# Null Coverage Analytics — Trailing Mean Series + Adjacent Row Changes

> Null Coverage Analytics — Trailing Mean Series + Adjacent Row Changes 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).

Computes a trailing mean time series and adjacent row-to-row changes for null coverage data (missing_values, total_values) over up to 200 supplied rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-146?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-trailing-mean-series-adjacent-row-changes-3b758dfb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_d7DMRDH8PVd_WKyIqWo0d

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-trailing-mean-series-adjacent-row-changes-3b758dfb -d '<json body>'
```

Example prompt: I have 50 rows of null coverage records with dates, dataset groups, missing_values and total_values — can you run a trailing mean series and adjacent row changes report on the missing_values field using a window size of 5?

## When to prefer this

Choose this endpoint when you need lightweight, self-contained statistical analysis of null coverage records — specifically trailing mean series and adjacent row changes — without any external data lookups or predictions. It is ideal for data quality monitoring pipelines where you supply your own records and need two standard analytical views at very low cost ($0.01 USDC for up to 200 rows).

## Known failure modes

- Fewer than 1 row supplied — request rejected
- More than 200 rows submitted — exceeds maximum limit
- Invalid date format (not YYYY-MM-DD) — validation error
- missing_values or total_values outside allowed numeric range — rejected
- Window size outside 2–200 range — validation error
- Null or missing required fields (row_id, dataset_group, date) — schema validation failure

## How this service works

Null coverage — Trailing mean series + Adjacent row changes: Trailing mean series + Adjacent row changes 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 analytical reports for the supplied rows: (1) a trailing mean series showing the rolling average of the selected field (missing_values or total_values) over the specified window, and (2) adjacent row changes showing the difference between consecutive row values. 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",
     "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-trailing-mean-series-adjacent-row-changes-3b758dfb/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)