# Coordinate Quality Checks — Numeric Distribution + Adjacent Row Changes

> Coordinate Quality Checks — Numeric Distribution + Adjacent Row Changes 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).

Analyzes coordinate quality check records (checked_points, flagged_points) by producing two local analytical reports: numeric distribution statistics and adjacent row change analysis, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-23-077?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-numeric-distribution-adjacent-row-changes-6680e3a4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_DZ_kPRQ0GI6kOCfcDEaTc

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-numeric-distribution-adjacent-row-changes-6680e3a4 -d '<json body>'
```

Example prompt: Can you run a numeric distribution and adjacent row changes analysis on my coordinate quality check data? I have rows for station groups 'group-a' and 'group-b' from 2026-10-01 through 2026-10-04 with checked_points and flagged_points — analyze the checked_points field.

## When to prefer this

Choose this endpoint when you have up to 200 rows of coordinate quality check records and need both a numeric distribution summary and adjacent row change analysis in a single low-cost call ($0.01 USDC). It is ideal for offline/batch auditing of quality check data without needing live lookups, external APIs, or professional assessments. Prefer this over general analytics tools when the data fits the specific checked_points/flagged_points schema.

## Known failure modes

- Fewer than 1 row supplied returns a validation error
- More than 200 rows submitted exceeds the row limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Null values in checked_points or flagged_points may affect distribution completeness
- Unknown field enum value (not 'checked_points' or 'flagged_points') causes rejection
- Missing required fields (row_id, station_group, date) cause schema validation errors

## How this service works

Coordinate quality checks — Numeric distribution + Adjacent row changes: Numeric distribution + Adjacent row changes 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: (1) a numeric distribution summary (e.g. min, max, mean, percentiles, histogram buckets) for the selected field across all supplied rows, and (2) an adjacent row changes report showing value differences between consecutive rows for the selected field — both computed locally without any external lookups or live data.

## 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-numeric-distribution-adjacent-row-changes-6680e3a4/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)