# Structured Data Observations — Record Quality Audit + Two-Measure Correlation

> Structured Data Observations — Record Quality Audit + 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).

Performs a record quality audit and two-measure correlation analysis on up to 200 rows of structured observations containing valid_items and total_items fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-web-08-015?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/structured-data-observations-record-quality-audit-two-measure-5862f2a6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_39PNRWCVv1SU7m6o4OLMG

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-record-quality-audit-two-measure-5862f2a6 -d '<json body>'
```

Example prompt: Can you run a record quality audit and a two-measure correlation on my observations dataset — here are 4 rows with row_id, site_group, date, valid_items, and total_items: row-1, group-a, 2026-10-01, 10, 1; row-2, group-b, 2026-10-02, 20, 2; row-3, group-a, 2026-10-03, 15, 3; row-4, group-b, 2026-10-04, 30, 4?

## When to prefer this

Choose this endpoint when you need both a data quality audit and a correlation analysis on structured observation data with valid_items and total_items fields in a single low-cost call. It is ideal for pre-processing validation of small-to-medium datasets (up to 200 rows) where you want to identify record completeness issues and understand the statistical relationship between two numeric measures simultaneously, without requiring external data lookups or predictions.

## Known failure modes

- Exceeding 200 rows causes rejection — trim dataset to at most 200 rows
- Missing required fields (row_id, site_group, date, valid_items, total_items) causes validation error
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error — at least 1 row required
- Payment failure via x402 protocol prevents processing

## How this service works

Structured data observations — Record quality audit + Two-measure correlation: Record quality audit + 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: (1) a record quality audit identifying completeness, validity, and anomalies across all submitted rows; and (2) a two-measure correlation report quantifying the statistical relationship between valid_items and total_items across the dataset. Both reports are generated locally from the supplied data with no external lookups.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/structured-data-observations-record-quality-audit-two-measure-5862f2a6/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)