# Sampling Observations — Duplicate Key Report + Numeric Row Ordering

> Sampling Observations — Duplicate Key Report + 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 2026-10-15).

Analyzes supplied sampling observation records to produce a duplicate key report and a numeric row ordering report for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-058?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-duplicate-key-report-numeric-row-ordering-22a93a08
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Qe8gFbu8tky4N2k4kW1OG

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-duplicate-key-report-numeric-row-ordering-22a93a08 -d '<json body>'
```

Example prompt: Can you check my sampling observations data for duplicate row IDs and also give me a numeric ordering of the rows by sample_value? I have 4 rows: row-1 on 2026-10-01 with value 10 and weight 1 in group-a, row-2 on 2026-10-02 with value 20 and weight 2 in group-b, row-3 on 2026-10-03 with value 15 and weight 3 in group-a, and row-4 on 2026-10-04 with value 30 and weight 4 in group-b.

## When to prefer this

Choose this endpoint when you need to simultaneously audit a dataset of sampling observations for duplicate row identifiers and produce a numeric ordering of rows by a chosen field (sample_value or sample_weight), with up to 200 rows per call. It is ideal for data quality checks on survey, scientific, or statistical sample datasets before downstream processing, especially when both deduplication detection and numeric ranking are needed in a single low-cost call.

## Known failure modes

- Empty rows array returns an error (minItems: 1 required)
- More than 200 rows submitted exceeds maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- row_id missing or empty string triggers required field validation error
- sample_value or sample_weight outside ±1,000,000,000,000 range rejected
- Invalid field enum value (not 'sample_value' or 'sample_weight') causes error

## How this service works

Sampling observations — Duplicate key report + Numeric row ordering: Duplicate key report + 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 duplicate key report identifying any repeated row_id values across the supplied records, and (2) a numeric row ordering report ranking rows by the selected numeric field (sample_value or sample_weight). Results are computed locally with no external lookups, covering up to 200 input rows.

## 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-duplicate-key-report-numeric-row-ordering-22a93a08/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)