# Competitor Supplied Prices — Base-100 Series + Date by Category Pivot

> Competitor Supplied Prices — Base-100 Series + Date by Category Pivot 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).

Generates two analytical reports (Base-100 index series and date-by-category pivot) from user-supplied competitor pricing data (list_price, package_quantity) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-167?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-base-100-series-date-by-category-pivot-e2899d07
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cKrGM_wQapI2tXkz2fpE3

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-base-100-series-date-by-category-pivot-e2899d07 -d '<json body>'
```

Example prompt: I have competitor pricing data with list prices and package quantities across several company groups over the past quarter — can you build me a Base-100 price index series and a date-by-category pivot table from these records, using row 0 as the base index?

## When to prefer this

Choose this endpoint when you have already collected competitor pricing data (list_price or package_quantity) and need two complementary analytical outputs — a Base-100 normalized time series and a date-by-category pivot — computed locally without any external data fetching, prediction, or live lookups. It is ideal for batch offline analysis of up to 200 competitor price records at very low cost ($0.01 USDC for both reports). Prefer alternatives if you need live price lookups, forecasting, or more than 200 rows processed in a single call.

## Known failure modes

- Fewer than 1 row supplied — minimum of 1 row required
- More than 200 rows supplied — requests exceeding maxItems:200 are rejected
- Invalid date format — dates must match YYYY-MM-DD pattern
- base_index out of range — must be between 0 and 199 and within the actual row count
- Missing required fields (row_id, company_group, date, list_price, package_quantity) — request fails validation
- Invalid field value — only 'list_price' or 'package_quantity' are accepted
- Null numeric values in the base row may cause indexing errors
- Payment failure or insufficient USDC balance — endpoint requires 0.01 USDC per call

## How this service works

Competitor supplied prices — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot 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 Base-100 normalized index series showing how the selected field (list_price or package_quantity) changes relative to the base row across dates and company groups, and (2) a date-by-category pivot table summarizing the selected field by date and company group. Both reports are computed locally from the supplied data with no external lookups.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-base-100-series-date-by-category-pivot-e2899d07/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)