# Procurement Research — Grouped Numeric Summary + Two-Measure Correlation

> Procurement Research — Grouped Numeric Summary + 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 2026-10-19).

Computes a grouped numeric summary and a two-measure correlation report (quoted_amount vs quoted_units) for up to 200 supplied procurement research records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-11-095?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-grouped-numeric-summary-two-measure-correlation-480b90a3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_WGYAl3f-7G5_A25imKfWi

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-grouped-numeric-summary-two-measure-correlation-480b90a3 -d '<json body>'
```

Example prompt: I have 150 procurement quote records with company groups, dates, quoted amounts, and quoted units — can you run a grouped numeric summary and a correlation between quoted_amount and quoted_units across all of them?

## When to prefer this

Choose this endpoint when you have up to 200 procurement records with quoted_amount and quoted_units and need both a grouped descriptive summary and a correlation between the two numeric measures in a single $0.01 call. It is ideal for offline batch analysis of supplier quote data without requiring external data sources, predictions, or live lookups. Prefer alternatives if you need more than 200 rows, more than two measures correlated, or real-time data enrichment.

## Known failure modes

- Fewer than 1 row provided — request rejected
- More than 200 rows submitted — exceeds row limit
- Missing required fields (row_id, company_group, date, quoted_amount, quoted_units) — validation error
- Non-date-format string in date field — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejected
- Insufficient numeric variance for correlation — may return NaN or undefined correlation coefficient

## How this service works

Procurement research — Grouped numeric summary + Two-measure correlation: Grouped numeric summary + 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) a grouped numeric summary (e.g., count, mean, min, max, std) of the selected measure broken down by company_group, and (2) a two-measure correlation between quoted_amount and quoted_units across all supplied rows. Both reports are computed locally from the provided data with no external lookups.

## 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-grouped-numeric-summary-two-measure-correlation-480b90a3/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)