# Sampling Observations — Record Quality Audit + Grouped Numeric Summary

> Sampling Observations — Record Quality Audit + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-15).

Runs two local analytical reports on up to 200 sampling observation rows: a data quality audit and a group-level numeric summary of sample_value or sample_weight fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-005?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-15
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/sampling-observations-record-quality-audit-grouped-numeric-summary-d8a8826d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_fsBpeL-1pz7iIZ3yMpfGI

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-grouped-numeric-summary-d8a8826d -d '<json body>'
```

Example prompt: Can you run a record quality audit and a grouped numeric summary on my sampling observations? I have up to 50 rows with row_id, dataset_group, date, sample_value, and sample_weight — please analyze the sample_value field.

## When to prefer this

Choose this endpoint when you need both a data quality audit and a grouped numeric summary in one call for up to 200 sampling observation rows with sample_value and sample_weight fields. It is ideal for pre-analysis validation of survey or measurement datasets grouped by category, where no live data lookup or prediction is needed and cost efficiency matters ($0.01 for two reports).

## Known failure modes

- Fewer than 1 or more than 200 rows causes a validation error
- Invalid date format (not YYYY-MM-DD) causes rejection
- row_id missing or empty string causes schema error
- sample_value or sample_weight outside ±1,000,000,000,000 range causes rejection
- Invalid field enum value (not 'sample_value' or 'sample_weight') causes error
- Additional properties in row objects cause schema rejection

## How this service works

Sampling observations — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary 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 reports: (1) a record quality audit identifying missing, null, or out-of-range values per row, and (2) a grouped numeric summary with descriptive statistics (e.g. count, mean, min, max) for the chosen field (sample_value or sample_weight) broken down by dataset_group. All computation is performed locally with no external lookups.

## 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-grouped-numeric-summary-d8a8826d/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)