# Null Coverage Grouped Numeric Summary & Secondary-Measure Weighted Mean

> Null Coverage Grouped Numeric Summary & Secondary-Measure Weighted Mean 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).

Computes grouped numeric summaries and secondary-measure weighted means for null coverage data (missing_values, total_values) across up to 200 rows, returning two independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-096?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-grouped-numeric-summary-secondary-measure-weighted-mean-9beaf45b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wB0NanPJZI2xEWHrQNg-5

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-grouped-numeric-summary-secondary-measure-weighted-mean-9beaf45b -d '<json body>'
```

Example prompt: I have 4 rows of null coverage data — row-1 (group-a, 2026-10-01, missing_values=10, total_values=1), row-2 (group-b, 2026-10-02, missing_values=20, total_values=2), row-3 (group-a, 2026-10-03, missing_values=15, total_values=3), row-4 (group-b, 2026-10-04, missing_values=30, total_values=4) — can you give me a grouped numeric summary and weighted mean for the missing_values field?

## When to prefer this

Choose this endpoint when you need grouped aggregate statistics and weighted mean analytics specifically for null coverage records (missing_values, total_values) and want two report types in one $0.01 call. Prefer it over general statistics APIs when your data already fits the null-coverage schema and you want cost-efficient, offline computation without external lookups or predictions.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes rejection
- Invalid date format (not YYYY-MM-DD) triggers a pattern validation error
- Field value outside allowed numeric range (-1e12 to 1e12) causes schema rejection
- Empty rows array returns a minItems validation error
- Payment not included or insufficient USDC causes 402 Payment Required

## How this service works

Null coverage — Grouped numeric summary + Secondary-measure weighted mean: Grouped numeric summary + Secondary-measure weighted mean 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 grouped numeric summary (aggregated statistics such as count, sum, mean, min, max per dataset_group for the specified field), and (2) a secondary-measure weighted mean (weighted average of the primary field using the other measure as weights), computed locally with no external lookups — all for up to 200 supplied null coverage 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-grouped-numeric-summary-secondary-measure-weighted-mean-9beaf45b/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)