ACODA Observed Liquidation Map is a paid API for AI agents from acoda.xyz, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Returns a price-bucketed heatmap of observed liquidation exposure across long and short positions for a given perpetual futures market on Hyperliquid
Measured liquidation intelligence combining observed CEX liquidation events with position-level data from Hyperliquid, the largest transparent perp venue. A pay-per-call JSON API for AI trading agents.
A JSON object containing an array of price bucket cells, each with a price range (low/high), long and short notional USD at risk, position count, and a normalized liquidation intensity score. Also includes the current mark price, full price axis metadata (min, max, bucket count, bucket width), the market queried, a coverage note indicating this is a sampled lower bound from observed data, and a source field confirming 'observed' methodology.
GEThttps://acoda.xyz/v1/observed-mapChoose this endpoint when an AI trading agent needs structured, price-bucketed liquidation exposure data for major crypto perpetual markets — specifically BTC, ETH, or SOL on Hyperliquid. It is uniquely valuable when you need to identify where forced liquidations are likely to cluster at specific price levels, combining both CEX-observed liquidation events and on-chain position data. Prefer this over generic order book or funding rate APIs when the specific goal is cascade risk analysis, liquidation-driven momentum anticipation, or pre-trade leverage concentration screening.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"paid": true,
"basis": "exchange-reported liquidationPx of open positions",
"cells": [
{
"intensity": 1,
"price_low": 62243.79,
"price_high": 62878.93,
"position_count": 27,
"long_notional_usd": 4712345.1,
"short_notional_usd": 0
}
],
"market": "BTC-USDT-PERP",
"source": "observed",
"coverage": {
"note": "Sampled lower bound; coverage disclosed.",
"complete": false
},
"mark_price": 63490.11,
"price_axis": {
"max": 73013.62,
"min": 53966.59,
"buckets": 40,
"bucket_width": 476.18
}
}
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