# Unit Contribution IQR Outlier Flags

> Unit Contribution 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 2026-10-18).

Flags unit contribution observations that fall beyond 1.5× the interquartile range, returning a JSON report with formula, units, and limitations.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-finance-unit-contribution-outliers?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/unit-contribution-iqr-outlier-flags-4a211681
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_UFptJIG9RNnOIL2YqOm5V

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 unit-contribution-iqr-outlier-flags-4a211681 -d '<json body>'
```

Example prompt: Can you flag any IQR outliers in this unit contribution data — I have four products with unit prices of 20, 22, 20, and 22 and variable costs of 12, 13.20, 12, and 13.20 respectively? I want to know which observations fall beyond 1.5 times the interquartile range.

## When to prefer this

Choose this endpoint when you need a fast, bounded statistical outlier screen on unit contribution data using the IQR method (1.5× rule) and want a structured JSON result with formula and limitation disclosures. Prefer it over manual analysis or full-blown anomaly detection services when you have 2–200 records and need a lightweight, low-cost ($0.01 USDC) statistical flag report without live data feeds or financial advice.

## Known failure modes

- Fewer than 2 rows submitted — minimum row count not met
- unit_price or variable_cost_per_unit missing from a row — required fields absent
- Values exceed maximum of 1,000,000,000,000 — out-of-range inputs
- More than 200 rows submitted — exceeds maxItems limit
- Inconsistent currency or reporting periods across rows — results may be misleading but no error raised

## How this service works

Unit contribution - IQR outlier flags: Flag observations beyond 1.5 times the interquartile range; statistical flags are not errors or fraud findings. Metric: Unit contribution. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded iqr outlier flags report.

## Output

A JSON object containing IQR-based outlier flags for each submitted row, along with the formula used to calculate unit contribution, units, and explicit limitations (flags are statistical, not fraud or error determinations).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "unit_price",
     "variable_cost_per_unit"
    ],
    "properties": {
     "unit_price": {
      "type": "number",
      "default": 20,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period"
     },
     "variable_cost_per_unit": {
      "type": "number",
      "default": 12,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "unit_price": 20,
     "variable_cost_per_unit": 12
    },
    {
     "unit_price": 22,
     "variable_cost_per_unit": 13.200000000000001
    },
    {
     "unit_price": 20,
     "variable_cost_per_unit": 12
    },
    {
     "unit_price": 22,
     "variable_cost_per_unit": 13.200000000000001
    }
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/unit-contribution-iqr-outlier-flags-4a211681/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)