anysite-competitor-analyzer

Competitor Analyzer

Systematic framework for gathering and analyzing competitive intelligence using Anysite MCP v2 tools.

Tool Interface (v2)

All data fetching uses the unified v2 meta-tools:

• execute(source, category, endpoint, params) - Fetch data. Returns first 10 items + cache_key. If next_offset is present, use get_page() to load more.
• get_page(cache_key, offset, limit) - Paginate through cached results from a previous execute(). Data cached 7 days.
• query_cache(cache_key, conditions, sort_by, aggregate, group_by) - Filter, sort, count, or aggregate already-fetched data without new API calls.
• export_data(cache_key, format) - Export full dataset as CSV, JSON, or JSONL. Returns a download URL.
• discover(source, category) - Inspect available endpoints and params before calling execute().

Error handling: If execute() returns an error with llm_hint, follow the hint to fix the call. Common issues: wrong URN format, alias not found (search first), fsd_company vs company: prefix mismatch.

When to Use This Skill

Trigger this skill when users ask to:

• "Analyze [competitor name]"
• "Research our competitors"
• "Create a competitive analysis of [company]"
• "How does [competitor] position themselves?"
• "What are [competitor]'s strengths and weaknesses?"
• "Compare our product with [competitor]"
• "Who are our main competitors?"
• "Build a battle card for [competitor]"

Quick Start

For single competitor analysis:

# 1. Generate analysis template
python scripts/analyze_competitor.py "Competitor Name" "https://competitor.com"

# 2. Use Anysite v2 tools to gather data (see workflow below)

# 3. Fill in the JSON template with findings

# 4. Generate final report
python scripts/analyze_competitor.py "Competitor Name" "https://competitor.com" | \
    python -c "import sys,json; exec('from scripts.analyze_competitor import format_markdown_report; print(format_markdown_report(json.load(sys.stdin)))')" \
    > /mnt/user-data/outputs/competitor_report.md