# Coordinate Quality Checks — Record Quality Audit + Grouped Numeric Summary

> Coordinate Quality Checks — Record Quality Audit + 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 2026-11-02).

Runs two local analytical reports on coordinate quality check records: a record quality audit and a grouped numeric summary for checked_points or flagged_points, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-23-005?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/coordinate-quality-checks-record-quality-audit-grouped-numeric-summary-c701ff1c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bCYEWNNLD-_gZC5TrYC1b

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 coordinate-quality-checks-record-quality-audit-grouped-numeric-summary-c701ff1c -d '<json body>'
```

Example prompt: Can you run a record quality audit and grouped numeric summary on my coordinate quality check data? I have rows with station_group, date, checked_points, and flagged_points — up to 50 rows — and I want the summary grouped by flagged_points.

## When to prefer this

Choose this endpoint when you need two simultaneous local analytical reports — a data quality audit plus a grouped numeric summary — on coordinate quality check records without any external data lookups or live enrichment. It is ideal for validating station monitoring data before downstream analysis, or for producing fast grouped statistics on checked and flagged point counts across station groups.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, checked_points, flagged_points) causes row rejection
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Null values in numeric fields are accepted but may affect summary statistics
- Empty rows array returns an error

## How this service works

Coordinate quality checks — Record quality audit + Grouped numeric summary: Record quality audit + Grouped numeric summary for supplied coordinate quality checks records (checked_points, flagged_points). 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 independent analytical reports: (1) a record quality audit identifying missing values, malformed entries, and data completeness issues across the supplied rows; and (2) a grouped numeric summary (counts, means, totals, etc.) for the selected field (checked_points or flagged_points) broken down by station_group. All computation is local with no external lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "station_group",
     "date",
     "checked_points",
     "flagged_points"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "station_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "checked_points": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "flagged_points": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "station_group": "group-a",
     "checked_points": 10,
     "flagged_points": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "station_group": "group-b",
     "checked_points": 20,
     "flagged_points": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "station_group": "group-a",
     "checked_points": 15,
     "flagged_points": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "station_group": "group-b",
     "checked_points": 30,
     "flagged_points": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "checked_points",
    "flagged_points"
   ],
   "type": "string",
   "default": "checked_points"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/coordinate-quality-checks-record-quality-audit-grouped-numeric-summary-c701ff1c/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)