# Price Basket Observations — Record Quality Audit + Category Frequencies

> Price Basket Observations — Record Quality Audit + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Runs a record quality audit and category frequency analysis on up to 200 price basket observation rows (item_price, quantity_weight), returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-economics-07-006?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/price-basket-observations-record-quality-audit-category-frequencies-499fd7a4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_oHTBtfKTGUVLzFISJOhCP

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 price-basket-observations-record-quality-audit-category-frequencies-499fd7a4 -d '<json body>'
```

Example prompt: Can you audit the quality of these price basket records and give me a category frequency breakdown? I have up to 200 rows with fields like row_id, region, date, item_price, and quantity_weight — I want to know which rows have missing or bad values and how the categories are distributed.

## When to prefer this

Choose this endpoint when you have tabular price basket observation data (with item_price and quantity_weight fields) and need both a data quality audit and category frequency summary in a single $0.01 call. It is ideal for pre-analysis validation of economics or retail datasets of up to 200 rows where no live lookup, external enrichment, or prediction is needed — purely local analytical computation.

## Known failure modes

- Input array is empty (minItems:1 not met) — validation error
- More than 200 rows submitted — request rejected (maxItems:200)
- Missing required fields (row_id, region, date, item_price, quantity_weight) on any row — validation error
- Date field does not match YYYY-MM-DD format — pattern validation failure
- item_price or quantity_weight outside allowed numeric range — rejected
- Payment of 0.01 USDC not fulfilled — 402 Payment Required response

## How this service works

Price basket observations — Record quality audit + Category frequencies: Record quality audit + Category frequencies for supplied price basket observations records (item_price, quantity_weight). 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) a record quality audit detailing completeness, validity, and data issues per row across item_price and quantity_weight fields; and (2) a category frequency report showing how often each distinct category value (e.g. region, date) appears across the supplied rows. Both reports are computed locally with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/price-basket-observations-record-quality-audit-category-frequencies-499fd7a4/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)