# Null Coverage Analytics: Exact Row Deduplication + Grouped Numeric Summary

> Null Coverage Analytics: Exact Row Deduplication + Grouped Numeric Summary 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).

Deduplicates exact rows and generates a grouped numeric summary report for null coverage records containing missing_values and total_values fields, processing up to 200 rows offline.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-03-040?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-exact-row-deduplication-grouped-numeric-summary-bcd562fd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_dHlRIpSaGo91x2C7SnfqO

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-exact-row-deduplication-grouped-numeric-summary-bcd562fd -d '<json body>'
```

Example prompt: I have up to 200 rows of null coverage data with row_id, dataset_group, date, missing_values, and total_values — can you deduplicate the exact rows and then give me a grouped numeric summary on the missing_values field?

## When to prefer this

Choose this endpoint when you need both exact row deduplication and a grouped numeric summary for null coverage or data completeness records in a single paid call. It is ideal for small-to-medium batches (up to 200 rows) where you want offline, deterministic analytics without any external lookups, predictions, or live data fetching. Prefer this over general data pipelines when your records conform to the row_id/dataset_group/date/missing_values/total_values schema and you need two complementary reports cheaply.

## Known failure modes

- Missing required fields (row_id, dataset_group, date, missing_values, total_values) causes validation error
- Supplying more than 200 rows exceeds the row limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array (minItems: 1 not met) causes error
- Invalid field enum value (not missing_values or total_values) is rejected

## How this service works

Null coverage — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary 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 reports: (1) a deduplicated set of exact rows with duplicates removed, and (2) a grouped numeric summary (e.g. count, sum, mean, min, max) of the selected field (missing_values or total_values) broken down by dataset_group. Both reports are computed locally from the supplied 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/null-coverage-analytics-exact-row-deduplication-grouped-numeric-summary-bcd562fd/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)