# Token Supplied Rule-Flag Fraction — IQR Outlier Flags

> 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.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-token-flag-share-outliers?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-12
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/token-supplied-rule-flag-fraction-iqr-outlier-flags-f0372842
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_FNRG9309ZqbOSkoOr1e5C

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability token-supplied-rule-flag-fraction-iqr-outlier-flags-f0372842 -d '<json body>'
```

Example prompt: Run an IQR outlier check on these token rule-flag fractions — I have 4 observations where flagged_rules are 2, 2.2, 2, and 2.2, and evaluated_rules are 10, 11, 10, and 11. Tell me which ones are flagged as outliers.

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "flagged_rules",
     "evaluated_rules"
    ],
    "properties": {
     "flagged_rules": {
      "type": "number",
      "default": 2,
      "maximum": 10000000000000000,
      "minimum": 0
     },
     "evaluated_rules": {
      "type": "number",
      "default": 10,
      "maximum": 10000000000000000,
      "minimum": 0,
      "exclusiveMinimum": 0
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "flagged_rules": 2,
     "evaluated_rules": 10
    },
    {
     "flagged_rules": 2.2,
     "evaluated_rules": 11
    },
    {
     "flagged_rules": 2,
     "evaluated_rules": 10
    },
    {
     "flagged_rules": 2.2,
     "evaluated_rules": 11
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/token-supplied-rule-flag-fraction-iqr-outlier-flags-f0372842/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)