# Coordinate Quality Checks — Duplicate Key Report + Numeric Row Ordering

> Coordinate Quality Checks — Duplicate Key Report + Numeric Row Ordering is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Analyzes supplied coordinate quality check records to produce a duplicate key report and a numeric row ordering report for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-23-058?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/coordinate-quality-checks-duplicate-key-report-numeric-row-ordering-f36dc8b9
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_CzjwFtEBOBFaMAQJFHK2c

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-duplicate-key-report-numeric-row-ordering-f36dc8b9 -d '<json body>'
```

Example prompt: I have a dataset of coordinate quality check records with station groups, dates, checked_points, and flagged_points — can you run a duplicate key report and a numeric row ordering on it, sorting by checked_points, for up to 200 rows?

## When to prefer this

Choose this endpoint when you need a quick, low-cost ($0.01 USDC) dual-report analysis — duplicate key detection plus numeric row ordering — on up to 200 rows of coordinate or station quality check records, without requiring any live lookup, external API call, or professional assessment. It is best suited for lightweight data quality auditing tasks on pre-collected tabular datasets involving checked_points and flagged_points metrics.

## Known failure modes

- Input array is empty or exceeds 200 rows — validation error returned
- Required fields (row_id, station_group, date, checked_points, flagged_points) missing from one or more rows — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Field enum value not matching checked_points or flagged_points — rejected input
- Null numeric values may affect ordering logic — partial results or null-handling edge cases

## How this service works

Coordinate quality checks — Duplicate key report + Numeric row ordering: Duplicate key report + Numeric row ordering 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 reports: (1) a duplicate key report identifying any rows sharing the same key fields, and (2) a numeric row ordering report ranking the supplied records by the chosen field (checked_points or flagged_points). Both reports are computed locally from the supplied data 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-duplicate-key-report-numeric-row-ordering-f36dc8b9/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)