# Sampling Observations — String Normalisation + Duplicate Key Report

> Sampling Observations — String Normalisation + Duplicate Key Report 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 sampling observation records: string normalisation of text fields and duplicate key detection, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-021?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-string-normalisation-duplicate-key-report-e6cf5702
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qtU4qJUUpravpaWaGTjZF

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-string-normalisation-duplicate-key-report-e6cf5702 -d '<json body>'
```

Example prompt: Can you check these 50 sampling observation rows for duplicate row IDs and normalise any inconsistent string values in the dataset_group field? Each row has a row_id, date, sample_value, and sample_weight.

## When to prefer this

Choose this endpoint when you have up to 200 sampling observation records (with sample_value and sample_weight fields) and need both string normalisation and duplicate key detection in a single low-cost call ($0.01 USDC). It is ideal for pre-pipeline data quality checks on survey or measurement datasets where row uniqueness and consistent text labels matter. Prefer alternatives if you need outlier detection, statistical summaries, pivot tables, or more than 200 rows.

## Known failure modes

- Input array is empty or exceeds 200 rows — request rejected
- Rows missing required fields (row_id, date, sample_value, sample_weight) — validation error
- Date field does not match YYYY-MM-DD pattern — schema rejection
- sample_value or sample_weight outside allowed numeric range — rejection
- Malformed JSON body — parse error
- Payment not included or insufficient — 402 Payment Required

## How this service works

Sampling observations — String normalisation + Duplicate key report: String normalisation + Duplicate key report 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

Two structured reports: (1) a string normalisation report identifying and correcting inconsistent text values in fields like dataset_group across submitted rows; (2) a duplicate key report listing any row_id values that appear more than once. Both reports cover up to 200 input rows and are generated using local analytical engines 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/sampling-observations-string-normalisation-duplicate-key-report-e6cf5702/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)