# Sampling Observations Duplicate Key Report and Category Frequencies

> Sampling Observations Duplicate Key Report and 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).

Analyzes up to 200 sampling observation rows to produce two local reports: a duplicate key report and category frequency distribution for sample_value and sample_weight fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-15-057?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-and-category-frequencies-c34aa608
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_RZ2PdPPzob4hwOzmuHa_-

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-and-category-frequencies-c34aa608 -d '<json body>'
```

Example prompt: Can you run a duplicate key check and category frequency breakdown on my sampling observations? Here are my rows — each has a row_id, dataset_group, date, sample_value, and sample_weight — up to 200 records across groups like 'group-a' and 'group-b'.

## When to prefer this

Choose this endpoint when you need two specific data-quality reports — duplicate key detection and category frequency counts — on a batch of up to 200 sampling observation records (with sample_value and sample_weight fields) at a single low cost. It is ideal for pre-processing audits of survey or observational datasets before downstream analysis, and when you want both reports in one call without external lookups or predictions.

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, dataset_group, date, sample_value, sample_weight) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema rejection
- sample_value or sample_weight outside ±1,000,000,000,000 range causes validation failure
- Empty rows array (minItems: 1 violated) returns error
- Payment failure or insufficient USDC balance blocks the request

## How this service works

Sampling observations — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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 submitted rows, and (2) a category frequency table showing how often each dataset_group value appears in the dataset. Both reports are computed locally on the submitted data 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-duplicate-key-report-and-category-frequencies-c34aa608/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)