# Coordinate Quality Checks — Exact Row Deduplication + Explicit Missing-Value Fill

> Coordinate Quality Checks — Exact Row Deduplication + Explicit Missing-Value Fill 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).

Deduplicates rows and fills missing values for coordinate quality check records (checked_points, flagged_points), producing 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-23-054?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-exact-row-deduplication-explicit-missing-3c7d2260
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_wP1LZi86PsnqNJ1-ODgVL

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-exact-row-deduplication-explicit-missing-3c7d2260 -d '<json body>'
```

Example prompt: Take my coordinate quality check records for station groups A and B across October 2026 — up to 200 rows with checked_points and flagged_points — deduplicate any exact duplicate rows and fill missing checked_points values using the median method, then give me both reports.

## When to prefer this

Choose this endpoint when you need to clean a batch of coordinate quality check records by removing exact duplicate rows and imputing missing numeric values (checked_points or flagged_points) with a chosen strategy (zero, mean, or median), and want two ready-to-use reports in a single low-cost call. Prefer it over general-purpose data cleaning tools when your data specifically follows the station_group/date/checked_points/flagged_points schema and you want a combined deduplication + imputation output without external dependencies.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, station_group) in one or more rows — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Unsupported fill method or field enum value — rejected
- Empty rows array — minimum 1 item required
- Payment not provided or insufficient USDC — 402 response

## How this service works

Coordinate quality checks — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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

Two independent analytical reports covering: (1) exact row deduplication results for the supplied coordinate quality check records, and (2) explicit missing-value fill results for the specified field (checked_points or flagged_points) using the chosen method (zero, mean, or median). Reports are generated from the supplied data using local analytical engines 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/coordinate-quality-checks-exact-row-deduplication-explicit-missing-3c7d2260/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)