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  • What is this dataset?
  • Update frequencies
  • File structure details

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  1. Data Feeds
  2. Level 2 Tick-Level

Mints and burns

What is this dataset?

This data includes event data related to the addition (mint) and removal (burn) of tokens from a liquidity pool.

Update frequencies

Channel
Update frequency

AWS

New CSV once a day

Azure

New CSV once a day

Google Cloud Platform

New CSV once a day

Snowflake

Not available

BigQuery

Not available

File structure details

  • File Name: [kaiko_exchange_code]_[pool_address]_[date].csv

    • Files are created on a daily basis.

    • example: usp2_0xb4e16d0168e52d35cacd2c6185b44281ec28c9dc_2023-02-12.csv

  • Cut-off time: 00:00:00 UTC

    • We use the timestamp of the block in order to cut-off the data points between days.

  • Column Delimeter: , (comma)

  • Decimal Mark (in numbers): . (dot)

Field
Description
Example

block_number

The height of the block.

16028979

timestamp

The timestamp of the block.

1669161611000

datetime

The date equivalent.

2023-02-12T00:00:11Z

pool_name

Name of the pool as it is written on the blockchain.

USDC-WETH

type

Event type. By default both burn and mint are shown.

burn or mint

transaction_hash

Filter on a specific transaction hash.

0xe68b84740**

price

The price at this block.

0.0006495312950691

symbols

The symbols of the tokens in the pool, separated by a semi-colon.

USDC;WETH

addresses

The addresses of the tokens in the pool, separated by a semi-colon.

0xa0b86991c6218b36c1d19d4a2e9eb0ce3606eb48;0xc02aaa39b223fe8d0a0e5c4f27ead9083c756cc2

amounts

The amounts of liquidity of each token, separated by a semi-colon.

4.3800141550673e+07;28449.56266562047

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Last updated 2 months ago

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