# Geospatial Tile Processing Analytics — Category Frequencies & Numeric Row Ordering

> Geospatial Tile Processing Analytics — Category Frequencies & 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).

Computes category frequency counts for station groups and numeric row ordering for tile_count or processing_seconds fields across up to 200 geospatial tile processing records, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-21-100?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/geospatial-tile-processing-analytics-category-frequencies-numeric-row-f73bb66c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_AMac8AMejVD5m7ofGiitA

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 geospatial-tile-processing-analytics-category-frequencies-numeric-row-f73bb66c -d '<json body>'
```

Example prompt: I have a list of up to 50 geospatial tile processing records with tile counts and processing seconds per station group — can you give me a frequency breakdown by station group and rank the rows by tile_count?

## When to prefer this

Use this endpoint when you have up to 200 geospatial tile processing records with station group categories and numeric metrics (tile_count, processing_seconds) and need both a category frequency summary and a numeric ranking report in a single low-cost call ($0.01 USDC). Prefer this over general analytics tools when data is already structured to this schema and no external data lookup, prediction, or live data is needed.

## Known failure modes

- Empty or missing rows array returns an error or empty reports
- More than 200 rows submitted — input is rejected or truncated
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Missing required fields (row_id, station_group, tile_count, processing_seconds) cause row rejection
- Invalid field enum value (not tile_count or processing_seconds) causes request failure
- Null numeric values may affect ordering report completeness

## How this service works

Geospatial tile processing — Category frequencies + Numeric row ordering: Category frequencies + Numeric row ordering for supplied geospatial tile processing records (tile_count, processing_seconds). 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 category frequency table showing how often each station_group value appears across the submitted rows, and (2) a numeric row ordering report ranking rows by the selected field (tile_count or processing_seconds), all computed locally without external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/geospatial-tile-processing-analytics-category-frequencies-numeric-row-f73bb66c/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)