Signal Ledger Author Scorecard

x402

Signal Ledger Author Scorecard is a paid API for AI agents from 43-135-4-66.sslip.io, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).

Returns a historical accuracy scorecard for a given X (Twitter) financial analyst handle, including hit/miss rates and confidence intervals on their past claims.

Price / call$0.02

Seller volume →—

Success—

StatusUnknown

How this service works

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.

Output

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.

Example use cases

Vet a stock tipster before acting

“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?”

Compare analyst accuracy for industry picks

“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.”

Due diligence on a financial newsletter author

“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?”

Technical details

Endpoint

GEThttps://43-135-4-66.sslip.io/v1/authors/%7Bhandle%7D/scorecard

When to prefer

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.

Side effects

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

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "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
        }
      }
    }
  }
}

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How this service works

Output

Example use cases

Vet a stock tipster before acting

Compare analyst accuracy for industry picks

“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.”

Due diligence on a financial newsletter author

Technical details

Endpoint

GEThttps://43-135-4-66.sslip.io/v1/authors/%7Bhandle%7D/scorecard

When to prefer

Side effects

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

Input

Schema · Request body

Field	Type	Description
inputrequired	object
output	object

Output

Schema · Response

{
  "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
        }
      }
    }
  }
}