# Openclaw Intel (`yagamiyedan/openclaw-intel`) Actor - **URL**: https://apify.com/yagamiyedan/openclaw-intel.md - **Developed by:** [yagami yedan](https://apify.com/yagamiyedan) (community) - **Categories:** MCP servers, Developer tools - **Stats:** 1 total users, 0 monthly users, 0.0% 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 ## OpenClaw Intel Get real-time AI ecosystem statistics and trend analysis from the OpenClaw intelligence network. ### Features - **MCP-compatible**: Works as a Model Context Protocol server in standby mode - **Direct execution**: Run tools directly from the Apify Store UI - **Pay-per-event**: Only pay $0.01 per tool execution - **Pro API key support**: Bring your OpenClaw Pro key for higher backend rate limits ### Available Tools #### `ecosystem_stats` Get current AI/MCP ecosystem statistics: model counts, tool counts, market data. **Parameters:** - `category` (string, optional): Category: models, tools, platforms, all #### `trend_analysis` Analyze trends in the AI ecosystem over time. **Parameters:** - `topic` (string, **required**): Topic to analyze (e.g. "mcp adoption", "model pricing") ### Usage #### As an Apify Actor (direct execution) Run this Actor from the Apify Console or API: ```json { "tool": "ecosystem_stats", "toolInput": { "category": "all" }, "apiKey": "your-pro-key-optional" } ```` #### As an MCP Server (standby mode) Connect to this Actor's MCP endpoint from any MCP client: ``` https://yagami8095--openclaw-intel.apify.actor/mcp ``` Configure in Claude Desktop (`claude_desktop_config.json`): ```json { "mcpServers": { "openclaw-intel": { "command": "npx", "args": ["-y", "mcp-remote", "https://yagami8095--openclaw-intel.apify.actor/mcp"], "env": { "APIFY_TOKEN": "your_apify_token" } } } } ``` #### Via Apify API ```bash curl -X POST "https://api.apify.com/v2/acts/yagami8095~openclaw-intel/runs" \ -H "Authorization: Bearer YOUR_APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"tool": "ecosystem_stats", "toolInput": {}}' ``` ### Pricing | Tier | Cost | Details | |------|------|---------| | Free backend | $0.01/tool call (Apify) | Limited backend rate (see worker limits) | | Pro backend | $0.01/tool call (Apify) + $9 one-time Pro key | 1000 calls/day backend limit | ### Backend This Actor proxies requests to the OpenClaw `openclaw-intel-mcp` Cloudflare Worker at `https://openclaw-intel-mcp.yagami8095.workers.dev`. ### Links - [OpenClaw MCP Servers on GitHub](https://github.com/yedanyagamiai-cmd/openclaw-mcp-servers) - [Get a Pro API Key](https://product-store.yagami8095.workers.dev/buy/pro) - [OpenClaw on Smithery](https://smithery.ai) ### License MIT # Actor input Schema ## `tool` (type: `string`): Which tool to execute. ## `toolInput` (type: `object`): JSON object of input parameters for the selected tool. ## `apiKey` (type: `string`): Your OpenClaw Pro API key for higher rate limits. Get one at https://product-store.yagami8095.workers.dev/buy/pro ## Actor input object example ```json { "tool": "ecosystem_stats", "toolInput": { "category": "all" } } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "tool": "ecosystem_stats", "toolInput": { "category": "all" } }; // Run the Actor and wait for it to finish const run = await client.actor("yagamiyedan/openclaw-intel").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "tool": "ecosystem_stats", "toolInput": { "category": "all" }, } # Run the Actor and wait for it to finish run = client.actor("yagamiyedan/openclaw-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 '{ "tool": "ecosystem_stats", "toolInput": { "category": "all" } }' | apify call yagamiyedan/openclaw-intel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=yagamiyedan/openclaw-intel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Openclaw Intel", "version": "1.0", "x-build-id": "Wt60F4xLwxAjcMKbV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/yagamiyedan~openclaw-intel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-yagamiyedan-openclaw-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/yagamiyedan~openclaw-intel/runs": { "post": { "operationId": "runs-sync-yagamiyedan-openclaw-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/yagamiyedan~openclaw-intel/run-sync": { "post": { "operationId": "run-sync-yagamiyedan-openclaw-intel", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "tool", "toolInput" ], "properties": { "tool": { "title": "Tool Name", "enum": [ "ecosystem_stats", "trend_analysis" ], "type": "string", "description": "Which tool to execute." }, "toolInput": { "title": "Tool Input (JSON)", "type": "object", "description": "JSON object of input parameters for the selected tool." }, "apiKey": { "title": "Pro API Key (optional)", "type": "string", "description": "Your OpenClaw Pro API key for higher rate limits. Get one at https://product-store.yagami8095.workers.dev/buy/pro" } } }, "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 } } } } } } } } } } ```