# Competitor Supplied Prices — String Normalisation + Exact Row Deduplication

> Competitor Supplied Prices — String Normalisation + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Normalises strings and deduplicates exact rows in competitor-supplied price records (list_price, package_quantity), producing 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-07-020?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/competitor-supplied-prices-string-normalisation-exact-row-deduplication-a95f5d68
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3Yk-O5YZP9YrpjMjdzAOW

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-exact-row-deduplication-a95f5d68 -d '<json body>'
```

Example prompt: I have a batch of up to 200 competitor price records with list prices and package quantities — can you normalise the strings and remove any exact duplicate rows, then give me 2 analytical reports? Here's the data: [{"row_id":"row-1","company_group":"group-a","date":"2026-10-01","list_price":10,"package_quantity":1},{"row_id":"row-2","company_group":"group-b","date":"2026-10-02","list_price":20,"package_quantity":2}].

## When to prefer this

Choose this endpoint when you have competitor-supplied pricing records (list_price, package_quantity) that need string normalisation and exact duplicate removal before analysis or import, and you want two structured reports from a single low-cost call. It is ideal for small-to-medium batches (up to 200 rows) where no live lookup, prediction, or external data enrichment is needed — purely local analytical processing of your own supplied data.

## Known failure modes

- Submitting more than 200 rows causes rejection (maxItems exceeded)
- Missing required fields (row_id, company_group, date, list_price, package_quantity) causes validation error
- Date values not matching YYYY-MM-DD pattern are rejected
- row_id values exceeding 80 characters are rejected
- Numeric fields outside ±1,000,000,000,000 range are rejected

## How this service works

Competitor supplied prices — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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 independent analytical reports covering the submitted competitor price records, reflecting string normalisation applied to text fields and exact row deduplication of list_price and package_quantity entries, processed locally without external lookups or predictions.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/competitor-supplied-prices-string-normalisation-exact-row-deduplication-a95f5d68/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)