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Token Supplied Rule-Flag Fraction — IQR Outlier Flags
x402
Token Supplied Rule-Flag Fraction — IQR Outlier Flags 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 IQR-based outlier flags for the fraction of flagged rules among supplied token observations, returning a deterministic statistical verdict per row.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supplied rule-flag fraction — IQR outlier flags: IQR outlier flags 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 iqr outlier flags report.
Output
Returns IQR-based outlier flag verdicts for each submitted token observation row, indicating which rows have rule-flag fractions that fall outside the interquartile range bounds. The result is a deterministic statistical calculation — not a live scan, safety proof, or trade recommendation.
Example use cases
Token compliance anomaly screening
“I have a batch of token observations with rule evaluation counts. Can you run the IQR outlier detection on the rule-flag fractions? Here are 5 rows: flagged_rules [3, 1, 9, 2, 2] and evaluated_rules [10, 10, 10, 10, 10]. Flag any that look like outliers.”
Periodic rule-flag health check
“Every day I collect rule evaluation stats across our tracked tokens. Run the IQR outlier flag check on today's batch — rows are: [{flagged:1, evaluated:12},{flagged:2, evaluated:12},{flagged:8, evaluated:12},{flagged:2, evaluated:11}] — and tell me which tokens have anomalous flag fractions.”
Quality gate for token rule data
“Before we include these tokens in our report, I need to know if any of them have suspiciously high or low rule-flag fractions compared to the group. Run the IQR outlier analysis on these 6 rows: flagged_rules [0,1,2,2,1,10] and evaluated_rules [5,5,5,5,5,5].”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-flag-share-outliers?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a fast, deterministic IQR-based statistical outlier verdict on the fraction of flagged compliance rules among a set of token observations (2–200 rows). Prefer it over generic statistics libraries when you want a bounded, pre-configured report with per-row outlier flags at low cost ($0.01 USDC). Not appropriate for live scanning, trade signals, or safety proofs.
Side effects
- Fewer than 2 rows submitted — minimum array size is 2
- evaluated_rules set to 0 — violates exclusiveMinimum constraint and will be rejected
- More than 200 rows submitted — exceeds maxItems limit
- Non-numeric or missing flagged_rules or evaluated_rules fields — schema validation error
- Negative values for flagged_rules or evaluated_rules — violates minimum:0 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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