# Competitor Supplied Prices — IQR Outlier Flags + Explicit Missing-Value Fill

> Competitor Supplied Prices — IQR Outlier Flags + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Analyzes up to 200 rows of competitor price data to flag IQR-based outliers and fill missing values using zero, mean, or median imputation for list_price or package_quantity fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-180?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/competitor-supplied-prices-iqr-outlier-flags-explicit-missing-value-239b224a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_yqinxGEzVyBTdWOnh9yfz

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 competitor-supplied-prices-iqr-outlier-flags-explicit-missing-value-239b224a -d '<json body>'
```

Example prompt: I have up to 200 rows of competitor pricing records with list_price and package_quantity fields — can you flag any IQR outliers and fill in the missing list_price values using median imputation?

## When to prefer this

Use this endpoint when you have a batch of up to 200 competitor pricing records and need both outlier detection (IQR-based) and missing-value imputation in one call. Ideal for pre-processing pipelines before modeling or reporting. Prefer this over generic statistical tools when you need two structured reports (outlier flags + filled data) together at low cost ($0.01 USDC). Not suitable for real-time price lookups, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Fewer than 1 row provided — request rejected
- More than 200 rows submitted — exceeds limit
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Unrecognized fill method or field enum value — schema validation error
- Missing required fields (row_id, company_group, date) — validation failure
- Insufficient data spread to compute meaningful IQR (e.g. all identical values)

## How this service works

Competitor supplied prices — IQR outlier flags + Explicit missing-value fill: IQR outlier flags + Explicit missing-value fill for supplied competitor supplied prices records (list_price, package_quantity). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports: (1) IQR outlier flags identifying which rows have list_price or package_quantity values outside the interquartile range, and (2) a dataset with explicit missing values filled using the chosen method (zero, mean, or median). No external data is fetched; all analysis is performed locally on the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "list_price",
     "package_quantity"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "list_price": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "package_quantity": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "list_price": 10,
     "company_group": "group-a",
     "package_quantity": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "list_price": 20,
     "company_group": "group-b",
     "package_quantity": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "list_price": 15,
     "company_group": "group-a",
     "package_quantity": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "list_price": 30,
     "company_group": "group-b",
     "package_quantity": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "list_price",
    "package_quantity"
   ],
   "type": "string",
   "default": "list_price"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-iqr-outlier-flags-explicit-missing-value-239b224a/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)