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Token Assessment Evidence Coverage — IQR Outlier Flags
x402
Token Assessment Evidence Coverage — 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 2026-10-15).
Computes IQR-based outlier flags for token assessment evidence coverage ratios given observed vs. requested field counts across multiple rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token assessment evidence coverage — IQR outlier flags: IQR outlier flags for Token assessment evidence coverage. 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 a bounded IQR outlier flags report indicating which submitted rows have observed-to-requested field coverage ratios that fall outside interquartile range thresholds, based on deterministic statistical calculation across the submitted observations (no live scan or trade signal).
Example use cases
Token data completeness audit
“I have a batch of token assessment records and want to know which ones have suspiciously low or high evidence coverage — can you run IQR outlier detection on these rows? Row 1: 5 observed out of 10 requested, Row 2: 9 out of 10, Row 3: 2 out of 10, Row 4: 8 out of 9, Row 5: 10 out of 10.”
Identify poorly covered token observations
“Check these token field coverage numbers for IQR outliers — I've got 6 observations: 7/10, 9/11, 3/10, 8/10, 8.5/11, 7.5/10. Flag any that look statistically unusual.”
Quality gate for token evidence pipeline
“Before I proceed with my token analysis pipeline, I need to know if any of these evidence coverage ratios are IQR outliers: observed 12 of 15 requested, 14 of 15, 1 of 15, 13 of 15, 12 of 14. Flag the bad ones.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-evidence-coverage-outliers?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a cheap, fast, deterministic IQR-based outlier detection specifically on token assessment evidence coverage (observed vs. requested field ratios) for 2–200 row batches. Prefer this over general-purpose stats libraries when you want a hosted, pay-per-call result with no setup, or when integrating into an agent pipeline that already uses the x402 payment protocol.
Side effects
- Fewer than 2 rows submitted — minimum array length not met
- requested_fields set to 0 or missing — exclusiveMinimum violation
- More than 200 rows submitted — maxItems exceeded
- Non-numeric values passed for observed_fields or requested_fields
- Network or payment failure via x402 protocol
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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