# Crypto Intel (`fiery_dream/crypto-intel`) Actor Enterprise-grade cryptocurrency and DeFi market intelligence agent. - **URL**: https://apify.com/fiery\_dream/crypto-intel.md - **Developed by:** [Cody Churchwell](https://apify.com/fiery_dream) (community) - **Categories:** AI, Agents, Other - **Stats:** 9 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Crypto & DeFi Intelligence Enterprise-grade cryptocurrency and DeFi market intelligence agent. ### Features - **Real-time Prices**: Top 100+ coins with 1h, 24h, 7d, 30d changes - **Fear & Greed Index**: Market sentiment tracking - **DeFi Protocol TVL**: Track 100+ protocols across chains - **Yield Opportunities**: Best DeFi yield pools - **Stablecoin Monitoring**: Market caps and peg health - **Order Book Depth**: Binance liquidity analysis - **Trending Coins**: What's hot right now - **AI-Powered Analysis**: Market insights and trading recommendations ### Data Sources (100% FREE, NO API KEY REQUIRED) | Source | Data Provided | |--------|---------------| | CoinGecko | 13,000+ coins, market data, trending | | Binance | Order books, candlesticks, 24h tickers | | DeFi Llama | Protocol TVL, chain data, yields | | Alternative.me | Fear & Greed Index | | GDELT | Crypto news monitoring | ### Input Parameters | Parameter | Type | Description | |-----------|------|-------------| | modules | array | Data modules to fetch | | coins | array | Specific coin IDs for detailed analysis | | vs_currency | string | Quote currency (usd, eur, btc, etc.) | | include_ai_analysis | boolean | Enable AI market analysis | ### Sentiment Levels | Level | Score | Description | |-------|-------|-------------| | EXTREME FEAR | 0-19 | Capitulation, buying opportunity | | FEAR | 20-39 | Bearish sentiment | | NEUTRAL | 40-59 | No strong bias | | GREED | 60-79 | Bullish sentiment | | EXTREME GREED | 80-100 | Euphoria, correction risk | ### Output ```json { "timestamp": "2024-01-15T14:30:00Z", "sentiment_assessment": { "score": 65, "level": "GREED", "description": "Bullish sentiment. Monitor for overbought conditions.", "factors": ["Fear & Greed: 68 (Greed)", "BTC dominance: 52%"] }, "global_market": { "total_market_cap_usd": 1850000000000, "market_cap_change_percentage_24h_usd": 2.5 }, "coins": [...], "defi_protocols": [...], "yield_pools": [...], "ai_analysis": "Based on current market conditions..." } ```` ### Use Cases - **Trading Desks**: Real-time market monitoring - **DeFi Investors**: TVL and yield tracking - **Portfolio Managers**: Multi-asset analysis - **Research Analysts**: Market reports - **Automated Trading**: Data feeds for bots - **Media/News**: Market updates ### Example Usage ```bash apify call crypto-intel -i '{ "modules": ["market_data", "defi", "fear_greed", "yields"], "coins": ["bitcoin", "ethereum", "solana"], "include_ai_analysis": true }' ``` ### Pricing Pay-per-event pricing: - $0.001 per module fetched - AI analysis included when API key provided | Event | Price | |-------|-------| | crypto-report | $0.001 per module | | Default dataset item | $0.00001 | ### Disclaimer This tool provides market information for research purposes only. Not financial advice. Cryptocurrency investments carry high risk. Always do your own research and consult with financial professionals. # Actor input Schema ## `modules` (type: `array`): Select which crypto data to fetch ## `coins` (type: `array`): Optional: CoinGecko coin IDs for detailed analysis (e.g., bitcoin, ethereum, solana) ## `vs_currency` (type: `string`): Currency for prices ## `include_ai_analysis` (type: `boolean`): Use AI to generate market insights (requires API key) ## `model_name` (type: `string`): LLM model for analysis ## `query` (type: `string`): Optional: Specific question about the crypto market ## `max_results` (type: `integer`): Maximum coins/protocols to return ## `api_key` (type: `string`): API key for the selected AI model (Google AI Studio key for Gemini, OpenAI key for GPT, Anthropic key for Claude) ## Actor input object example ```json { "modules": [ "market_data", "trending", "global", "defi", "fear_greed", "stablecoins" ], "vs_currency": "usd", "include_ai_analysis": true, "model_name": "gemini/gemini-2.0-flash", "max_results": 100 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("fiery_dream/crypto-intel").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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("fiery_dream/crypto-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 fiery_dream/crypto-intel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=fiery_dream/crypto-intel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Crypto Intel", "description": "Enterprise-grade cryptocurrency and DeFi market intelligence agent.", "version": "1.0", "x-build-id": "pXJUfdfMS7P8DVaKv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/fiery_dream~crypto-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-fiery_dream-crypto-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/fiery_dream~crypto-intel/runs": { "post": { "operationId": "runs-sync-fiery_dream-crypto-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/fiery_dream~crypto-intel/run-sync": { "post": { "operationId": "run-sync-fiery_dream-crypto-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "modules": { "title": "Data Modules", "type": "array", "description": "Select which crypto data to fetch", "items": { "type": "string", "enum": [ "market_data", "coin_details", "trending", "global", "exchanges", "binance", "candlesticks", "order_book", "defi", "defi_protocols", "defi_chains", "yields", "stablecoins", "fear_greed", "sentiment", "news" ] }, "default": [ "market_data", "trending", "global", "defi", "fear_greed", "stablecoins" ] }, "coins": { "title": "Specific Coins", "type": "array", "description": "Optional: CoinGecko coin IDs for detailed analysis (e.g., bitcoin, ethereum, solana)", "items": { "type": "string" } }, "vs_currency": { "title": "Quote Currency", "enum": [ "usd", "eur", "gbp", "jpy", "btc", "eth" ], "type": "string", "description": "Currency for prices", "default": "usd" }, "include_ai_analysis": { "title": "Include AI Analysis", "type": "boolean", "description": "Use AI to generate market insights (requires API key)", "default": true }, "model_name": { "title": "AI Model", "enum": [ "gemini/gemini-2.0-flash", "gpt-4o-mini", "gpt-4o", "claude-3-5-sonnet-20241022" ], "type": "string", "description": "LLM model for analysis", "default": "gemini/gemini-2.0-flash" }, "query": { "title": "Custom Query", "type": "string", "description": "Optional: Specific question about the crypto market" }, "max_results": { "title": "Max Results", "minimum": 10, "maximum": 250, "type": "integer", "description": "Maximum coins/protocols to return", "default": 100 }, "api_key": { "title": "AI API Key", "type": "string", "description": "API key for the selected AI model (Google AI Studio key for Gemini, OpenAI key for GPT, Anthropic key for Claude)" } } }, "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 } } } } } } } } } } ```