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X402Watch

io.github.printmoneylab/x402watch
Wash-filtered intelligence for x402: categories, services, wash analysis, trends.
healthy
status
5
tools exposed
1006ms
connect latency
dab768ef2610
schema fingerprint

Tools (5)

x402_get_categories
List all 33 x402 service categories with aggregate stats: services count, 24h volume, transaction count, real-volume %, and label distribution. Use this to understand the shape of the x402 ecosystem before drilling into specific services or wallets. Free tier. No payment required. Returns wash-filte
x402_get_service
Get the full detail record for one x402 service: name, description, seller address, chain, price, 24h and total transaction stats, 30-day daily volume time series, buyer-label distribution, and top buyers. Use this to evaluate a single service's traffic composition. Free tier. No payment required. R
x402_check_wash
Get the aggregate wash-report dataset: 30-day total active buyers, real-volume %, suspected_wash and self_test counts, full 8-label distribution, 14-day wash percentage time series, and five anonymized case studies (Service A through E) with pattern signals. For per-address real-time wash analysis
x402_search_services
Search the index of 36k+ x402 services with filters. Returns a paginated list of matching services with their stats and label mix. Use this to find services by topic, chain, or seller wallet. Free tier. No payment required. Returns wash-filtered data using the same v2.0 algorithm as the paid endpoin
x402_get_trends
Get the last-24-hour trends snapshot: new services count vs the previous 24h, total transaction count, total USDC volume, active buyer count, daily new-services bar (14 days), recent new services (top 10), category volume movers, and hot services with traffic surges (>= 100 24h tx and >= +50% growth

Endpoint

https://api.x402.printmoneylab.com/mcp
Category: Other · Last checked: 2026-07-30T13:59:17Z

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How we measure →
What this means. This server responded to the MCP handshake and listed its tools without authentication. The schema fingerprint lets us flag if tool signatures silently change (schema drift) between checks.