# Null Coverage Analytics — Row Deduplication & Category Frequencies

> Null Coverage Analytics — 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 2026-10-14).

Runs two local analytical reports on null-coverage data: exact row deduplication and category frequency distribution, for up to 200 rows per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-041?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-analytics-row-deduplication-category-frequencies-e3af3e62
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qo1gcr7HVmHcDaKvahHRZ

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 null-coverage-analytics-row-deduplication-category-frequencies-e3af3e62 -d '<json body>'
```

Example prompt: I have a batch of null coverage records — each with a row ID, dataset group, date, missing_values, and total_values — can you deduplicate them and give me a frequency breakdown of how often each dataset group appears? Here are up to 200 rows.

## When to prefer this

Choose this endpoint when you need lightweight, local data-quality analysis on null-coverage records — specifically exact row deduplication and category frequency profiling — without any external API calls, predictions, or ML inference. Ideal for data engineers running quick completeness checks or auditing ETL logs at low cost ($0.01 for two reports on up to 200 rows). Prefer alternatives if you need statistical modeling, trend forecasting, or analysis of more than 200 rows at once.

## Known failure modes

- Empty rows array or missing required fields (row_id, dataset_group, date, missing_values, total_values) returns a validation error
- Submitting more than 200 rows exceeds the maxItems limit and is rejected
- Malformed date strings not matching YYYY-MM-DD pattern cause schema validation failure
- Null or out-of-range numeric values for missing_values or total_values may cause rejection
- Payment of 0.01 USDC not included or declined results in 402 Payment Required

## How this service works

Null coverage — Exact row deduplication + Category frequencies: Exact row deduplication + Category frequencies for supplied null coverage records (missing_values, total_values). 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) an exact-duplicate-free version of the submitted rows, and (2) a frequency table showing how often each dataset_group value appears across the submitted records. No external lookups or predictions are made — all computation is performed locally on the supplied data.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "missing_values",
     "total_values"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "total_values": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "missing_values": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "total_values": 1,
     "dataset_group": "group-a",
     "missing_values": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "total_values": 2,
     "dataset_group": "group-b",
     "missing_values": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "total_values": 3,
     "dataset_group": "group-a",
     "missing_values": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "total_values": 4,
     "dataset_group": "group-b",
     "missing_values": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-row-deduplication-category-frequencies-e3af3e62/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)