{"ok":true,"host":"spend.crestsystems.ai","status":"ready","manifest":{"positioning":"This host serves agents that need a quick, zero-configuration read on x402 network-wide payment activity. It covers two complementary angles: raw volume and composition metrics (transactions, active services, payers, hourly breakdown) and anomaly-layer analysis (health score, outlier services, whale transactions). It does not expose per-payer, per-transaction, or historical data beyond the fixed 24-hour window.","host_overview":"spend.crestsystems.ai provides two read-only analytics endpoints covering the x402 payment network: one returns aggregate spend metrics for the past 24 hours, and the other returns anomaly detection results including ecosystem health scores and flagged whale transactions. Both endpoints require no inputs and return pre-computed summaries over a rolling window.","routing_guidance":"Use this host when an agent needs a fast, no-input summary of x402 network-wide payment activity or wants to check for anomalous spending patterns and ecosystem health. It is not suitable for per-transaction lookups, per-payer history, real-time streaming feeds, or any historical window beyond 24 hours — for those needs, route to a transaction-level or time-series data endpoint. If the agent needs price data for specific tokens rather than payment network volume, this host is not appropriate.","capability_clusters":[{"skill_names":["fetch-spend-overview"],"cluster_name":"Network Spend Metrics","cluster_summary":"Provides aggregate transaction volume, active service and payer counts, top services by revenue, ecosystem composition, and hourly volume breakdown for the past 24 hours."},{"skill_names":["fetch-spend-anomalies"],"cluster_name":"Anomaly Detection and Health Scoring","cluster_summary":"Applies learned baselines over a rolling window to surface anomalous services, whale transactions, and an overall ecosystem health score for the x402 network."}],"cross_skill_workflows":[{"steps":[{"skill_name":"fetch-spend-overview","description":"Retrieve current aggregate volume, active services, and top earners to establish the baseline picture of network activity."},{"skill_name":"fetch-spend-anomalies","description":"Cross-reference the overview data with anomaly detection results to determine whether volume spikes or drops are flagged as outliers and check the ecosystem health score."}],"when_to_use":"Use when an agent needs to assess whether unusual network conditions are driving observed volume changes — combining baseline metrics with anomaly context.","workflow_name":"Ecosystem Health Triage"}]},"model":"claude-sonnet-4-6","version_no":2,"generated_at":"2026-05-18T07:39:54.924Z","provenance":"ai_authored_unreviewed","ai_authored":true,"merchant_reviewed":false,"merchant_edited":false,"merchant_reviewed_at":null,"merchant_edited_at":null,"skill_md_url":"https://x402gle.com/servers/spend.crestsystems.ai/SKILL.md","skills_url":"https://x402gle.com/servers/spend.crestsystems.ai/skills.json"}