# Null Coverage Analytics: Category Frequencies + Base-100 Series

> Null Coverage Analytics: Category Frequencies + Base-100 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 category frequency distributions and a base-100 indexed time series for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-105?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-analytics-category-frequencies-base-100-series-7f540a96
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Jd4TJvWM8nlBR-X54DPNz

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-category-frequencies-base-100-series-7f540a96 -d '<json body>'
```

Example prompt: Analyze my null coverage data — I have rows with missing_values and total_values across two groups, 'group-a' and 'group-b', dated 2026-10-01 through 2026-10-04. Give me both the category frequencies and a base-100 series anchored to row 0, using the missing_values field.

## When to prefer this

Choose this endpoint when you have structured null coverage records with missing_values and total_values fields and need both a categorical frequency breakdown and a normalized trend index in a single call. Ideal for data quality audits, ETL monitoring, and completeness reporting where no external data lookup or prediction is needed — all computation is local and deterministic.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, missing_values, total_values) returns validation error
- More than 200 rows submitted exceeds the maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index out of range (>=200 or <0) triggers a parameter error
- Null values in both missing_values and total_values may produce incomplete series output
- Payment of 0.01 USDC not received results in 402 Payment Required response

## How this service works

Null coverage — Category frequencies + Base-100 series: Category frequencies + Base-100 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: (1) category frequencies showing the distribution of values across dataset_group categories, and (2) a base-100 indexed time series for the selected numeric field (missing_values or total_values), anchored to the specified base_index row. Covers up to 200 input rows 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-category-frequencies-base-100-series-7f540a96/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)