# Null Coverage Analyzer — Category Frequencies + Daily Sum Series

> Null Coverage Analyzer — Category Frequencies + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).

Analyzes null coverage records (missing_values, total_values) to produce two reports: category frequency counts and a daily sum time series, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-102?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-16
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/null-coverage-analyzer-category-frequencies-daily-sum-series-e53818a7
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ebeWY40iWqLxYQiaywo6T

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-analyzer-category-frequencies-daily-sum-series-e53818a7 -d '<json body>'
```

Example prompt: Analyze my null coverage data — I have rows with dataset_group, date (YYYY-MM-DD), missing_values, and total_values fields — and give me both a category frequency breakdown and a daily sum series for the missing_values field. I have about 150 rows across groups 'group-a' and 'group-b' from October 2026.

## When to prefer this

Choose this endpoint when you need two complementary null-coverage reports — category frequency counts and a daily sum time series — computed in a single low-cost call ($0.01 USDC) from data you already have. It is ideal for data quality audits, pipeline monitoring, and completeness analysis where no external data lookup or prediction is needed, just local analytical computation over your own records of up to 200 rows.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, missing_values, total_values) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- Null or out-of-range numeric values outside ±1,000,000,000,000 may be rejected
- Empty rows array (minItems:1 violated) returns an error
- Invalid field enum value (anything other than 'missing_values' or 'total_values') causes rejection

## How this service works

Null coverage — Category frequencies + Daily sum series: Category frequencies + Daily sum 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 analytical reports computed locally from the supplied rows: (1) category frequencies showing how often each dataset_group appears, and (2) a daily sum series aggregating the selected field (missing_values or total_values) by date — all within a single API call covering up to 200 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-analyzer-category-frequencies-daily-sum-series-e53818a7/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)