# Null Coverage Record Quality Audit + Trailing Mean Series

> Null Coverage Record Quality Audit + Trailing Mean Series 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: a record quality audit and a trailing mean series, for up to 200 rows of missing/total value records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-010?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-record-quality-audit-trailing-mean-series-60f8569f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_-pg5f03pL4gsBum7DRoJk

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-record-quality-audit-trailing-mean-series-60f8569f -d '<json body>'
```

Example prompt: Can you run a record quality audit and trailing mean series on my null coverage data — I have 50 rows with row_id, dataset_group, date, missing_values, and total_values fields — use a window of 5 and compute the trailing mean on the missing_values field?

## When to prefer this

Choose this endpoint when you need a combined data quality audit and rolling mean time series on null coverage metrics (missing/total value counts) for a batch of up to 200 rows, without requiring external data lookups or predictions. Ideal for data engineering pipelines, QA workflows, and completeness monitoring where all data is already available locally and you want two complementary statistical reports in a single $0.01 call.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, missing_values, total_values) — validation error
- Window size less than 2 or greater than 200 — parameter error
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- Null or out-of-range numeric values for missing_values or total_values — may produce partial results or errors

## How this service works

Null coverage — Record quality audit + Trailing mean series: Record quality audit + Trailing mean series 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 independent analytical reports computed locally: (1) a record quality audit summarizing null coverage statistics per row and dataset group, and (2) a trailing mean series showing the rolling average of the selected field (missing_values or total_values) over the specified window size — all derived from the supplied input rows with no external lookups.

## 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-record-quality-audit-trailing-mean-series-60f8569f/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)