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Token Supplied Rule-Flag Fraction Threshold Classification
x402
Token Supplied Rule-Flag Fraction Threshold Classification 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).
Classifies whether the fraction of flagged rules out of evaluated rules for token observations falls within a specified threshold range, returning a bounded verdict for each row.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supplied rule-flag fraction — Threshold classification: Threshold classification 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 threshold classification report.
Output
Returns a bounded threshold classification report for each row of token observations, indicating whether the computed flagged-rule fraction (flagged_rules divided by evaluated_rules) falls within the specified lower and upper bounds. The result is deterministic and based solely on supplied input values, not live data or trade signals.
Example use cases
Token compliance flag rate check
“I have 4 token observations: first has 2 flagged out of 10 rules, second has 3 flagged out of 12, third has 1 flagged out of 8, fourth has 5 flagged out of 25. Tell me whether the flag fraction for each falls between 0 and 25 percent.”
Risk threshold verdict for token rule audit
“Check these two token rows — row 1: 5 flagged rules out of 50 evaluated, row 2: 8 flagged out of 40 — and classify whether the flagged fraction is within the lower bound of 5 and upper bound of 20.”
Alert threshold screening for token supply rules
“I want to screen 3 token supply observations for flag-rate threshold violations: observation A has 1 flagged out of 7, observation B has 2 flagged out of 9, observation C has 0 flagged out of 5 — use lower threshold 0 and upper threshold 15 to classify each.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-flag-share-threshold?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, deterministic, per-observation classification of whether a token's rule-flag fraction is within a caller-defined threshold range. It is purpose-built for token observation data with flagged and evaluated rule counts, and is ideal for compliance checks, audit screening, or risk banding where a live scan or probabilistic model is not needed. Prefer this over general-purpose stat tools when you have 2–200 token rows and want a simple bounded verdict at low cost.
Side effects
- evaluated_rules set to zero causes division-by-zero error since exclusiveMinimum:0 is enforced
- fewer than 2 rows submitted returns validation error
- more than 200 rows submitted exceeds maxItems limit
- lower threshold greater than upper threshold may produce no valid classifications
- non-numeric values in flagged_rules or evaluated_rules fail schema validation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| lower | number | |
| upper | number |
Tags
x402
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