# Coordinate Quality Checks — Category Frequencies + Daily Sum Series

> Coordinate Quality Checks — Category Frequencies + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-29).

Runs two local analytical reports (category frequency distribution and daily sum series) on coordinate quality check records containing checked_points and flagged_points fields, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-23-102?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-29
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/coordinate-quality-checks-category-frequencies-daily-sum-series-5ce7e00a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ONzR8icDAdKaNvyESPZRR

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-category-frequencies-daily-sum-series-5ce7e00a -d '<json body>'
```

Example prompt: I have a list of up to 200 coordinate quality check records with station groups, dates, checked_points, and flagged_points — can you run both the category frequencies report and the daily sum series on the checked_points field for me?

## When to prefer this

Choose this endpoint when you have pre-collected coordinate quality check records (checked_points, flagged_points) and need two standard analytical summaries — category frequencies and a daily sum series — computed from your own supplied data without any live lookup, external API calls, or prediction. Ideal for batch analysis of up to 200 rows of station group quality data at low cost ($0.01 USDC for both reports).

## Known failure modes

- More than 200 rows submitted — request rejected due to maxItems limit
- Missing required fields (row_id, station_group, date, checked_points, or flagged_points) on any row — validation error
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Field selector not one of 'checked_points' or 'flagged_points' — enum validation error
- Empty rows array — minItems violation

## How this service works

Coordinate quality checks — Category frequencies + Daily sum series: Category frequencies + Daily sum series 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: (1) a category frequency table showing how often each station_group or category value appears in the dataset, and (2) a daily sum series aggregating the selected numeric field (checked_points or flagged_points) by date — all computed locally from the supplied rows with no external data 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-category-frequencies-daily-sum-series-5ce7e00a/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)