# Sampling Observations — Record Quality Audit + Numeric Row Ordering

> Sampling Observations — Record Quality Audit + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Runs two local analytical reports on up to 200 sampling observation rows: a data quality audit and a numeric row ordering, covering sample_value and sample_weight fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-007?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sampling-observations-record-quality-audit-numeric-row-ordering-dc0b1d45
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6IZgCP6Y9SbPm-zmzlptm

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 sampling-observations-record-quality-audit-numeric-row-ordering-dc0b1d45 -d '<json body>'
```

Example prompt: Can you run a record quality audit and numeric row ordering on my sampling observations? I have 4 rows: row-1 (group-a, 2026-10-01, sample_value=10, sample_weight=1), row-2 (group-b, 2026-10-02, sample_value=20, sample_weight=2), row-3 (group-a, 2026-10-03, sample_value=15, sample_weight=3), and row-4 (group-b, 2026-10-04, sample_value=30, sample_weight=4) — order by sample_value.

## When to prefer this

Choose this endpoint when you need a combined data quality audit and numeric ordering report for sampling observation records (with sample_value and sample_weight fields), and you want both reports in a single $0.01 call for up to 200 rows with no external lookups or live data requirements. Prefer this over generic ETL tools when working specifically with grouped, dated sampling data and you need structured completeness and ranking outputs together.

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (non YYYY-MM-DD) causes row validation failure
- Missing required fields (row_id, dataset_group, date) causes schema validation error
- sample_value or sample_weight outside allowed range (-1e12 to 1e12) rejected
- Empty rows array (minItems:1 not met) causes error
- Invalid field enum value (not 'sample_value' or 'sample_weight') causes error

## How this service works

Sampling observations — Record quality audit + Numeric row ordering: Record quality audit + Numeric row ordering for supplied sampling observations records (sample_value, sample_weight). 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 highlighting data issues such as nulls, out-of-range values, or completeness problems in the sample_value and sample_weight fields, and (2) a numeric row ordering that ranks and sequences the submitted rows by the selected numeric field (sample_value or sample_weight). All computation is performed locally with no external data access.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-record-quality-audit-numeric-row-ordering-dc0b1d45/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)