# Null Coverage Analytics: Daily Sum Series + Date by Category Pivot

> Null Coverage Analytics: Daily Sum Series + Date by Category Pivot 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).

Generates two analytical reports from supplied null-coverage records: a daily sum time series and a date-by-category pivot table, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-143?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-date-by-category-pivot-35b9c28d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_LrU4Jx2hXUZQmhiysYSSA

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-date-by-category-pivot-35b9c28d -d '<json body>'
```

Example prompt: Can you run a null coverage analysis on these 150 records — I need both a daily sum time series and a date-by-category pivot for the missing_values field, grouped by dataset_group and date?

## When to prefer this

Choose this endpoint when you need two simultaneous analytical reports (daily time series + category pivot) on null/missing-value coverage data in a single low-cost call. Ideal for data quality audits, ETL monitoring, and completeness reporting where the data is already available locally and no live lookup or external enrichment is needed. Best when working with up to 200 rows across multiple dataset groups and dates.

## Known failure modes

- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — request rejected, exceeds row limit
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) on any row — validation failure
- Invalid date format (must match YYYY-MM-DD pattern) — schema validation error
- Field selector not one of 'missing_values' or 'total_values' — enum validation error
- Null or out-of-range numeric values beyond ±1,000,000,000,000 — validation rejection

## How this service works

Null coverage — Daily sum series + Date by category pivot: Daily sum series + Date by category pivot 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

Two independent analytical reports: (1) a daily sum time series aggregating the selected field (missing_values or total_values) by date, and (2) a date-by-category pivot table breaking down the selected field by dataset_group and date. Both are computed locally from the supplied rows with no external data access, covering up to 200 input rows.

## 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-date-by-category-pivot-35b9c28d/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)