productivity▌

AI-powered autonomous extraction of structured data from complex multi-page websites. \n \n Navigates sites intelligently to locate and extract data, returning results as JSON with optional schema validation \n Supports custom JSON schemas for predictable structured output, or freeform extraction when schema is not provided \n Offers two model tiers (spark-1-mini and spark-1-pro) with credit limits and optional waiting for inline results \n Best suited for multi-page extraction tasks; use simple

Comprehensive monitoring setup with metrics collection, log aggregation, alerting, and health checks. \n \n Covers Prometheus for metrics instrumentation, Grafana dashboards for visualization, and structured logging with Winston for log aggregation \n Includes pre-built alert rules for high error rates, slow response times, pod failures, and resource saturation \n Provides advanced health check endpoints that test database, cache, and external API dependencies with latency tracking \n Implements

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Browse, like, and submit agent-oriented websites to the ClawDirect directory. \n \n Browse public directory entries via API or web interface; no authentication required \n Like entries and submit new sites using ATXP-authenticated MCP tool calls \n Add entries ($0.50), edit owned entries ($0.10), or delete entries (free) with required metadata including URL, name, description, and base64-encoded thumbnail \n Obtain HTTP-only authentication cookies via MCP for browser-based interactions, with aut

Web scraping, search, crawling, and browser automation with LLM-optimized markdown output. \n \n Supports six command modes: search for discovery, scrape for single URLs, map to locate subpages, crawl for bulk site sections, browser for interactive content, and download for offline archives \n Returns clean markdown formatted for LLM context windows; write results to .firecrawl/ directory to avoid redundant fetches and manage large outputs \n Includes escalation workflow: start with search or sc

$22

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Localize a repository README.md without breaking the repo mechanics around it.

Design and optimize systems connecting marketing, sales, and customer success into a unified revenue engine. \n \n Covers lead lifecycle stages (Subscriber → Lead → MQL → SQL → Opportunity → Customer), stage definitions with entry/exit criteria, and ownership accountability across teams \n Includes lead scoring frameworks combining fit (ICP attributes) and engagement (behavioral signals) with negative scoring to filter unqualified leads \n Provides lead routing methods (round-robin, territory, a