# Geospatial Tile Processing — String Normalisation + Exact Row Deduplication

> Geospatial Tile Processing — String Normalisation + Exact Row Deduplication is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Normalises strings and deduplicates exact rows in geospatial tile processing records (tile_count, processing_seconds), returning 2 analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-21-020?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/geospatial-tile-processing-string-normalisation-exact-row-deduplication-f8f183a0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_lbJZy-T2xfMwrx1Aqdr3A

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-string-normalisation-exact-row-deduplication-f8f183a0 -d '<json body>'
```

Example prompt: Can you clean up my geospatial tile processing records by normalising the station group strings and removing any exact duplicate rows? I have about 150 records with fields like row_id, station_group, date, tile_count, and processing_seconds — I need 2 analytical reports back.

## When to prefer this

Choose this endpoint when you have geospatial tile processing records (with tile_count and processing_seconds fields) that need string normalisation and exact duplicate row removal in a single call, and you want two analytical reports for up to 200 rows at minimal cost. It is ideal for pre-processing pipeline outputs before downstream analytics, with no dependency on external data sources or live lookups.

## Known failure modes

- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Empty rows array (minItems:1 not met) returns error
- Numeric fields outside allowed range (-1e12 to 1e12) rejected

## How this service works

Geospatial tile processing — String normalisation + Exact row deduplication: String normalisation + Exact row deduplication 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 2 independent analytical reports based on the supplied geospatial tile processing records, covering string normalisation outcomes and exact row deduplication results across up to 200 input rows. No live lookups or external data are used; 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/geospatial-tile-processing-string-normalisation-exact-row-deduplication-f8f183a0/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)