[{"data":1,"prerenderedAt":4337},["ShallowReactive",2],{"doc:rest/liquidation-heatmap":3},{"slug":4,"filePath":5,"frontmatter":6,"rawMarkdown":9,"tree":10},"rest/liquidation-heatmap","rest/liquidation-heatmap.md",{"title":7,"description":8},"Liquidation Heatmap","Liquidation data aggregated by price level for heatmap rendering. Advanced and Enterprise tiers only.","---\ntitle: Liquidation Heatmap\ndescription: Liquidation data aggregated by price level for heatmap rendering. Advanced and Enterprise tiers only.\n---\n\n# Liquidation Heatmap\n\n\u003CEndpointBar method=\"GET\" path=\"/v1/points\">\u003C/EndpointBar>\n\n\u003CTypeHeader type=\"HYPERLIQUID_LIQUIDATION_AGG\" meta=\"Weight: 5x | Max points: 5,000 | Advanced/Enterprise only\">\u003C/TypeHeader>\n\nLiquidation data aggregated by price level for rendering liquidation heatmaps. Currently sourced from Hyperliquid exchange data.\nThis endpoint is coin-based. Query it with `coin` (for example `BTC`), not `rawSymbol` -- there is no exchange-native symbol parameter for Hyperliquid liquidation heatmaps.\nYou can omit `exchange` for this type. `HYPERLIQUID_LIQUIDATION_AGG` already aggregates across Hyperliquid for the requested coin.\n\n## Parameters\n\n| Parameter | Type | Required | Description |\n| --- | --- | --- | --- |\n| `maxDepth` | int | No | Maximum number of price levels. Default and included depth: 1500. |\n| `flatten` | bool | No | When `true`, returns `flat_points` (a single array of floats) instead of `points`. See Flattened response below. |\n| `transform.normalize.quote` | Normalize | No | Set to `USD` for USD-denominated levels. Default is coin values. |\n\n## Weight impact\n\nRequests above `maxDepth=1500` increase the depth multiplier by 20% for each additional 1500-level band. For example, `1501-3000` levels cost `1.2x` the base liquidation heatmap weight, and `3001-4500` levels cost `1.4x`. Lower values reduce payload size, but the multiplier does not go below `1.0x`.\n\n## Response fields\n\n| Field | Type | Description |\n| --- | --- | --- |\n| `levels` | double[] | Alternating `[price, liquidationVolume]` pairs, ordered ascending by price |\n| `timestamp` | Timestamp | Snapshot time |\n\nThe outer `id` metadata includes the requested `coin`. The point payload contains only `timestamp` and `levels`.\n\n## Examples\n\n### Standard query (coin values)\n\nFetches 1 hour of hourly liquidation heatmap data for BTC. This type is selected by `coin=BTC`, not by symbol, and does not require an `exchange` parameter. Returns up to 1,500 price levels (default `maxDepth`) showing where liquidation clusters are concentrated. Values are in coin terms.\n\n\u003CCodeTabs>\n\n\u003CCodePanel lang=\"curl\">\n\u003Cpre>\u003Cspan class=\"s-f\">curl\u003C/span> \u003Cspan class=\"s-s\">\"https://api.kiyotaka.ai/v1/points\u003C/span>\n    \u003Cspan class=\"s-p\">?type\u003C/span>=\u003Cspan class=\"s-s\">HYPERLIQUID_LIQUIDATION_AGG\u003C/span>\n    \u003Cspan class=\"s-p\">&coin\u003C/span>=\u003Cspan class=\"s-s\">BTC\u003C/span>\n    \u003Cspan class=\"s-p\">&interval\u003C/span>=\u003Cspan class=\"s-s\">HOUR\u003C/span>\n    \u003Cspan class=\"s-p\">&from\u003C/span>=\u003Cspan class=\"s-n\">1774800000\u003C/span>\n    \u003Cspan class=\"s-p\">&period\u003C/span>=\u003Cspan class=\"s-n\">3600\u003C/span>\u003Cspan class=\"s-s\">\"\u003C/span> \\\\\n  \u003Cspan class=\"s-k\">-H\u003C/span> \u003Cspan class=\"s-s\">\"X-Kiyotaka-Key: YOUR_API_KEY\"\u003C/span>\u003C/pre>\n\u003C/CodePanel>\n\n\u003CCodePanel lang=\"python\">\n\u003Cpre>\u003Cspan class=\"s-k\">import\u003C/span> \u003Cspan class=\"s-v\">requests\u003C/span>\n
