# Crypto Market Intelligence Engine (`assertive_laureate/crypto-market-intel`) Actor Crypto Market Intelligence v1.1 — Fear & Greed + top 50 coins + 10 trading signals: gainers, losers, volume anomalies, market regime, trend reversals, ATH drawdowns, 24h range positions, trending coins, BTC dominance. AI brief via DeepSeek. MCP for AI agents. Only actor combining F\&G + prices + AI. - **URL**: https://apify.com/assertive\_laureate/crypto-market-intel.md - **Developed by:** [Cass Zhu](https://apify.com/assertive_laureate) (community) - **Categories:** Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ## Crypto Market Intelligence Engine 🪙 v1.0 **Real-time crypto market intelligence with trading signals — Fear & Greed, top movers, volume anomalies, market regime detection. AI brief via DeepSeek. MCP-enabled.** ### Features | Signal | What It Does | Trader Action | |--------|-------------|---------------| | **Fear & Greed** | Historical 7-day trend + current signal | Contrarian entries (buy fear, sell greed) | | **Top Gainers** | +3% in 24h with $1M+ volume | Momentum chasing | | **Top Losers** | -3% in 24h with $1M+ volume | Dip buying / stop-loss triggers | | **Volume Anomalies** | Vol/MCap > 50% | Potential manipulation or breakout | | **Market Regime** | Bull/Bear/Fearful/Greedy + BTC Dominance | Portfolio allocation | | **Trend Reversals** | 1h move opposite to 24h trend | Early reversal entries | | **Dominance Shift** | BTC/ETH/Top10 dominance tracking | Alt-season timing | ### Data Sources - **CoinGecko** — Top 50 (configurable) coins by market cap - **Alternative.me** — Crypto Fear & Greed Index (7-day history) - **DeepSeek** — AI intelligence brief (optional) ### Output Example ```json { "scrapedAt": "2026-05-19T00:30:00Z", "version": "1.0", "totalCoins": 50, "fearAndGreed": {"value": 28, "classification": "Fear", "signal": "fear_accumulate"}, "globalData": {"totalMarketCap": 2654227236917, "btcDominance": 0.583}, "signals": { "topGainers": [{"symbol": "SOL", "change24h": 0.047, "volume24h": 2340000000}], "topLosers": [{"symbol": "DOGE", "change24h": -0.062, "volume24h": 890000000}], "volumeAnomalies": [], "marketRegime": {"regime": "fearful", "btcDominance": 0.583}, "trendReversalWarnings": [] }, "aiBrief": "Crypto market in confirmed fearful regime. Fear & Greed at 28 signals accumulation zone..." } ```` ### Pricing (Pay-Per-Event) | Event | Price | Triggers | |-------|-------|----------| | `result` | $0.01/run | Every execution | | `intelligence-brief` | $0.03/brief | AI brief (DeepSeek key required) | ### MCP Integration Drop into any MCP client: ```json "mcpServers": { "crypto-intel": { "command": "npx", "args": ["mcp-remote", "https://mcp.apify.com/?tools=assertive_laureate/crypto-market-intel", "--header", "Authorization: Bearer "] } } ``` ### Sister Product Also check out [Prediction Market Intelligence Engine](https://apify.com/assertive_laureate/prediction-market-intel) — Polymarket, Kalshi, Manifold & PredictIt aggregation with 10 trading signals. *** **Trade the signals, not the noise.** ## Actor input object example ```json {} ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("assertive_laureate/crypto-market-intel").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("assertive_laureate/crypto-market-intel").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 assertive_laureate/crypto-market-intel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=assertive_laureate/crypto-market-intel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crypto Market Intelligence Engine", "description": "Crypto Market Intelligence v1.1 — Fear & Greed + top 50 coins + 10 trading signals: gainers, losers, volume anomalies, market regime, trend reversals, ATH drawdowns, 24h range positions, trending coins, BTC dominance. AI brief via DeepSeek. MCP for AI agents. Only actor combining F&G + prices + AI.", "version": "1.1", "x-build-id": "gHVGQZO922vkR6foR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/assertive_laureate~crypto-market-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-assertive_laureate-crypto-market-intel", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/assertive_laureate~crypto-market-intel/runs": { "post": { "operationId": "runs-sync-assertive_laureate-crypto-market-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/assertive_laureate~crypto-market-intel/run-sync": { "post": { "operationId": "run-sync-assertive_laureate-crypto-market-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": {} }, "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 } } } } } } } } } } ```