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ByKaranteli Execution Slippage History
x402
ByKaranteli Execution Slippage History is a paid API for AI agents from bykaranteli.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-09-14).
Returns hourly execution slippage ladder snapshots per symbol, showing what a given order size would actually cost against the live order book at each recorded hour.
Price / call$0.002
Success—
StatusUnknown
How this service works
Track verified crypto futures signals with live win rate, profit factor, funding data, and liquidation maps. Deterministic, auditable, operator-first.
Output
Returns a JSON object with an 'ok' flag, a 'rows' array of hourly slippage ladder records (each containing symbol, venue, order size buckets, and their corresponding execution cost estimates), a 'count' of returned rows, and a 'dataset' identifier string. Rows are filtered by symbol, exchange, currency, and time window as specified.
Example use cases
Backtest market impact model
“Get me the hourly slippage history for ETHUSDT on Binance for all of December 2024, up to 500 rows — I need to see what large ETH orders would have actually cost against the live book each hour to calibrate my market impact model.”
Compare execution costs across venues
“Fetch execution slippage ladder data for SOLUSDT from the past 30 days and filter by Bybit, so I can compare what a 50k USD SOL order would have cost there versus what I was seeing on OKX.”
Detect liquidity deterioration events
“Pull the slippage history for BTCUSDT from March 10 to March 15, 2024 — I want to identify any hours where execution costs spiked dramatically, signaling a major liquidity crunch in the order book.”
Technical details
Endpoint
GEThttps://bykaranteli.com/api/x402/slippage-historyWhen to prefer
Choose this endpoint when you need historical, time-series execution slippage data at hourly granularity to backtest market impact models, calibrate trading algorithms, or analyze how execution costs have evolved for specific crypto symbols and venues. It is the right choice over live order book snapshots when you need reproducible historical cost data rather than current conditions, and over generic OHLCV bars when you specifically need order-size-dependent execution cost curves rather than price data.
Side effects
- Missing required 'symbol' parameter may return empty rows or an error
- Time window too large may be capped by the per-dataset row limit
- Unknown or unsupported symbol/exchange combination returns empty rows
- Invalid date format for 'from' or 'to' parameters causes a parse error
- Limit exceeding the dataset cap is silently clamped to the maximum allowed value
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"rows": [],
"count": 500,
"dataset": "slippage-history"
}
}Tags
x402
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