Nanosecond level time accuracy
DataSanel is a new generation Web3 market data platform, Provide high-precision, verifiable, and customizable real-time and historical data services for individual developers and institutions.
Provide millisecond level market reconstruction capability to reproduce the depth of real market trends.
Standardized data formats help build investment research systems and Web3 data services.
Verifiable time and transaction data, supporting compliance review and transaction tracking
In the encrypted world of information overload, Data Panel makes data understandable, traceable, and tradable again.
Nanosecond level time accuracy
Covering mainstream exchanges
Massive historical data
| lcTsNs | exSeq | binance_usdt_swap@btc_usdt*bp | binance_usdt_swap@btc_usdt*bq | binance_usdt_swap@btc_usdt*ap | binance_usdt_swap@btc_usdt*aq | |
|---|---|---|---|---|---|---|
| 1 | 1758931442470000000 | 0 | 109559.7 | 0.628 | 109559.8 | 17.096 |
| 2 | 1758931442475000000 | 0 | 109559.1 | 0.002 | 109559.3 | 3.307 |
| 3 | 1758931442481000000 | 0 | 109559.1 | 0.002 | 109559.3 | 5.363 |
| 4 | 1758931442486000000 | 0 | 109558.4 | 0.053 | 109558.5 | 1.467 |
| 5 | 1758931442495000000 | 0 | 109557.3 | 0.004 | 109557.6 | 3.023 |
| 6 | 1758931442500000000 | 0 | 109557.3 | 0.005 | 109557.6 | 9.462 |
| 7 | 1758931442505000000 | 0 | 109557.3 | 0.007 | 109557.4 | 18.41 |
| 8 | 1758931442513000000 | 0 | 109557.3 | 0.012 | 109557.4 | 19.55 |
| 9 | 1758931442521000000 | 0 | 109557.3 | 0.013 | 109557.4 | 20.675 |
| 10 | 1758931442526000000 | 0 | 109557.3 | 0.016 | 109557.4 | 28.06 |
| lcTsNs | exSeq | Bp1 | Bq1 | Bp2 | Bq2 | Bp3 | Bq3 | Bp4 | Bq4 | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1760054400908000000 | 1760054400737000000 | 4.0738 | 43.2 | 4.0734 | 368.2427 | 4.0729 | 43.2 | 4.0728 | 1220.28 |
| 2 | 1760054402907000000 | 1760054402603000000 | 4.0738 | 43.2 | 4.0734 | 368.2427 | 4.0729 | 43.2 | 4.0728 | 1220.28 |
| 3 | 1760054403908000000 | 1760054403794000000 | 4.0743 | 43.2 | 4.0739 | 368.1975 | 4.0729 | 43.2 | 4.0728 | 1220.28 |
| 4 | 1760054404908000000 | 1760054404297000000 | 4.0748 | 43.2 | 4.0744 | 368.1523 | 4.0743 | 43.2 | 4.0729 | 43.2 |
| 5 | 1760054405907000000 | 1760054405885000000 | 4.0748 | 43.2 | 4.0744 | 368.1523 | 4.0743 | 43.2 | 4.0729 | 43.2 |
| 6 | 1760054406908000000 | 1760054405926000000 | 4.0748 | 43.2 | 4.0744 | 368.1523 | 4.0743 | 43.2 | 4.0729 | 5057.3695 |
| 7 | 1760054407907000000 | 1760054407274000000 | 4.0748 | 43.2 | 4.0744 | 368.1523 | 4.0743 | 43.2 | 4.0729 | 5057.3695 |
| 8 | 1760054408907000000 | 1760054408732000000 | 4.0748 | 43.2 | 4.0744 | 368.1523 | 4.0743 | 43.2 | 4.0729 | 5057.3695 |
| 9 | 1760054409908000000 | 1760054409492000000 | 4.0762 | 43.2 | 4.0758 | 411.2259 | 4.0754 | 246.24 | 4.0753 | 43.2 |
| 10 | 1760054410907000000 | 1760054410694000000 | 4.0771 | 43.2 | 4.0767 | 411.1446 | 4.0763 | 246.24 | 4.0762 | 43.2 |
available individual trade data points
WebSocket messages collected per second
of new market data received daily
available tick-level order book L2 updates
of high-frequency historical market data
API requests handled per day
high-frequency data history
spot, perp, futures and options instruments
avg. historical data completeness
The market is filled with passively captured and unverified market data. We refactor from the bottom layer to transform data from "records" to "assets".
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