# Burned Token Fraction IQR Outlier Detection

> Burned Token Fraction IQR Outlier Detection 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 the reported burned token fraction (burned/issued ratio) across a set of token observations

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-bx-token-burned-supply-outliers?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/burned-token-fraction-iqr-outlier-detection-403dea57
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_41aEMXp4CjEx2dVizzCFc

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 burned-token-fraction-iqr-outlier-detection-403dea57 -d '<json body>'
```

Example prompt: Check whether any of these token observations have outlier burned fractions using IQR analysis: [{burned_tokens: 100000, issued_tokens: 2000000}, {burned_tokens: 5000000, issued_tokens: 2100000}, {burned_tokens: 102000, issued_tokens: 2050000}, {burned_tokens: 99000, issued_tokens: 1980000}] — flag whichever rows look statistically anomalous.

## When to prefer this

Choose this endpoint when you need a fast, cheap, deterministic IQR-based outlier check specifically on burned token fraction (burned/issued ratio) across multiple observations. Best suited for pre-analysis validation, consistency auditing, or flagging suspicious burn reports in token datasets of up to 200 rows. Not appropriate for real-time safety scanning, trade recommendations, or outlier detection on non-burn token metrics.

## Known failure modes

- Fewer than 2 rows submitted — minimum 2 observations required
- More than 200 rows submitted — exceeds maxItems limit
- issued_tokens value of 0 — excluded by exclusiveMinimum constraint
- burned_tokens or issued_tokens values exceed 10^16 maximum
- Malformed row objects missing required burned_tokens or issued_tokens fields
- Payment failure via x402 protocol results in no report returned

## How this service works

Reported burned token fraction — IQR outlier flags: IQR outlier flags for Reported burned token 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 flags for each submitted token observation row, indicating which burned token fraction values fall outside the interquartile range bounds. The output is a deterministic, bounded report — not a live scan or trade recommendation.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "burned_tokens",
     "issued_tokens"
    ],
    "properties": {
     "burned_tokens": {
      "type": "number",
      "default": 100000,
      "maximum": 10000000000000000,
      "minimum": 0
     },
     "issued_tokens": {
      "type": "number",
      "default": 2000000,
      "maximum": 10000000000000000,
      "minimum": 0,
      "exclusiveMinimum": 0
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "burned_tokens": 100000,
     "issued_tokens": 2000000
    },
    {
     "burned_tokens": 110000.00000000001,
     "issued_tokens": 2200000
    },
    {
     "burned_tokens": 100000,
     "issued_tokens": 2000000
    },
    {
     "burned_tokens": 110000.00000000001,
     "issued_tokens": 2200000
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/burned-token-fraction-iqr-outlier-detection-403dea57/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)