# Competitor Supplied Prices — String Normalisation + Daily Sum Series

> Competitor Supplied Prices — String Normalisation + Daily Sum Series 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).

Runs two local analytical reports on supplied competitor pricing data: string normalisation of company/date fields and a daily sum series for list_price or package_quantity, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-027?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-string-normalisation-daily-sum-series-68c45770
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_jK3km_7XCd17gFjFOF1Zg

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-string-normalisation-daily-sum-series-68c45770 -d '<json body>'
```

Example prompt: I've got a batch of competitor pricing records — up to 200 rows with row IDs, company groups, dates, list prices, and package quantities — can you normalize the strings and give me a daily sum series for list_price?

## When to prefer this

Choose this endpoint when you have a batch of up to 200 competitor pricing records and need both a string normalisation pass and a daily sum time series in a single low-cost call ($0.01 USDC). Prefer it over general analytics services when working offline with supplied data, no live lookup is needed, and you want two paired reports in one shot.

## Known failure modes

- Exceeding 200 row limit returns an error
- Malformed date strings not matching YYYY-MM-DD pattern rejected
- Missing required fields (row_id, company_group, date, list_price, package_quantity) cause validation failure
- Invalid field selector (not list_price or package_quantity) returns error
- Numeric values outside ±1,000,000,000,000 boundary rejected

## How this service works

Competitor supplied prices — String normalisation + Daily sum series: String normalisation + Daily sum series 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

Two analytical reports: (1) a string normalisation report cleaning company_group and date field values across the supplied rows, and (2) a daily sum series aggregating the selected numeric field (list_price or package_quantity) by date — both computed locally on the supplied data, 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-string-normalisation-daily-sum-series-68c45770/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)