{"ok":true,"host":"www.prowldata.dev","status":"ready","manifest":{"positioning":"Prowl Data serves agents and analysts that need structured snapshots of prediction market metrics and macro rate data in a single host. It covers the full lifecycle of a prediction market contract — from live volume and cross-platform spread analysis to final resolution outcomes — and supplements this with macroeconomic yield context. All endpoints return cached snapshots (TTL 300–600s) rather than streaming feeds, making it suited for periodic analysis rather than latency-sensitive execution.","host_overview":"www.prowldata.dev provides cached data feeds covering prediction market activity and macroeconomic yield series. It aggregates volume, spread, resolution, and narrative data from platforms including Polymarket, Kalshi, and PredictFun, alongside FRED-sourced bond yield time series.","routing_guidance":"Use www.prowldata.dev when an agent needs structured, periodic snapshots of prediction market volume, cross-platform spreads, resolution outcomes, or narrative records, optionally combined with FRED macro yield series. It is the right choice for batch analysis, scheduled monitoring, or research workflows that tolerate 300–600 second cache staleness. Do not use it for real-time or streaming data — it has no live order book, tick feed, or streaming endpoint. Do not use it for equity, crypto, or FX market data; those asset classes are out of scope. For live prediction market order books, route to a platform-native API (Polymarket or Kalshi directly). For real-time macro rates, use a live FRED or Bloomberg feed instead.","capability_clusters":[{"skill_names":["fetch-markets-volume"],"cluster_name":"Prediction Market Activity","cluster_summary":"Provides aggregated trading volume, liquidity depth, and outcome probabilities for open prediction market contracts, enabling ranking and filtering by 24-hour activity."},{"skill_names":["fetch-market-spread"],"cluster_name":"Cross-Platform Spread Analysis","cluster_summary":"Returns bid-ask spread data matched across Polymarket, Kalshi, and PredictFun for the same event, exposing per-platform odds and computed spread discrepancies useful for arbitrage identification."},{"skill_names":["fetch-market-resolution-feed"],"cluster_name":"Market Resolution & Settlement","cluster_summary":"Delivers final outcomes, settlement probabilities, and resolution timestamps for closed prediction market contracts, allowing agents to confirm which side of a market won."},{"skill_names":["search-narratives"],"cluster_name":"Narrative Discovery","cluster_summary":"Searches a structured narrative index by keyword or topic, returning matching narrative records with feed tier and cache freshness metadata."},{"skill_names":["fetch-macro-yields"],"cluster_name":"Macroeconomic Yield Data","cluster_summary":"Returns FRED-sourced time series for bond yields and interest-rate spreads (e.g., 10Y-2Y Treasury), supporting macro modeling and rate-trend monitoring."}],"cross_skill_workflows":[{"steps":[{"skill_name":"fetch-markets-volume","description":"Retrieve the ranked list of prediction market contracts by 24-hour volume to identify the most actively traded events."},{"skill_name":"fetch-market-spread","description":"Pull cross-platform spread data to check whether high-volume events also show bid-ask discrepancies across Polymarket, Kalshi, and PredictFun."}],"when_to_use":"Use when an agent needs to identify high-activity prediction market events that also exhibit cross-platform price discrepancies worth investigating.","workflow_name":"Prediction Market Opportunity Scan"},{"steps":[{"skill_name":"fetch-markets-volume","description":"Gather volume, liquidity, and implied probabilities for the event while it is open."},{"skill_name":"fetch-market-resolution-feed","description":"Confirm the final resolved outcome and settlement probability once the market has closed."}],"when_to_use":"Use when an agent needs to evaluate a prediction market event from active trading context through to final settlement outcome.","workflow_name":"Market Lifecycle Review"},{"steps":[{"skill_name":"search-narratives","description":"Search the narrative index by a macro-related keyword (e.g., 'recession', 'rate hike') to retrieve relevant structured narrative records."},{"skill_name":"fetch-macro-yields","description":"Pull current and historical FRED yield series to provide quantitative rate context alongside the retrieved narratives."}],"when_to_use":"Use when an agent needs to surface narratives related to a macro topic and cross-reference them with current yield data for analytical context.","workflow_name":"Macro-Contextualized Narrative Search"}]},"model":"claude-sonnet-4-6","version_no":5,"generated_at":"2026-05-28T20:07:38.639Z","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/www.prowldata.dev/SKILL.md","skills_url":"https://x402gle.com/servers/www.prowldata.dev/skills.json"}