\n\u003Cspan class=\"s-v\">response\u003C/span> = requests.\u003Cspan class=\"s-f\">get\u003C/span>(\n    \u003Cspan class=\"s-s\">\"https://api.kiyotaka.ai/v1/points?type=HYPERLIQUID_LIQUIDATION_AGG&coin=BTC&interval=HOUR&from=1774800000&period=3600 \"\u003C/span>,\n    headers={\u003Cspan class=\"s-s\">\"X-Kiyotaka-Key\"\u003C/span>: \u003Cspan class=\"s-s\">\"YOUR_API_KEY\"\u003C/span>}\n)\n\u003Cspan class=\"s-v\">data\u003C/span> = response.\u003Cspan class=\"s-f\">json\u003C/span>()\u003C/pre>\n\u003C/CodePanel>\n\n\u003CCodePanel lang=\"javascript\">\n\u003Cpre>\u003Cspan class=\"s-k\">const\u003C/span> \u003Cspan class=\"s-v\">response\u003C/span> = \u003Cspan class=\"s-k\">await\u003C/span> \u003Cspan class=\"s-f\">fetch\u003C/span>(\n  \u003Cspan class=\"s-s\">\"https://api.kiyotaka.ai/v1/points?type=HYPERLIQUID_LIQUIDATION_AGG&coin=BTC&interval=HOUR&from=1774800000&period=3600 \"\u003C/span>,\n  { headers: { \u003Cspan class=\"s-s\">\"X-Kiyotaka-Key\"\u003C/span>: \u003Cspan class=\"s-s\">\"YOUR_API_KEY\"\u003C/span> } }\n)\n\u003Cspan class=\"s-k\">const\u003C/span> \u003Cspan class=\"s-v\">data\u003C/span> = \u003Cspan class=\"s-k\">await\u003C/span> response.\u003Cspan class=\"s-f\">json\u003C/span>()\u003C/pre>\n\u003C/CodePanel>\n\n\u003C/CodeTabs>\n\n### USD-denominated\n\nSame query but with liquidation values converted to USD. Useful for comparing liquidation exposure across assets with different prices.\n\n\u003CCodeTabs>\n\n\u003CCodePanel lang=\"curl\">\n\u003Cpre>\u003Cspan class=\"s-f\">curl\u003C/span> \u003Cspan class=\"s-s\">\"https://api.kiyotaka.ai/v1/points\u003C/span>\n    \u003Cspan class=\"s-p\">?type\u003C/span>=\u003Cspan class=\"s-s\">HYPERLIQUID_LIQUIDATION_AGG\u003C/span>\n    \u003Cspan class=\"s-p\">&coin\u003C/span>=\u003Cspan class=\"s-s\">BTC\u003C/span>\n    \u003Cspan class=\"s-p\">&interval\u003C/span>=\u003Cspan class=\"s-s\">HOUR\u003C/span>\n    \u003Cspan class=\"s-p\">&from\u003C/span>=\u003Cspan class=\"s-n\">1774800000\u003C/span>\n    \u003Cspan class=\"s-p\">&period\u003C/span>=\u003Cspan class=\"s-n\">3600\u003C/span>\n    \u003Cspan class=\"s-p\">&transform.normalize.quote\u003C/span>=\u003Cspan class=\"s-s\">USD\u003C/span>\u003Cspan class=\"s-s\">\"\u003C/span> \\\\\n  \u003Cspan class=\"s-k\">-H\u003C/span> \u003Cspan class=\"s-s\">\"X-Kiyotaka-Key: YOUR_API_KEY\"\u003C/span>\u003C/pre>\n\u003C/CodePanel>\n\n\u003CCodePanel lang=\"python\">\n\u003Cpre>\u003Cspan class=\"s-k\">import\u003C/span> \u003Cspan class=\"s-v\">requests\u003C/span>\n
