# Funding Radar (`opaline_midge/funding-radar`) Actor Live perpetual funding rates and fee-adjusted funding-arbitrage opportunities across 8 perp DEXs (Hyperliquid, Aster, Paradex, Lighter, dYdX, Extended, Pacifica, Binance). Ranks carry trades by net APR after taker fees. Pay per result, no subscription. - **URL**: https://apify.com/opaline\_midge/funding-radar.md - **Developed by:** [joker](https://apify.com/opaline_midge) (community) - **Categories:** Developer tools, News - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.0001 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 ## Funding Rate API — Perp DEX Funding & Arbitrage Scanner Get **live funding rates** and **ready-to-trade funding-arbitrage opportunities** across 8 decentralized perp DEXs in a single call. No monthly subscription — you pay only for the rows you pull. Comparable data feeds charge $29–699/month. Here, a typical query costs a few cents. ### What can you do with it? - **Find funding-arb trades**: see which coin to short on which venue and long on another, ranked by net APR *after* round-trip taker fees — not the raw spread that evaporates once you pay fees. - **Feed your trading bot**: pull normalized funding rates across venues on your own schedule instead of integrating 8 different exchange APIs with 8 different formats and funding intervals. - **Monitor a single venue**: filter to just the exchanges or coins you trade. ### Supported exchanges (8) Hyperliquid · Aster · Paradex · Lighter · Binance (via Lighter) · dYdX v4 · Extended · Pacifica All rates are normalized to a common annualized APR, so a 1h-funding venue and an 8h-funding venue are directly comparable. ### How to use Run the Actor with JSON input (via the Apify Console, API, or any Apify client): ```json { "mode": "arb", "symbols": [], "venues": [], "minNetApr": "0.10", "requireOi": true } ```` | Field | What it does | |-------|--------------| | `mode` | `arb` = ranked arbitrage opportunities · `rates` = raw funding rates per venue per coin | | `symbols` | Only these coins, e.g. `["BTC", "ETH"]`. Empty = all (~600 coins) | | `venues` | Only these exchanges, e.g. `["hyperliquid", "paradex"]`. Empty = all 8 | | `minNetApr` | Arb mode: minimum net APR as a decimal (`"0.10"` = 10%) | | `requireOi` | Arb mode: drop opportunities where a leg's open interest is unknown — filters thin markets that show absurd, unfillable APRs. Keep `true` | Results land in the run's dataset — download as JSON, CSV, or Excel, or read them via the Apify API. #### Example output — `arb` mode ```json { "symbol": "LIT", "short_venue": "hyperliquid", "short_apr": 0.1095, "long_venue": "extended", "long_apr": -0.3767, "spread_apr": 0.4862, "net_apr": 0.4132, "min_oi_usd": 4528851 } ``` Read it as: short LIT on Hyperliquid (funding pays you 10.95% APR), long LIT on Extended (negative funding pays you another 37.67%), and after taker fees on both legs you keep an estimated **41.3% APR**, with at least $4.5M open interest on the thinner leg. #### Example output — `rates` mode ```json { "venue": "hyperliquid", "symbol": "BTC", "rate": 0.0000125, "interval_hours": 1.0, "apr": 0.1095, "mark_price": 62903.0, "open_interest_usd": 2236125876, "fetched_at": 1783326670 } ``` #### Call it from code ```python from apify_client import ApifyClient client = ApifyClient("") run = client.actor("opaline_midge/funding-radar").call( run_input={"mode": "arb", "minNetApr": "0.10", "requireOi": True} ) for row in client.dataset(run["defaultDatasetId"]).iterate_items(): print(row["symbol"], row["net_apr"]) ``` ### Why net APR instead of raw spread? A 30% funding spread means nothing if you pay 4 taker fees to enter and exit both legs. This Actor subtracts annualized round-trip taker fees (per-venue fee table, verified against official docs) over an assumed 7-day hold, so the ranking reflects what you could actually keep. ### FAQ **How fresh is the data?** Fetched live from the venues' public APIs at the moment you run the Actor — not cached. **Why do some rows have `min_oi_usd: null`?** A few venues don't publish open interest. With `requireOi: true` (default) those pairs are excluded from arb results. **Is this trading advice?** No. Funding rates flip fast, thin books slip, and DEXs carry smart-contract and counterparty risk. Net APR is an estimate, not a guarantee. Always verify before trading. **A venue is missing from my results.** Single-venue outages are isolated — the Actor returns data from the healthy venues instead of failing the whole run. ### More - Free web dashboard (updates every 30 min): https://holydement0r.github.io/Funding-Radar/ - Free Telegram alerts: https://t.me/FundingRadarAlerts - Open source — code, architecture, and development docs: [docs/development.md](docs/development.md) # Actor input Schema ## `mode` (type: `string`): arb = fee-adjusted funding-arbitrage opportunities; rates = raw funding rate per venue per coin. ## `symbols` (type: `array`): Filter to these coin symbols, e.g. \["BTC", "ETH"]. Empty = all coins. ## `venues` (type: `array`): Filter to these venues, e.g. \["hyperliquid", "paradex"]. Empty = all 8 venues. ## `minNetApr` (type: `string`): Only return arb opportunities with net APR at or above this (decimal, e.g. 0.10 = 10%). ## `requireOi` (type: `boolean`): Drop opportunities where a leg's open interest is unknown (recommended - filters thin/stale markets). ## Actor input object example ```json { "mode": "arb", "symbols": [], "venues": [], "minNetApr": "0.10", "requireOi": true } ``` # 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("opaline_midge/funding-radar").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("opaline_midge/funding-radar").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 opaline_midge/funding-radar --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=opaline_midge/funding-radar", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Funding Radar", "description": "Live perpetual funding rates and fee-adjusted funding-arbitrage opportunities across 8 perp DEXs (Hyperliquid, Aster, Paradex, Lighter, dYdX, Extended, Pacifica, Binance). Ranks carry trades by net APR after taker fees. Pay per result, no subscription.", "version": "0.2", "x-build-id": "T9g3ykhn668tSsy2p" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/opaline_midge~funding-radar/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-opaline_midge-funding-radar", "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/opaline_midge~funding-radar/runs": { "post": { "operationId": "runs-sync-opaline_midge-funding-radar", "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/opaline_midge~funding-radar/run-sync": { "post": { "operationId": "run-sync-opaline_midge-funding-radar", "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": { "mode": { "title": "Mode", "enum": [ "arb", "rates" ], "type": "string", "description": "arb = fee-adjusted funding-arbitrage opportunities; rates = raw funding rate per venue per coin.", "default": "arb" }, "symbols": { "title": "Coins (optional filter)", "type": "array", "description": "Filter to these coin symbols, e.g. [\"BTC\", \"ETH\"]. Empty = all coins.", "default": [], "items": { "type": "string" } }, "venues": { "title": "Exchanges (optional filter)", "type": "array", "description": "Filter to these venues, e.g. [\"hyperliquid\", \"paradex\"]. Empty = all 8 venues.", "default": [], "items": { "type": "string" } }, "minNetApr": { "title": "Minimum net APR (arb mode)", "type": "string", "description": "Only return arb opportunities with net APR at or above this (decimal, e.g. 0.10 = 10%).", "default": "0.10" }, "requireOi": { "title": "Require verified open interest (arb mode)", "type": "boolean", "description": "Drop opportunities where a leg's open interest is unknown (recommended - filters thin/stale markets).", "default": true } } }, "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 } } } } } } } } } } ```