# Procurement Research — String Normalisation + Numeric Row Ordering

> Procurement Research — String Normalisation + Numeric Row Ordering 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 company group strings and orders rows numerically by quoted_amount or quoted_units for up to 200 procurement research records, producing 2 analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-11-025?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/procurement-research-string-normalisation-numeric-row-ordering-571c939f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_n_UHV-kVUUY53Bh_brobw

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-numeric-row-ordering-571c939f -d '<json body>'
```

Example prompt: Can you normalise the company group names and sort these procurement records by quoted_amount? I have 4 rows: row-1 group-a 2026-10-01 amount 10 units 1, row-2 group-b 2026-10-02 amount 20 units 2, row-3 group-a 2026-10-03 amount 15 units 3, row-4 group-b 2026-10-04 amount 30 units 4 — I need both the string normalisation and numeric ordering reports.

## When to prefer this

Choose this endpoint when you need both string normalisation of company group labels and numeric row ordering of procurement records in a single low-cost call ($0.01 USDC). Ideal for batch preprocessing of up to 200 supplier quote rows before further analysis. Prefer this over general-purpose data tools when working specifically with procurement datasets containing quoted_amount and quoted_units fields and needing dual analytical outputs.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) cause row-level rejection
- Invalid date format (non-YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array is rejected (minItems: 1)
- Invalid field enum value (not quoted_amount or quoted_units) causes request failure
- Payment failure results in no report being returned

## How this service works

Procurement research — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering 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

Two analytical reports per call: (1) a string-normalised view of company_group labels across all input rows, and (2) the rows ordered numerically by the selected field (quoted_amount or quoted_units). No external lookups, predictions, or live data — purely local computation on the supplied records.

## 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
  },
  "field": {
   "enum": [
    "quoted_amount",
    "quoted_units"
   ],
   "type": "string",
   "default": "quoted_amount"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/procurement-research-string-normalisation-numeric-row-ordering-571c939f/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)