# Null Coverage Analytics — Quality Audit, Deduplication & Trailing Mean

> Null Coverage Analytics — Quality Audit, Deduplication & Trailing Mean 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 three local analytical reports on null coverage data: record quality audit, exact row deduplication, and trailing mean series — all computed from supplied rows without any external lookup.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-216?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-quality-audit-deduplication-trailing-mean-09e1de0a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8NgztCXMP0aEVqAcE8Egt

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-quality-audit-deduplication-trailing-mean-09e1de0a -d '<json body>'
```

Example prompt: Can you audit my null coverage data for quality issues, find exact duplicate rows, and compute a trailing mean over a window of 3 for the missing_values field? I have up to 50 rows with row_id, dataset_group, date, missing_values, and total_values columns.

## When to prefer this

Choose this endpoint when you need three bundled analytical reports — quality audit, deduplication, and rolling mean — on null coverage data (missing vs. total value counts) in a single low-cost call. Ideal for data pipeline monitoring, ETL validation, and dataset health checks where you already have the data locally and need no external enrichment or predictions. Best for datasets up to 200 rows where cost efficiency matters ($0.01 USDC for all three reports).

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows supplied — exceeds max row limit
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, missing_values, total_values) — schema error
- Window size outside 2–200 range — parameter error
- Null or non-numeric values in missing_values or total_values may affect trailing mean accuracy

## How this service works

Null coverage — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series for supplied null coverage records (missing_values, total_values). 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 reports: (1) a record quality audit summarizing completeness and anomalies in the supplied null coverage rows, (2) an exact row deduplication report identifying duplicate records, and (3) a trailing mean series computed over the specified window for the chosen field (missing_values or total_values). All computations use local analytical engines with no external data sources.

## 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
  },
  "field": {
   "enum": [
    "missing_values",
    "total_values"
   ],
   "type": "string",
   "default": "missing_values"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-quality-audit-deduplication-trailing-mean-09e1de0a/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)