# Null Coverage Analytics — Daily Sum Series & Adjacent Row Changes

> Null Coverage Analytics — Daily Sum 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 2026-10-18).

Computes two local analytical reports (daily sum series and adjacent row changes) on user-supplied null coverage records (missing_values, total_values) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-137?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-analytics-daily-sum-series-adjacent-row-changes-b332fe89
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ikr7ND88Af5687ck7VK2b

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-daily-sum-series-adjacent-row-changes-b332fe89 -d '<json body>'
```

Example prompt: I have up to 200 rows of null coverage data with date, dataset_group, missing_values, and total_values — can you run both a daily sum series and an adjacent row changes report on the missing_values field for me?

## When to prefer this

Choose this endpoint when you have user-supplied null coverage records (missing_values, total_values) organized by date and need two specific analytical outputs — daily sum series and adjacent row changes — computed entirely from your data without any external lookup, prediction, or live data dependency. Ideal for data quality audits, pipeline monitoring, and completeness trend analysis on batches up to 200 rows at very low cost ($0.01 USDC for both reports).

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems constraint
- Missing required fields (row_id, date, dataset_group, missing_values, or total_values) — validation error
- Date not in YYYY-MM-DD format — pattern validation failure
- Null or out-of-range numeric values exceeding ±1,000,000,000,000 — schema rejection
- Invalid field enum value (must be 'missing_values' or 'total_values') — parameter error

## How this service works

Null coverage — Daily sum series + Adjacent row changes: Daily sum 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 computed locally: (1) a daily sum series aggregating the selected field (missing_values or total_values) by date, and (2) adjacent row changes showing differences between consecutive rows — all derived from the supplied 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-daily-sum-series-adjacent-row-changes-b332fe89/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)