# Coordinate Quality Checks — Keyed Dataset Comparison + Explicit Missing-Value Fill

> Coordinate Quality Checks — Keyed Dataset Comparison + 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 2026-10-22).

Compares two keyed datasets of coordinate quality check records (checked_points, flagged_points) and fills missing values, producing up to 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-23-190?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/coordinate-quality-checks-keyed-dataset-comparison-explicit-missing-483cc72d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4iTp2ojAzsHrFLFrBc3LD

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-keyed-dataset-comparison-explicit-missing-483cc72d -d '<json body>'
```

Example prompt: Compare these two batches of coordinate quality check records — rows and other — for station groups across dates in October 2026, using the checked_points field, and fill in any missing values; I need both comparison and fill reports for up to 200 rows.

## When to prefer this

Choose this endpoint when you have two keyed coordinate quality check datasets (with checked_points and flagged_points columns) and need both a row-by-row comparison and a missing-value fill in a single call, for up to 200 rows, without any need for live data lookup or external prediction. It is purpose-built for weather/geospatial QC audit workflows at low cost ($0.01 USDC for 2 reports).

## Known failure modes

- More than 200 rows submitted — request rejected or truncated
- Invalid date format (must be YYYY-MM-DD) — validation error
- Missing required fields (row_id, station_group, date) — schema error
- Values exceeding numeric bounds (±1,000,000,000,000) — validation error
- Empty rows array — minimum 1 item required
- Payment not fulfilled via x402 protocol — 402 response

## How this service works

Coordinate quality checks — Keyed dataset comparison + Explicit missing-value fill: Keyed dataset comparison + 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 analytical reports: a keyed dataset comparison report showing row-by-row differences between the primary and secondary datasets, and a missing-value fill report that replaces null checked_points or flagged_points values with inferred values — all computed locally with no external lookups, for up to 200 rows.

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/coordinate-quality-checks-keyed-dataset-comparison-explicit-missing-483cc72d/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)