# Null Coverage Analytics — Numeric Row Ordering & Adjacent Row Changes

> Null Coverage Analytics — Numeric Row Ordering & 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).

Analyzes null coverage records (missing_values, total_values) for numeric row ordering anomalies and adjacent row-to-row changes across up to 200 rows, producing two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-116?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-numeric-row-ordering-adjacent-row-changes-b3efd6f9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_qReUEY5hg391_99XsVIcG

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-numeric-row-ordering-adjacent-row-changes-b3efd6f9 -d '<json body>'
```

Example prompt: Analyze this batch of null coverage records for numeric row ordering problems and adjacent row-to-row changes in the missing_values field — I have 4 rows: row-1 (group-a, 2026-10-01, missing=10, total=1), row-2 (group-b, 2026-10-02, missing=20, total=2), row-3 (group-a, 2026-10-03, missing=15, total=3), row-4 (group-b, 2026-10-04, missing=30, total=4).

## When to prefer this

Choose this endpoint when you need lightweight, on-demand analysis of null coverage data row ordering and sequential row changes without any external lookups or predictions. It is ideal for data quality pipelines that need to detect ordering anomalies and sudden shifts in missing or total value counts across batches of up to 200 rows at minimal cost ($0.01 USDC for two reports).

## Known failure modes

- Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes validation error
- Exceeding 200 rows in the input array returns an error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Payment not sent or insufficient USDC causes x402 payment required response
- Null values for both missing_values and total_values across all rows may yield empty or degenerate analysis

## How this service works

Null coverage — Numeric row ordering + Adjacent row changes: Numeric row ordering + 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 independent analytical reports: one covering numeric row ordering of the selected field (missing_values or total_values) across the supplied rows, and one covering adjacent row-to-row changes in that field. Reports are generated locally 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-numeric-row-ordering-adjacent-row-changes-b3efd6f9/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)