# Procurement Research String Normalisation and Exact Row Deduplication

> Procurement Research String Normalisation and 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 2026-10-19).

Normalises strings and removes exact duplicate rows from procurement research records containing quoted_amount and quoted_units fields, producing 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-11-020?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/procurement-research-string-normalisation-and-exact-row-deduplication-c2fb017a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AwXc0K-h4jqXdRM3JfkWK

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 procurement-research-string-normalisation-and-exact-row-deduplication-c2fb017a -d '<json body>'
```

Example prompt: Can you clean up this procurement dataset by normalising the string fields and removing any exact duplicate rows? I have up to 200 records with columns row_id, company_group, date, quoted_amount, and quoted_units, and I need 2 analytical reports back.

## When to prefer this

Choose this endpoint when you need offline, deterministic string normalisation and exact duplicate removal on procurement records (quoted_amount, quoted_units) with no live data lookup or external dependencies, and want two analytical report outputs for up to 200 rows at a flat cost of $0.01 USDC.

## Known failure modes

- Exceeding 200 row limit causes rejection
- Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) causes validation error
- Invalid date format (not YYYY-MM-DD) causes schema error
- quoted_amount or quoted_units values outside ±1,000,000,000,000 range cause validation failure
- Empty rows array causes rejection

## How this service works

Procurement research — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication for supplied procurement research records (quoted_amount, quoted_units). 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 2 independent analytical reports covering (1) string-normalised procurement records and (2) exact row deduplication results, processed entirely from the supplied data using local analytical engines with no external lookups or predictions.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/procurement-research-string-normalisation-and-exact-row-deduplication-c2fb017a/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)