# Competitor Supplied Prices — Category Frequencies + Explicit Missing-Value Fill

> Competitor Supplied Prices — Category Frequencies + 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 pricing data to produce category frequency distributions and fill missing values in list_price or package_quantity fields using zero, mean, or median imputation.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-112?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-category-frequencies-explicit-missing-946b5755
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_c_aN-DcIJwer3HiwufGoe

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-category-frequencies-explicit-missing-946b5755 -d '<json body>'
```

Example prompt: I have competitor pricing records for two company groups — here are 150 rows with date, list_price, and package_quantity fields, some of which have missing list_price values. Can you run a category frequency analysis by company group and fill those missing list_prices using the median method?

## When to prefer this

Choose this endpoint when you have a batch of up to 200 competitor pricing records already on hand and need both a category frequency breakdown by company group and null-value imputation for list_price or package_quantity in a single cheap call. It is ideal for lightweight data cleaning pipelines prior to reporting or modeling. It does not perform live market lookups, forecasting, or external data enrichment — use it purely for local analytical operations on supplied data.

## Known failure modes

- Input array empty or exceeds 200 rows — validation error returned
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Unknown fill method value outside zero/mean/median enum causes error
- All values for the target field are null — mean/median fill may return zero or undefined
- row_id missing or exceeds 80 characters — row rejected
- Payment of 0.01 USDC not completed — request blocked by x402 paywall

## How this service works

Competitor supplied prices — Category frequencies + Explicit missing-value fill: Category frequencies + 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 analytical reports: (1) a category frequency table showing how often each company_group value appears across the submitted rows, and (2) an explicit missing-value fill report showing original null values in the specified field (list_price or package_quantity) replaced with the chosen fill value (zero, mean, or median computed from non-null rows). Up to 200 input rows are processed per call.

## 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-category-frequencies-explicit-missing-946b5755/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)