\n\u003Cspan class=\"s-v\">response\u003C/span> = requests.\u003Cspan class=\"s-f\">get\u003C/span>(\n    \u003Cspan class=\"s-s\">\"https://api.kiyotaka.ai/v1/points?type=HYPERLIQUID_LIQUIDATION_AGG&coin=BTC&interval=HOUR&from=1774800000&period=3600&transform.normalize.quote=USD \"\u003C/span>,\n    headers={\u003Cspan class=\"s-s\">\"X-Kiyotaka-Key\"\u003C/span>: \u003Cspan class=\"s-s\">\"YOUR_API_KEY\"\u003C/span>}\n)\n\u003Cspan class=\"s-v\">data\u003C/span> = response.\u003Cspan class=\"s-f\">json\u003C/span>()\u003C/pre>\n\u003C/CodePanel>\n\n\u003CCodePanel lang=\"javascript\">\n\u003Cpre>\u003Cspan class=\"s-k\">const\u003C/span> \u003Cspan class=\"s-v\">response\u003C/span> = \u003Cspan class=\"s-k\">await\u003C/span> \u003Cspan class=\"s-f\">fetch\u003C/span>(\n  \u003Cspan class=\"s-s\">\"https://api.kiyotaka.ai/v1/points?type=HYPERLIQUID_LIQUIDATION_AGG&coin=BTC&interval=HOUR&from=1774800000&period=3600&transform.normalize.quote=USD \"\u003C/span>,\n  { headers: { \u003Cspan class=\"s-s\">\"X-Kiyotaka-Key\"\u003C/span>: \u003Cspan class=\"s-s\">\"YOUR_API_KEY\"\u003C/span> } }\n)\n\u003Cspan class=\"s-k\">const\u003C/span> \u003Cspan class=\"s-v\">data\u003C/span> = \u003Cspan class=\"s-k\">await\u003C/span> response.\u003Cspan class=\"s-f\">json\u003C/span>()\u003C/pre>\n\u003C/CodePanel>\n\n\u003C/CodeTabs>\n\n### Response\n\n\u003CCodeBlock lang=\"JSON\">\n\u003Cpre>{\n  \u003Cspan class=\"s-p\">\"series\"\u003C/span>: [\n    {\n      \u003Cspan class=\"s-p\">\"id\"\u003C/span>: {\n        \u003Cspan class=\"s-p\">\"type\"\u003C/span>: \u003Cspan class=\"s-s\">\"HYPERLIQUID_LIQUIDATION_AGG\"\u003C/span>,\n        \u003Cspan class=\"s-p\">\"interval\"\u003C/span>: \u003Cspan class=\"s-s\">\"HOUR\"\u003C/span>,\n        \u003Cspan class=\"s-p\">\"coin\"\u003C/span>: \u003Cspan class=\"s-s\">\"BTC\"\u003C/span>\n      },\n      \u003Cspan class=\"s-p\">\"points\"\u003C/span>: [\n        {\n          \u003Cspan class=\"s-p\">\"Point\"\u003C/span>: {\n            \u003Cspan class=\"s-p\">\"timestamp\"\u003C/span>: { \u003Cspan class=\"s-p\">\"s\"\u003C/span>: \u003Cspan class=\"s-n\">1774800000\u003C/span> },\n            \u003Cspan class=\"s-p\">\"levels\"\u003C/span>: [\u003Cspan class=\"s-n\">66210\u003C/span>, \u003Cspan class=\"s-n\">0.07923\u003C/span>, \u003Cspan class=\"s-n\">66220\u003C/span>, \u003Cspan class=\"s-n\">1.6482400000000001\u003C/span>, \u003Cspan class=\"s-n\">66230\u003C/span>, \u003Cspan class=\"s-n\">0.16869\u003C/span>, \u003Cspan class=\"s-o\">...\u003C/span>]\n          }\n        }\n      ]\n    }\n  ]\n}\u003C/pre>\n\u003C/CodeBlock>\n\n### How to read `levels`\n\n`levels` is a flat array of alternating price-volume pairs:\n`[price1, liquidationVolume1, price2, liquidationVolume2, ...]`\nSo:\n- `levels[0]` is the first price level\n- `levels[1]` is the liquidation volume at that price\n- `levels[2]` is the next price level\n- `levels[3]` is the liquidation volume at that next price\nPrices are ordered ascending. By default the liquidation volume is in coin terms; with `transform.normalize.quote=USD`, the volume values are USD-denominated instead.\n\n### Flattened response\n\nWhen `flatten=true`, the response replaces `points` with `flat_points` -- a single array of floats. Each point is encoded as:\n`[num_levels, timestamp_micros, price1, volume1, price2, volume2, ...]`\nWhere `num_levels` is the total number of price-volume pairs in that snapshot, `timestamp_micros` is the snapshot time in microseconds, and each price-volume pair represents one liquidation level. Multiple snapshots are concatenated back-to-back in the same array.