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L2 Order Book Liquidity

Total bid/ask depth aggregated over 5, 10, 20, 25 order book levels — instantaneous and interval-averaged.

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ask_agg_25_avg

Avg Ask Aggregate (25 levels)

Average Ask Aggregate across twenty-five levels smooths the deeper sell-side book over the interval.

That makes it a regime measure for how much overhead liquidity the market was consistently showing, not just flashing moment to moment.

bid_agg_25_avg

Avg Bid Aggregate (25 levels)

Average Bid Aggregate across twenty-five levels provides the broad matching view of displayed support.

Stronger readings indicate a deeper cushion of resting liquidity that can absorb pressure before the book thins out materially.

Top-of-book metrics capture only the frontier of the limit order book. The deeper levels — where the bulk of resting liquidity sits — tell you about market resilience: the ability to absorb large orders without significant price displacement.

Endpoint

/api/v1/data/l2_liquidity

Category

L2 (Order Book)

Intervals
1m5m15m30m1h4h1d
Requires Institutional
15s30s
Exchanges
binance-futuresokx-perps
Fields16
ask_agg_5Ask Aggregate (5 levels)Last total ask quantity across the top 5 levels
ask_agg_10Ask Aggregate (10 levels)Last total ask quantity across the top 10 levels
ask_agg_20Ask Aggregate (20 levels)Last total ask quantity across the top 20 levels
ask_agg_25Ask Aggregate (25 levels)Last total ask quantity across the top 25 levels
bid_agg_5Bid Aggregate (5 levels)Last total bid quantity across the top 5 levels
bid_agg_10Bid Aggregate (10 levels)Last total bid quantity across the top 10 levels
bid_agg_20Bid Aggregate (20 levels)Last total bid quantity across the top 20 levels
bid_agg_25Bid Aggregate (25 levels)Last total bid quantity across the top 25 levels
ask_agg_5_avgAvg Ask Aggregate (5 levels)Average total ask quantity across the top 5 levels in the interval
ask_agg_10_avgAvg Ask Aggregate (10 levels)Average total ask quantity across the top 10 levels in the interval
ask_agg_20_avgAvg Ask Aggregate (20 levels)Average total ask quantity across the top 20 levels in the interval
ask_agg_25_avgAvg Ask Aggregate (25 levels)Average total ask quantity across the top 25 levels in the interval
bid_agg_5_avgAvg Bid Aggregate (5 levels)Average total bid quantity across the top 5 levels in the interval
bid_agg_10_avgAvg Bid Aggregate (10 levels)Average total bid quantity across the top 10 levels in the interval
bid_agg_20_avgAvg Bid Aggregate (20 levels)Average total bid quantity across the top 20 levels in the interval
bid_agg_25_avgAvg Bid Aggregate (25 levels)Average total bid quantity across the top 25 levels in the interval
Example Request
from datetime import date
from aperiodic import get_metrics

# Free preview — no API key required
df = get_metrics(
    metric="l2_liquidity",
    exchange="binance-futures",
    symbol="perpetual-BTC-USDT:USDT",
    interval="5m",
    timestamp="exchange",
    start_date=date(2025, 5, 1),
    end_date=date(2025, 5, 31),
    preview=True,
)

print(df.head())

Query Parameters

timestampreqstring
string

Timestamp source. 'exchange' uses the exchange-reported timestamp, 'true' uses actual arrival time at our servers.

exchangetrue
intervalreqstring
string

Aggregation time interval for the data. Sub-minute intervals (15s, 30s) require a Tier 3 subscription.

15s30s1m5m15m30m1h4h1d
exchangereqstring
string

Source exchange for the data. Not available on this dataset: hyperliquid-perps.

binance-futuresokx-perps
symbolreqstring
string

Trading pair symbol in the format of Atlas' universal symbology: https://github.com/aperiodic-io/atlas

start_datereqstring<date>
string<date>

Start date for the data range (YYYY-MM-DD format). Data is partitioned by year and month.

end_datereqstring<date>
string<date>

End date for the data range (YYYY-MM-DD format). Must be greater than or equal to start_date.

Successful response with download URLs for every file covering the range — one per month before 2026-08-01, one per day from 2026-08-01 onwards

Schema
filesobject[]required

Files covering the requested date range, in chronological order. Data before 2026-08-01 is split by month (one file per calendar month, no `day`); data from 2026-08-01 onwards is split by day (one file per calendar day, with `day` set). The changeover falls on a month boundary, so a given month is served entirely one way or the other; a range spanning it returns the earlier months as monthly files followed by a daily file per day.

yearintegerrequired

Year of the data file

monthintegerrequired

Month of the data file (1-12)

dayinteger

Day of the data file (1-31). Present only on daily files, i.e. those covering 2026-08-01 onwards. Absent on monthly files, which cover an entire calendar month.

urlstring<uri>required

Presigned URL for direct file download (valid for 5 minutes). URLs are served from dataset-specific subdomains, e.g. ohlcv.aperiodic.io, trade-metrics.aperiodic.io, l1-metrics.aperiodic.io, l2-metrics.aperiodic.io, derivative-metrics.aperiodic.io.

Example
{
  "files": [
    {
      "year": 2026,
      "month": 6,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-06.parquet?X-Amz-Expires=300&..."
    },
    {
      "year": 2026,
      "month": 7,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-07.parquet?X-Amz-Expires=300&..."
    },
    {
      "year": 2026,
      "month": 8,
      "day": 1,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-08-01.parquet?X-Amz-Expires=300&..."
    },
    {
      "year": 2026,
      "month": 8,
      "day": 2,
      "url": "https://ohlcv.aperiodic.io/binance-futures/1h/BTCUSDT/2026-08-02.parquet?X-Amz-Expires=300&..."
    }
  ]
}
Try It

Prefilled with the shared DEMO-KEY and a free preview slice — send the request to see live data, no account required.

Suggestions shown — any valid value accepted
Suggestions shown — any valid value accepted
Suggestions shown — any valid value accepted
Authentication
GET/api/v1/data/preview/l2_liquidity?timestamp=exchange&interval=5m&exchange=binance-futures&symbol=perpetual-BTC-USDT%3AUSDT&start_date=2025-05-01&end_date=2025-05-31
Response will appear here

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Use with AI Agents

Access L2 Order Book Liquidity programmatically via our Python SDK and REST API — optimised for autonomous research workflows.

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Aperiodic

Crypto microstructure, liquidity & flow metrics — built from hundreds of terabytes of raw data, distilled into point-in-time metrics you can pull as parquet files.

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