# Structured Data Observations — Numeric Row Ordering + Two-Measure Correlation

> Structured Data Observations — 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 2026-10-26).

Analyzes up to 200 rows of structured observation records by applying numeric row ordering and computing two-measure correlation between valid_items and total_items fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-08-120?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/structured-data-observations-numeric-row-ordering-two-measure-3b456a2d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_I4EMmHwO5aDYCouZ_doUw

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 structured-data-observations-numeric-row-ordering-two-measure-3b456a2d -d '<json body>'
```

Example prompt: Analyze these 4 observation records — row-1 group-a 2026-10-01 valid_items=10 total_items=1, row-2 group-b 2026-10-02 valid_items=20 total_items=2, row-3 group-a 2026-10-03 valid_items=15 total_items=3, row-4 group-b 2026-10-04 valid_items=30 total_items=4 — and give me both the numeric row ordering and the two-measure correlation between valid_items and total_items.

## When to prefer this

Choose this endpoint when you have up to 200 rows of structured observation data with two numeric measures (valid_items, total_items) and need both a numeric row ordering and a correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical passes on pre-collected datasets where no live lookup, external prediction, or human professional assessment is required. Prefer alternatives if you need more than 200 rows, more than two measures, time-series forecasting, or real-time data enrichment.

## Known failure modes

- More than 200 rows submitted — endpoint rejects with a validation error
- Missing required row fields (row_id, date, valid_items, total_items) causes schema validation failure
- Date field not in YYYY-MM-DD format causes pattern validation error
- Null values in both numeric fields may produce undefined correlation result
- Invalid field enum value (not 'valid_items' or 'total_items') causes rejection

## How this service works

Structured data observations — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied structured data observations records (valid_items, total_items). 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 independent analytical reports computed locally from the supplied rows: (1) a numeric row ordering report that ranks/sorts the rows by the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between valid_items and total_items. No external data is fetched; all computation uses shared local analytical engines.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/structured-data-observations-numeric-row-ordering-two-measure-3b456a2d/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)