# Procurement Research — Numeric Row Ordering + Two-Measure Correlation

> Procurement Research — Numeric Row Ordering + Two-Measure Correlation 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).

Sorts procurement records by a numeric field and computes correlation between quoted_amount and quoted_units, delivering two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-11-120?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-numeric-row-ordering-two-measure-correlation-d2cdb64c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_uLDVnH_4O3DlY5hrhprwC

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-numeric-row-ordering-two-measure-correlation-d2cdb64c -d '<json body>'
```

Example prompt: Can you sort these 4 procurement records by quoted_amount and tell me the correlation between quoted_amount and quoted_units? The records are: 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).

## When to prefer this

Choose this endpoint when you have up to 200 procurement records with quoted_amount and quoted_units fields and need both a numeric sort/ranking and a two-measure correlation in a single low-cost call ($0.01 USDC). It is ideal for lightweight, offline procurement analytics without requiring external data sources, live lookups, or professional assessments.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes validation failure
- Null values in both quoted_amount and quoted_units may reduce correlation reliability
- Invalid field enum value (not 'quoted_amount' or 'quoted_units') causes rejection
- row_id missing or exceeding 80 characters fails schema validation

## How this service works

Procurement research — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation 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 two analytical reports: (1) the input procurement rows reordered numerically by the selected field (quoted_amount or quoted_units), and (2) a two-measure correlation analysis between quoted_amount and quoted_units across all supplied rows. No external lookups or predictions are included — all analysis is performed on the supplied data only.

## 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-numeric-row-ordering-two-measure-correlation-d2cdb64c/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)