\n\n\u003CCodeBlock lang=\"JSON\">\n\u003Cpre>{\n  \u003Cspan class=\"s-p\">\"series\"\u003C/span>: [{\n    \u003Cspan class=\"s-p\">\"id\"\u003C/span>: {\n      \u003Cspan class=\"s-p\">\"type\"\u003C/span>: \u003Cspan class=\"s-s\">\"HYPERLIQUID_LIQUIDATION_AGG\"\u003C/span>,\n      \u003Cspan class=\"s-p\">\"interval\"\u003C/span>: \u003Cspan class=\"s-s\">\"MINUTE\"\u003C/span>,\n      \u003Cspan class=\"s-p\">\"coin\"\u003C/span>: \u003Cspan class=\"s-s\">\"BTC\"\u003C/span>\n    },\n    \u003Cspan class=\"s-p\">\"flat_points\"\u003C/span>: [\n      \u003Cspan class=\"s-n\">4\u003C/span>, \u003Cspan class=\"s-n\">1.77608004e+15\u003C/span>,\n      \u003Cspan class=\"s-n\">70390\u003C/span>, \u003Cspan class=\"s-n\">0.53449\u003C/span>, \u003Cspan class=\"s-n\">70400\u003C/span>, \u003Cspan class=\"s-n\">0.00057\u003C/span>, \u003Cspan class=\"s-n\">70410\u003C/span>, \u003Cspan class=\"s-n\">8.36632\u003C/span>, \u003Cspan class=\"s-n\">70420\u003C/span>, \u003Cspan class=\"s-n\">0.04943\u003C/span>,\n      \u003Cspan class=\"s-n\">4\u003C/span>, \u003Cspan class=\"s-n\">1.7760801e+15\u003C/span>,\n      \u003Cspan class=\"s-n\">70300\u003C/span>, \u003Cspan class=\"s-n\">0.0077\u003C/span>, \u003Cspan class=\"s-n\">70310\u003C/span>, \u003Cspan class=\"s-n\">0.00027\u003C/span>, \u003Cspan class=\"s-n\">70350\u003C/span>, \u003Cspan class=\"s-n\">1.50843\u003C/span>, \u003Cspan class=\"s-n\">70370\u003C/span>, \u003Cspan class=\"s-n\">0.00486\u003C/span>\n    ]\n  }]\n}\u003C/pre>\n\u003C/CodeBlock>",{"type":11,"children":12,"data":4331,"position":4333},"root",[13,16,38,39,58,59,175,176,194,196,592,593,608,609,741,742,757,759,960,961,1047,1048,1063,1064,1081,1082,1154,1155,1994,1995,2010,2011,2025,2026,2826,2827,2842,2843,3335,3336,3362,3363,3405,3406,3544,3545,3561,3562,3683,3684],{"type":14,"value":15},"text","\n",{"type":17,"tagName":18,"properties":19,"children":20,"position":35},"element","p",{},[21],{"type":17,"tagName":22,"properties":23,"children":26,"position":27},"endpointbar",{"method":24,"path":25},"GET","/v1/points",[],{"start":28,"end":32},{"line":29,"column":30,"offset":31},3,1,23,{"line":29,"column":33,"offset":34},59,81,{"start":36,"end":37},{"line":29,"column":30,"offset":31},{"line":29,"column":33,"offset":34},{"type":14,"value":15},{"type":17,"tagName":18,"properties":40,"children":41,"position":55},{},[42],{"type":17,"tagName":43,"properties":44,"children":47,"position":48},"typeheader",{"type":45,"meta":46},"HYPERLIQUID_LIQUIDATION_AGG","Weight: 5x | Max points: 5,000 | Advanced/Enterprise only",[],{"start":49,"end":52},{"line":50,"column":30,"offset":51},5,83,{"line":50,"column":53,"offset":54},126,208,{"start":56,"end":57},{"line":50,"column":30,"offset":51},{"line":50,"column":53,"offset":54},{"type":14,"value":15},{"type":17,"tagName":18,"properties":60,"children":61,"position":172},{},[62,72,86,93,106,113,126,134,147,154,165],{"type":14,"value":63,"position":64},"Liquidation data aggregated by price level for rendering liquidation heatmaps. Currently sourced from Hyperliquid exchange data.\nThis endpoint is coin-based. 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