# Geospatial Tile Processing — Record Quality Audit + Adjacent Row Changes

> Geospatial Tile Processing — Record Quality Audit + 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 2026-10-31).

Runs two analytical reports on supplied geospatial tile processing records: a record quality audit and an adjacent row changes analysis, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-21-011?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-record-quality-audit-adjacent-row-changes-8547c062
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_g1geaJpD9YsZiYXtaI3ph

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-record-quality-audit-adjacent-row-changes-8547c062 -d '<json body>'
```

Example prompt: Can you run a record quality audit and adjacent row changes report on my geospatial tile processing data? I have up to 50 rows with fields like tile_count and processing_seconds grouped by station, and I want both reports analyzing tile_count.

## When to prefer this

Choose this endpoint when you need lightweight, local analytical reporting on geospatial tile processing records without requiring external data lookups or live predictions. It is best suited for small-to-medium datasets (up to 200 rows) where you want both a data quality audit and a consecutive-row change detection report in a single low-cost call ($0.01 USDC). Prefer it over general analytics platforms when the data is already structured with tile_count and processing_seconds fields and you need fast, deterministic results.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, tile_count, processing_seconds) — validation error
- Invalid date format (must match YYYY-MM-DD) — schema validation failure
- Field selector not one of allowed enum values — rejected
- Empty rows array — request rejected
- Payment not included or insufficient — 402 response

## How this service works

Geospatial tile processing — Record quality audit + Adjacent row changes: Record quality audit + Adjacent row changes 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

Returns two independent analytical reports: (1) a record quality audit identifying issues such as nulls, out-of-range values, or formatting problems in the supplied rows, and (2) an adjacent row changes report highlighting differences between consecutive rows for the selected field (tile_count or processing_seconds). No external lookups or predictions are made; all analysis is performed locally on the supplied data.

## 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-record-quality-audit-adjacent-row-changes-8547c062/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)