# Sampling Observations Analytics — Record Quality Audit + Exact Row Deduplication + Category Frequencies

> Sampling Observations Analytics — Record Quality Audit + Exact Row Deduplication + Category Frequencies 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 three local analytical reports on sampling observation records: a record quality audit, exact row deduplication, and category frequency analysis — all on up to 200 rows of sample_value/sample_weight data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-212?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-analytics-record-quality-audit-exact-row-4797ec17
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_IH24PSMTZZ24znP7b1WLr

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-analytics-record-quality-audit-exact-row-4797ec17 -d '<json body>'
```

Example prompt: Can you audit my sampling observation records for quality issues, find any exact duplicate rows, and tell me the frequency of each dataset_group? I have about 50 rows, each with a row_id, date, sample_value, sample_weight, and dataset_group like 'group-a' or 'group-b'.

## When to prefer this

Choose this endpoint when you need three simultaneous analytical reports — quality audit, deduplication, and category frequency — on sampling observation data (with sample_value and sample_weight fields) in a single API call for a flat $0.01 USDC fee. It is ideal for pre-analysis data cleaning pipelines on datasets up to 200 rows where no external lookup, prediction, or live data is needed.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) causes row-level errors in the quality audit
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Empty rows array or missing rows property causes request rejection
- Values outside the allowed numeric range (±1,000,000,000,000) fail schema validation

## How this service works

Sampling observations — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied sampling observations records (sample_value, sample_weight). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports: (1) a record quality audit flagging missing, null, or malformed fields across the sample_value and sample_weight columns; (2) an exact row deduplication report identifying and removing fully identical rows; and (3) a category frequency report showing the count distribution of each unique dataset_group value.

## 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-analytics-record-quality-audit-exact-row-4797ec17/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)