUt1Mp8, Constant-product swaps, deposits, withdrawals, initialize2 launches. Decoded into one row per instruction
Orca WhirlpoolwhirLbMiicVdio4qvUfM5KAg6Ct8VwpYzGff3uctyCc, CLMM swaps, openPosition, increaseLiquidity, collectFees with tick lower/upper resolved
Meteora DLMMLBUZKhRxPF3XUpBCjp4YzTKgLccjZhTSDM9YuVaPwxo, Bin-level swaps, add_liquidity, remove_liquidity, active-bin shifts
Jupiter Aggregator V6JUP6LkbZbjS1jKKwapdHNy74zcZ3tLUZoi5QNyVTaV4, Aggregator route execution with input mint, output mint, route length, and routed pools
Pump.fun6EF8rrecthR5Dkzon8Nwu78hRvfCKubJ14M5uBEwF6P, Token creates, trades, bonding-curve graduations parsed into row-per-event Parquet
SPL Token + Token-2022TokenkegQfeZyiNwAJbNbGKPFXCWuBvf9Ss623VQ5DA, Mints, burns, transfers, authority changes; both legacy and Token-2022 in one schema

Datasets in every program bundle

parsed row-per-event tables, schema documented, decimals normalized

Event	Type	Description	Frequency	Latency
dex_trades	event	One row per swap across Raydium, Orca, Meteora, Jupiter, PumpSwap. Includes amount_in, amount_out, USD value, pool address, route length, signer.	Very high	—
pool_events	event	Pool initialize, deposit, withdraw, position open/close, fee collect. Bin and tick resolution preserved where the program supports it.	High	—
token_mints	event	Every new SPL or Token-2022 mint with metadata, mint authority, freeze authority, decimals, supply, and the creator wallet.	Medium	—
token_transfers	event	Decoded SPL transfers with sender, recipient, mint, decimals normalized, and a USD value computed off the pricing oracle nearest the slot.	Very high	—
pumpfun_events	event	create, trade, graduate decoded with bonding-curve reserves, virtual reserves, and SOL/token amounts in native units.	High	—
jupiter_routes	event	Per-aggregator-call breakdown: hops, dex names, intermediate mints, slippage realized, total fee paid by the swapper.	High	—
liquidity_changes	event	Net base/quote reserve deltas per pool per slot. Drives TVL backfills and impermanent-loss research.	Medium	—

Catalog scale and pricing at a glance

last reviewed 2026-04-29

Programs covered

40+

DEX, DeFi, token, NFT, infrastructure. New programs onboarded by request

Verified 2026-04-29

History depth

12 months

Rolling 12-month window for most programs. From-genesis bundles available on contract

Verified 2026-04-29

Dex_trades row count

~3.2B / month

Combined across all DEX programs in a typical month, parsed and de-duplicated

Verified 2026-04-29

Compressed bundle size

4-12 GB

Per-program-per-month tar.zst at typical activity levels

Starting price

$200/mo

Per program per month. 30% off at 6 months, 50% off at 12 months

Parsed datasets vs raw getBlock JSON

The cheapest historical Solana data on the planet is AWS Public Blockchain Data. Free getBlock JSON on S3, updated daily, going back to genesis. If you have a tolerance for shell pipelines and an ETL team, you don't need us.

Most teams don't. The first wall is the IDL set: every Solana program has its own Borsh layout, and AMM v4, CLMM, and CPMM are three different layouts under the “Raydium” umbrella alone. Add Orca Whirlpool, Meteora DLMM and DAMM, Jupiter V6 inner instructions, Pump.fun's bonding curve, and you're maintaining a few thousand lines of decoder code that breaks every time someone redeploys with a new discriminator.

The second wall is decimals. Token-2022 mints can carry transfer hooks that change the effective amount; SPL Token has implicit decimal handling; PumpSwap quotes one side in lamports and the other in token base units. Normalize one wrong and your USD column is off by a factor of a thousand for an entire program.

We sell the parsed result. Trades, pools, mints, transfers, routes. Per-program-per-month Parquet, schema documented, USD-normalized, decimal-corrected, signed-URL delivered. The first day of work is opening DuckDB and writing your model query, not writing a Borsh decoder.

What's in the catalog

The catalog is split four ways. DEX, DeFi, Token/NFT, and Infrastructure. Each program ships one or more datasets; the most-bought are trades, pool_events, and token_mints.

