# Geospatial Tile Processing — Exact Row Deduplication + Adjacent Row Changes

> Geospatial Tile Processing — Exact Row Deduplication + 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).

Performs exact row deduplication and adjacent row change detection on geospatial tile processing records (tile_count, processing_seconds) for up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-21-046?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/geospatial-tile-processing-exact-row-deduplication-adjacent-row-changes-683d2119
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_b7DV44rKDDXw1RLykT_pv

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-exact-row-deduplication-adjacent-row-changes-683d2119 -d '<json body>'
```

Example prompt: I have a dataset of geospatial tile processing records with tile_count and processing_seconds across multiple station groups and dates — can you deduplicate the exact duplicate rows and show me where adjacent rows changed in tile_count? Here are my rows: [{"row_id":"row-1","station_group":"group-a","date":"2026-10-01","tile_count":10,"processing_seconds":1},{"row_id":"row-2","station_group":"group-b","date":"2026-10-02","tile_count":20,"processing_seconds":2}].

## When to prefer this

Choose this endpoint when you need both exact duplicate detection and adjacent-row change analysis on geospatial tile processing records (tile_count or processing_seconds) in a single low-cost call. It is ideal for data quality checks on pipeline outputs where you want to clean duplicates and audit sequential changes simultaneously, without needing any external lookup or live data enrichment.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) causes row rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric fields outside ±1,000,000,000,000 are rejected
- Empty rows array returns an error
- Payment failure or insufficient USDC balance prevents execution

## How this service works

Geospatial tile processing — Exact row deduplication + Adjacent row changes: Exact row deduplication + 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 analytical reports: (1) an exact row deduplication report identifying which rows are exact duplicates within the submitted dataset, and (2) an adjacent row changes report showing where consecutive rows differ in the selected field (tile_count or processing_seconds). No external data is fetched; analysis is purely on submitted rows.

## 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-exact-row-deduplication-adjacent-row-changes-683d2119/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)