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dragon7.space Author Market-Claim Scorecard
x402
dragon7.space Author Market-Claim Scorecard is a paid API for AI agents from dragon7.space, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-27).
Returns a historical scorecard for a given author's market claims, including hit rate, Wilson confidence interval, direction breakdown, coverage, and freshness metrics.
Price / call$0.02
Success—
StatusUnknown
How this service works
Return an author's historical market-claim scorecard with resolved sample size, hit rate, Wilson confidence interval, direction breakdown, coverage and freshness.
Output
Returns a structured scorecard object for the specified author handle, including: resolved sample size (number of claims evaluated), hit rate (fraction of correct predictions), Wilson confidence interval (lower and upper bounds), direction breakdown (e.g. bullish vs bearish calls and their accuracy), coverage (breadth of claims across topics or assets), and freshness (recency of the underlying data).
Example use cases
Vetting a financial influencer before following
“I keep seeing @tradingwithmax pop up in my feed making bold market calls — can you pull their scorecard and tell me their actual hit rate and how statistically confident we can be in that number?”
Comparing forecasters for a research report
“I'm writing a piece on market pundits — can you get the historical scorecard for @macroedge including their resolved sample size, direction breakdown, and Wilson confidence interval so I can compare them to others?”
Checking freshness of a forecaster's track record
“Before I cite @alphacaller in my newsletter, can you check their scorecard to see how many claims have been resolved and how recently the data was last updated?”
Technical details
Endpoint
GEThttps://dragon7.space/v1/authors/:handle/scorecard?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a statistically grounded, structured credibility scorecard for a specific author's market predictions — especially when Wilson confidence intervals and direction breakdown matter. Prefer this over generic social analytics tools when you need resolved claim data (not just follower counts or engagement) and when vetting forecasters for research, investment decisions, or editorial purposes.
Side effects
- Author handle not found — returns 404 if the handle has no tracked claims
- Insufficient resolved claims — scorecard may return with very wide confidence intervals or a low sample size warning
- Handle format error — invalid or malformed handle strings may return a 400 validation error
- Stale data — freshness field may indicate the scorecard hasn't been updated recently
- Rate limit or payment failure — missing or invalid x402 payment header may result in 402 response
Tags
x402
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