{"uid":"cap_8PPWtUckAziFg24XnF_lH","slug":"signal-ledger-author-scorecard-905f0ec0","name":"Signal Ledger Author Scorecard","description":"Agent-searchable, evidence-linked financial-report risk checks and historical author scorecards. 面向 AI Agent 的可追溯财报风险体检与作者历史成绩查询。Research support only; not investment advice.","url":"https://43-135-4-66.sslip.io/v1/authors/%7Bhandle%7D/scorecard","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"pathParams":{"type":"object","required":["handle"],"properties":{"handle":{"type":"string","pattern":"^[A-Za-z0-9_]{1,15}$","description":"X creator handle without @"}}},"queryParams":{"type":"object","properties":{"type":{"enum":["all","stock","industry","market"],"type":"string","default":"all"},"window_days":{"type":"integer","default":3650,"maximum":3650,"minimum":1}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"ok":true,"scorecard":{"author":{"name":"Bill Brooklyn","handle":"BillBrooklyn10"},"coverage":{"total_claims":100,"resolved_claims":60,"unique_instruments":25},"performance":{"hits":24,"misses":36,"hit_rate":0.4,"confidence_interval_95":{"lower":0.2856,"upper":0.5264}}}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.02","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":"$0.02/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.02","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_jjM-YwC9Xf4_dxMuxIBT9","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.02","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Returns a historical accuracy scorecard for a given X (Twitter) financial analyst handle, including hit/miss rates and confidence intervals on their past claims.","exampleAgentPrompt":"Can you pull up the Signal Ledger scorecard for the X account @BillBrooklyn10 and show me their historical stock-call hit rate over all available data?","exampleUseCases":[{"title":"Vet a stock tipster before acting","prompt":"Before I follow any of the calls from @WallStreetWhisperer on X, can you check their Signal Ledger scorecard and tell me what their track record looks like — hit rate, number of resolved claims, and the 95% confidence interval?"},{"title":"Compare analyst accuracy for industry picks","prompt":"Pull up the Signal Ledger scorecard for @MarketMavenJane filtered to just industry-level claims over the last 365 days — I want to see how accurate she's been on sector calls specifically."},{"title":"Due diligence on a financial newsletter author","prompt":"I'm considering subscribing to a paid newsletter from @EquityEdgePro — can you look up their scorecard on Signal Ledger and tell me how many of their stock claims have been verified and what their actual hit rate is?"}],"resultDescription":"Returns a JSON object with the author's name and handle, claim coverage stats (total claims, resolved claims, unique instruments), and performance metrics including hits, misses, hit rate, and a 95% confidence interval for the hit rate.","failureModes":["Handle not found or no data — returns 404 or empty scorecard if the author has no tracked claims","Invalid handle format — pattern must match ^[A-Za-z0-9_]{1,15}$, returns 400 for malformed input","Payment failure — endpoint requires $0.02 USDC via x402 protocol; missing or invalid payment returns 402","No resolved claims — scorecard may return with zero hits/misses if all claims are still unresolved","window_days out of range — values below 1 or above 3650 are rejected"],"whenToPreferThis":"Use this endpoint when you need to assess the credibility or track record of a specific X/Twitter financial commentator before relying on their analysis. It is uniquely suited for AI agents doing pre-research due diligence on named authors, as it provides empirically scored hit/miss rates with statistical confidence intervals — not just follower counts or sentiment. Prefer this over generic web search when you need structured, evidence-linked historical accuracy data for a known handle.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T18:44:26.079Z","isFirstParty":false}