{"uid":"cap_R9rco-JlOwyu9N0EoWmKw","slug":"orchard-data-track-record-e7e4a939","name":"Orchard Data Track Record","description":"Market data for AI agents, paid per-call via x402 (USDC on Base). Free index at /, free spec here.","url":"https://orchard-data.letom1176.workers.dev/api/track-record","method":"GET","headers":{},"bodySchema":{"type":"object","properties":{"properties":{"type":"string"}}},"responseSchema":{"type":"json","example":{"lanes":[{"lane":"credit_spread","trades":2,"win_rate":1}],"forecaster":{"live_ledger":{"hit_rate":0.67,"n_scored":12},"walk_forward_vol_acc":0.71},"system_vs_spy":{"edge_pct":5.5,"spy_multiple":1.01,"you_multiple":1.07}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.01","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.01/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.01","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_E5PavghBbv5Sws7_3NBR4","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.01","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns a trading system's historical performance metrics including win rates by strategy lane, forecaster accuracy, and comparison against SPY benchmark.","exampleAgentPrompt":"Pull up the track record for Orchard Data's trading system — I want to see the win rates by lane, the forecaster's hit rate, and how it's stacking up against SPY.","exampleUseCases":[{"title":"Evaluate trading system before subscribing","prompt":"Show me the full track record for this market data service — specifically the win rate on credit spreads, how accurate the volatility forecaster has been, and whether it's actually outperforming SPY before I pay for it."},{"title":"Monitor forecaster accuracy over time","prompt":"What's the current hit rate on the Orchard Data forecaster and how has the walk-forward volatility accuracy been holding up across scored predictions?"},{"title":"Compare strategy edge against benchmark","prompt":"I want to know how much edge the Orchard Data system has over SPY — give me the edge percentage and both multiples so I can see if it's worth using."}],"resultDescription":"A JSON object containing: an array of strategy lanes with trade counts and win rates (e.g. credit_spread), a forecaster object with live ledger hit rate and number of scored predictions plus walk-forward volatility accuracy, and a system_vs_spy comparison showing edge percentage, SPY return multiple, and system return multiple.","failureModes":["Payment required (402) if x402 USDC payment header is missing or insufficient","Invalid properties filter returns empty or error response","Service unavailable if Cloudflare Worker is down","Rate limiting if too many calls without valid payment"],"whenToPreferThis":"Choose this endpoint when you need a quantitative track record of a paid AI-native market data service that uses micropayments (x402/USDC), and you want to evaluate its forecasting accuracy, per-lane win rates, and benchmark comparison against SPY before committing to ongoing usage. It is specifically useful for agents that need to programmatically audit the credibility of a trading signal service.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-13T18:39:03.293Z","isFirstParty":false}