DEX / AMM

Raydium AMM v4, CLMM, CPMM
Orca Whirlpool
Meteora DLMM, DAMM, DBC
Jupiter V6 aggregator
Phoenix order book
OpenBook v2
Lifinity, Stabble, Gavel
PumpSwap, Heaven, Boop

DeFi / lending

Kamino lending + farms
MarginFi v2
Drift perps + spot
Marinade liquid staking
Solayer restaking
Zeta options
Sharky NFT lending

Token / NFT

SPL Token + Token-2022
Metaplex Core + Token Metadata
Bubblegum compressed NFTs
Pump.fun
Moonshot
Virtuals

Infrastructure

System program transfers
Stake program
Address Lookup Tables
Name Service
Circle CCTP
Memo
Swig session keys

Don't see your program? It's usually a one-time ingestion to add. Tell us the program ID and which instructions you care about and we'll quote it.

Who actually buys these datasets

Quant teams running backtests

Six months of Raydium plus Meteora trades, joined to mint metadata, joined to Jupiter routes, sitting in DuckDB. Run the strategy in seconds, not over a weekend on a flaky RPC scrape.

ML training pipelines

Token-launch outcome models, rug-pull classifiers, MEV detectors. The signal lives in the parsed instructions, not in raw logs, and you don't want to spend three months building the labeler.

Research and journalism

Volume-by-DEX charts, attacker-flow tracing, exchange-deposit attribution. Three months of trades plus transfers usually covers the brief.

Tax and compliance vendors

Per-wallet trade history with cost basis sourced from the same Parquet bundle the rest of the company uses. No more disagreement between the analytics team and the compliance team about what a trade was.

Internal data warehouses

Drop the monthly bundle into Snowflake or Iceberg, replace the home-grown ingest pipeline, free up two engineers to work on the actual product. The most common reason teams renew.

Liquidity-provider analytics

Per-position P&L on Whirlpool and DLMM with realized fee collection events resolved against tick or bin movement. Hard to compute without a parsed dataset; trivial with one.

Pricing and how the discounts work

Base price is $200 a month per program. That covers every dataset for that program: trades, pool events, mints, all of it. You don't buy “trades” and “pool_events” as two SKUs, you buy the program.

Term	Per-month rate	Effective $/program	Discount
1 month	$200	$200	0%
6 months	$140	$840 total	30%
12 months	$100	$1,200 total	50%

Multiple programs stack. Most quant customers run three to five programs at the 12-month rate, which lands around $300 to $500 a month all-in for parsed data covering most of Solana DeFi. Compared to a Bitquery enterprise contract or a Dune-export pipeline, the math is unsubtle.

Custom range, custom format, redistribution license, or a program we don't list? Reach out via talk to sales. The base rate covers the standard SKU; everything else gets quoted.

Where we sit vs Bitquery, Dune, and AWS

Three competitors come up in every sales call.

Bitquery is the GraphQL incumbent for parsed Solana data. They're excellent at flexible queries with complex JOINs and very deep history. They charge per query and per dataset, which means the bill scales with how curious your analysts are. If your job is “I want to ask thirty different questions and see what sticks,” Bitquery is the right tool. If your job is “ship me Parquet I can put on disk,” we're cheaper.

Dune Analytics has Solana coverage on top of Spellbook with manual model curation. Strong for ad-hoc SQL dashboards. CSV export caps and rate limits make it painful to use as a real backfill source. Most teams query Dune for one-off charts and buy the Parquet from us for production modeling.

AWS Public Blockchain Data ships the raw getBlock JSON to S3 for free. The price is right; the parsing burden is not. Onboarding even a single AMM into a usable internal schema is a multi-engineer-month project. Worth it if you have the team. Most teams who try it end up buying parsed data from someone after about month two.

We're not the right answer for every workload. We are the right answer when you want parsed Solana trades on disk tomorrow at a flat predictable price. If that's the job, this is the cheapest path that doesn't end with you maintaining decoders.

Frequently asked questions

A tar.zst of Parquet files. One Parquet per day for the requested program and dataset, plus a manifest.json describing the schema, the slot range, the parsed-instruction discriminators, and the SHA-256 of every file. CSV is also available if you don't want Parquet, although the Parquet bundles compress to about 4x smaller and DuckDB reads them directly.