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Token Supplied Rule-Flag Fraction — Benchmark Correlation
x402
Token Supplied Rule-Flag Fraction — Benchmark Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-12).
Computes the Pearson (or similar) correlation between the rule-flag fraction (flagged_rules / evaluated_rules) across token observations and a set of user-supplied benchmark values.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supplied rule-flag fraction — Benchmark correlation: Benchmark correlation for Token supplied rule-flag fraction. Supplied token observations only. Deterministic calculation or caller-threshold verdict, not a live scan, safety proof or trade recommendation. Specialised preset in a shared 50-profile, 20-operation engine. 0.01 USDC includes one bounded benchmark correlation report.
Output
Returns a bounded benchmark correlation report containing the correlation coefficient(s) between the computed flag-fraction series (flagged_rules / evaluated_rules per row) and the supplied benchmark values, along with a deterministic verdict against the caller's threshold. No live scan or trade recommendation is included.
Example use cases
Token compliance rate vs market benchmarks
“I have a series of token compliance checks — flagged_rules were 1, 3, 2, 4 out of evaluated_rules of 10, 12, 10, 14 — please correlate the flag fraction against benchmarks [5, 15, 25, 35] to see how they track.”
Validating rule-flag stability across token batches
“Can you check how correlated my token rule-flag fractions are with benchmark reference values? My observations have flagged_rules [0, 1, 2, 3] and evaluated_rules [10, 10, 10, 10], benchmark series is [100, 200, 300, 400].”
Detecting benchmark divergence in flagging rates
“Run a benchmark correlation report on these token flag observations: flagged 5, 6, 4, 7 out of evaluated 20, 22, 18, 25, benchmarks are [50, 60, 40, 70] — I want to know how closely the flag share tracks those reference numbers.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-flag-share-correlation?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a deterministic, bounded statistical correlation between a token's rule-flagging fraction and a reference benchmark series, and you already have the raw flagged/evaluated rule counts per observation. It is not a live risk scanner or trading signal — prefer it for batch analytical reporting, compliance benchmarking, and threshold-verdict workflows where reproducibility matters.
Side effects
- Fewer than 2 rows provided — minItems:2 not met, request rejected
- evaluated_rules value of 0 — exclusiveMinimum:0 violation, request rejected
- Row count and benchmark array length mismatch may produce undefined correlation
- Values exceeding maximum bounds (1e16 for rules, 1e18 for benchmarks) rejected
- Missing required fields flagged_rules or evaluated_rules in any row causes validation error
- Non-numeric values in rows or benchmarks array cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| benchmarks | array |
Tags
x402
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