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Token Supplied Rule-Flag Fraction Distribution Histogram
x402
Token Supplied Rule-Flag Fraction Distribution Histogram 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 a distribution histogram of the rule-flag fraction (flagged_rules / evaluated_rules) across a batch of token observations, bucketed into configurable bins.
Price / call$0.01
Success—
StatusUnknown
How this service works
Token supplied rule-flag fraction — Distribution histogram: Distribution histogram 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 distribution histogram report.
Output
A bounded distribution histogram report showing how token observations are distributed across bins according to their rule-flag fraction (flagged_rules / evaluated_rules). Each bin represents a range of flag-fraction values and the count of observations falling within that range. The result is deterministic given the same input rows and bin count.
Example use cases
Token compliance flag rate spread analysis
“I have 50 token observations with their flagged and evaluated rule counts — can you bucket them into 8 bins and show me a histogram of the flag fraction distribution so I can see if most tokens are low-risk or if there's a heavy tail?”
Anomaly detection in rule evaluation batches
“Run a 5-bin histogram on these token rule-flag fractions for me: [{flagged_rules: 0, evaluated_rules: 5}, {flagged_rules: 5, evaluated_rules: 5}, {flagged_rules: 1, evaluated_rules: 10}] — I want to check whether any bin is unusually concentrated, which might indicate anomalous evaluation patterns.”
Portfolio token risk distribution summary
“Across my portfolio of supplied tokens, I have a list of flagged-rule and evaluated-rule counts per token. Break the flag fraction into 15 bins and give me the histogram so I can report on the overall risk distribution to my team.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-bx-token-flag-share-histogram?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a quick, deterministic frequency histogram of flag-fraction ratios across a batch of token observations (2–200 rows) with configurable bin granularity (1–30 bins). Prefer it over manual computation when you want a structured histogram output without writing aggregation logic. It is not a live scan, real-time safety assessment, or trade signal — use it strictly for distributional analysis of pre-collected rule evaluation data.
Side effects
- Fewer than 2 rows provided — minimum of 2 observations required
- evaluated_rules is 0 for any row — exclusiveMinimum enforced, division by zero prevented at schema level
- bins exceeds 30 or is less than 1 — out-of-range bin count rejected
- More than 200 rows submitted — maxItems limit exceeded
- Malformed row objects missing required flagged_rules or evaluated_rules fields
- Payment failure or insufficient USDC balance — request not processed
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array |
Tags
x402
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