# Promotion Observations — Duplicate Key Report + Category Frequencies

> Promotion Observations — Duplicate Key Report + 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 2026-10-23).

Analyzes up to 200 promotion observation records (discount_amount, units_sold) to produce a duplicate row_id report and category frequency counts for store_group and date fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-retail-05-057?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/promotion-observations-duplicate-key-report-category-frequencies-e82f01b7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BRlLY3pgW3j3o_vZslZW5

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 promotion-observations-duplicate-key-report-category-frequencies-e82f01b7 -d '<json body>'
```

Example prompt: Can you check my promotion records for duplicate row IDs and tell me the frequency of each store group and date? Here are up to 200 rows with fields row_id, store_group, date, discount_amount, and units_sold.

## When to prefer this

Choose this endpoint when you need to simultaneously detect duplicate row IDs and compute category frequency distributions on promotion data (discount_amount, units_sold) in a single low-cost call. It is ideal for lightweight data quality audits on small-to-medium promotion datasets (up to 200 rows) without requiring a full analytics platform. It does not perform predictions, live lookups, or external data enrichment — it works purely on the data you supply.

## Known failure modes

- Fewer than 1 row submitted — request rejected due to minItems constraint
- More than 200 rows submitted — request rejected due to maxItems limit
- row_id missing or empty string — validation error
- date field does not match YYYY-MM-DD pattern — validation error
- discount_amount or units_sold outside allowed numeric range — validation error
- Malformed JSON payload — HTTP 400 or similar parse error
- Payment of 0.01 USDC not completed — request blocked by x402 payment requirement

## How this service works

Promotion observations — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies for supplied promotion observations records (discount_amount, units_sold). 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 duplicate key report identifying any row_ids that appear more than once in the submitted dataset, and (2) category frequency tables showing how often each distinct value of store_group and date appears across the supplied promotion observation rows. Both reports are computed locally from the submitted data with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/promotion-observations-duplicate-key-report-category-frequencies-e82f01b7/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)