# Hyperliquid Funding Rate & Premium Scanner (`hyperdata-labs/hyperliquid-funding-rate-scanner`) Actor All Hyperliquid perps with annualized funding rate, open interest, premium, mark vs oracle — sorted by funding extremes. Clean JSON, no key. - **URL**: https://apify.com/hyperdata-labs/hyperliquid-funding-rate-scanner.md - **Developed by:** [hyperdata labs](https://apify.com/hyperdata-labs) (community) - **Categories:** Developer tools, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Hyperliquid Funding Rate & Premium Scanner **Every Hyperliquid perpetual, ranked by funding rate — in one run.** Annualized funding APR, open interest, premium (mark vs oracle), 24h volume, max leverage. Clean structured JSON, no wallet, no API key. > 🆓 **Free to run** — you only pay Apify's platform compute (cents per run). ### Why Funding rate is the single most-watched number on a perp DEX: it's what longs pay shorts (or vice-versa) every hour, and extreme funding is where carry trades, squeezes, and mean-reversion setups live. This actor snapshots **all ~230 Hyperliquid perps at once**, annualizes the hourly funding to a comparable APR, and sorts by the extreme — so you can find the outliers instantly instead of clicking through the UI coin by coin. ### What you get — one row per perp | Field | Description | |---|---| | `coin` | Perp symbol (BTC, HEMI, TRUMP, …) | | `fundingAprPct` | Hourly funding annualized to %/yr (×24×365) | | `fundingHourlyPct` | Raw hourly funding rate (%) | | `premiumPct` | (mark − oracle) / oracle, in % | | `markPx` / `oraclePx` | Mark and oracle prices | | `openInterestUsd` | Open interest in USD notional | | `openInterestCoins` | Open interest in coin units | | `dayNtlVolumeUsd` | 24h notional volume (USD) | | `maxLeverage` | Max leverage offered | | `scrapedAt` | ISO timestamp | ### Use cases - **Funding-carry screening** — surface the perps paying the richest funding to long/short. - **Squeeze / crowding radar** — extreme negative funding = crowded shorts; extreme positive = crowded longs. - **Dashboards & alerts** — schedule it and alert when any coin's funding crosses a threshold. - **Research datasets** — run on a schedule to build a funding-rate history archive. - **AI agents** — feed structured funding/premium signals into LLM trading pipelines. ### Input ```json { "minAbsFundingAprPct": 50, "minOpenInterestUsd": 100000, "sortBy": "fundingAbs" } ```` | Input | Default | Description | |---|---|---| | `minAbsFundingAprPct` | `0` | Only return perps with |annualized funding| ≥ this (%). 0 = all. | | `minOpenInterestUsd` | `0` | Drop perps with OI below this (USD). 0 = no filter. | | `sortBy` | `fundingAbs` | `fundingAbs` / `fundingSigned` / `openInterest` / `volume24h`. | ### Output sample ```json { "coin": "HEMI", "fundingAprPct": 474.44, "fundingHourlyPct": 0.054, "premiumPct": 0.768, "markPx": 0.063, "oraclePx": 0.0625, "openInterestUsd": 2185948, "dayNtlVolumeUsd": 18400000, "maxLeverage": 5, "scrapedAt": "2026-06-13T13:57:00.000Z" } ``` ### Notes - Reads Hyperliquid's public `metaAndAssetCtxs` info endpoint — fully read-only, no key, no account. - Funding on Hyperliquid is charged hourly; `fundingAprPct` annualizes it for cross-venue comparison (×24×365). - Schedule it (e.g. hourly) to build a longitudinal funding dataset. *** *Built by [hyperdata-labs](https://apify.com/hyperdata-labs) — structured data tools for the Hyperliquid ecosystem.* # Actor input Schema ## `minAbsFundingAprPct` (type: `integer`): Only return perps whose absolute annualized funding rate is at least this (percent). 0 = all perps. ## `minOpenInterestUsd` (type: `integer`): Filter out perps with open interest below this (USD notional). 0 = no filter. ## `sortBy` (type: `string`): Ordering of the output rows. ## Actor input object example ```json { "minAbsFundingAprPct": 0, "minOpenInterestUsd": 0, "sortBy": "fundingAbs" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("hyperdata-labs/hyperliquid-funding-rate-scanner").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("hyperdata-labs/hyperliquid-funding-rate-scanner").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call hyperdata-labs/hyperliquid-funding-rate-scanner --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hyperdata-labs/hyperliquid-funding-rate-scanner", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Hyperliquid Funding Rate & Premium Scanner", "description": "All Hyperliquid perps with annualized funding rate, open interest, premium, mark vs oracle — sorted by funding extremes. Clean JSON, no key.", "version": "0.1", "x-build-id": "8p3f82oABhqBOeY1X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hyperdata-labs~hyperliquid-funding-rate-scanner/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hyperdata-labs-hyperliquid-funding-rate-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hyperdata-labs~hyperliquid-funding-rate-scanner/runs": { "post": { "operationId": "runs-sync-hyperdata-labs-hyperliquid-funding-rate-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hyperdata-labs~hyperliquid-funding-rate-scanner/run-sync": { "post": { "operationId": "run-sync-hyperdata-labs-hyperliquid-funding-rate-scanner", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "minAbsFundingAprPct": { "title": "Min |funding APR %|", "minimum": 0, "type": "integer", "description": "Only return perps whose absolute annualized funding rate is at least this (percent). 0 = all perps.", "default": 0 }, "minOpenInterestUsd": { "title": "Min open interest (USD)", "minimum": 0, "type": "integer", "description": "Filter out perps with open interest below this (USD notional). 0 = no filter.", "default": 0 }, "sortBy": { "title": "Sort by", "enum": [ "fundingAbs", "fundingSigned", "openInterest", "volume24h" ], "type": "string", "description": "Ordering of the output rows.", "default": "fundingAbs" } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```