Polygon Transfers

One Parquet table with 24 columns: every native POL and token transfer on Polygon, one row each, with sender, receiver, amount, token metadata, the transaction it settled in and the fee. Internal transfers of POL made by contract calls are included.

About 28.9 billion rows and 1.69 TiB across 77 monthly partitions. The last 24 months hold about 19.4 billion of them and the last 12 months about 14.9 billion. Figures are approximate until the delivery manifest is generated.

To the start of indexed history: from 30 May 2020, when the PoS chain started, at block 447. The Full window runs from there to yesterday.

Only six currencies have a price history on Polygon: POL (formerly MATIC), WPOL, WETH, USDT, DAI and the bridged USDC.e. Circle's native USDC has no series yet. In a recent six-hour window that priced about 22% of rows; the rest is mostly airdrop and spam tokens. The free sample was priced from a wider short-term source, so it shows more USD values than a delivered file will. A value of 0 means either a $0 transfer or no price; the column cannot tell them apart.

Transfer_Amount is decimal adjusted. Multiply it by 10 to the power of Transfer_Currency_Decimals for the raw on-chain integer. We ship the adjusted value because decimals differ per token and the raw figure is wrong without them.

Amounts are decimal strings, so casting to float loses precision on large values. Symbols and names repeat, and lookalike tokens copy them, so join on the contract address. Failed transactions are kept, so filter TransactionStatus_Success for settled flow. Zero-value transfers are common: they are address-poisoning attempts, not real movement. The S3 prefix is matic/transfers, the chain's name before the rebrand to POL.

Filter Transfer_Currency_SmartContract to the token's contract, lower case with 0x. For native POL alone, filter Transfer_Currency_Native to true; its contract column holds the string 0x.

One line in DuckDB: SELECT * FROM read_parquet('transfers/*.parquet') LIMIT 10. Pandas works too: pandas.read_parquet(path). The sample file opens without credentials.

Refreshed daily with T+1 latency, so a purchase made today includes everything to yesterday. Delivered as Parquet named by block range, 50 blocks per file and sorted ascending, under a stable S3 layout with a JSON manifest listing every file and its sha256. Signed HTTPS links are emailed once the files are prepared.