# Supplier Delivery Evidence — Numeric Row Ordering + Two-Measure Correlation

> Supplier Delivery Evidence — 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 2026-10-25).

Sorts supplier delivery records numerically by row and computes a correlation between deliveries and on_time_deliveries for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-15-120?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/supplier-delivery-evidence-numeric-row-ordering-two-measure-correlation-0407cff9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-t2k1y3wm08eU3VSiISEo

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 supplier-delivery-evidence-numeric-row-ordering-two-measure-correlation-0407cff9 -d '<json body>'
```

Example prompt: I have supplier delivery records for groups A and B across October 2026 — can you sort them numerically by row and compute the correlation between total deliveries and on_time_deliveries? Here are the rows: row-1 group-a 2026-10-01 deliveries=10 on_time=1, row-2 group-b 2026-10-02 deliveries=20 on_time=2, row-3 group-a 2026-10-03 deliveries=15 on_time=3, row-4 group-b 2026-10-04 deliveries=30 on_time=4. Use deliveries as the field.

## When to prefer this

Choose this endpoint when you already have supplier delivery evidence data in hand (up to 200 rows) and need both a numerically ordered row view and a correlation statistic between deliveries and on_time_deliveries — all in one $0.01 call. It is preferable when no external data lookup or prediction is needed, just local analytical computation on your own records.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, deliveries, on_time_deliveries, company_group) cause validation errors
- Invalid date format (must match YYYY-MM-DD pattern) causes schema rejection
- Null values in both measure columns may produce undefined correlation
- field enum value not in ['deliveries','on_time_deliveries'] causes rejection
- Payment of 0.01 USDC not completed via x402 protocol results in 402 response

## How this service works

Supplier delivery evidence — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied supplier delivery evidence records (deliveries, on_time_deliveries). 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 numerically row-ordered view of the supplied delivery records, and (2) a two-measure correlation result quantifying the statistical relationship between the deliveries and on_time_deliveries columns across up to 200 input rows. No external data is fetched; all computation is performed locally on the supplied data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/supplier-delivery-evidence-numeric-row-ordering-two-measure-correlation-0407cff9/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)