# Geospatial Tile Processing — Record Quality Audit + String Normalisation + Numeric Interval Filter

> Geospatial Tile Processing — Record Quality Audit + String Normalisation + Numeric Interval Filter 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 three local analytical reports on geospatial tile processing records: a record quality audit, string normalisation, and a numeric interval filter on tile_count or processing_seconds fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-21-197?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-record-quality-audit-string-normalisation-f67335db
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8IlxDJPk2kwbG-0CjQsjC

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-string-normalisation-f67335db -d '<json body>'
```

Example prompt: Can you run a quality audit, string normalisation, and numeric interval filter on my geospatial tile processing records — the dataset has fields like row_id, station_group, date, tile_count, and processing_seconds — and filter tile_count between 0 and 500?

## When to prefer this

Choose this endpoint when you need three combined analytical operations — quality auditing, string normalisation, and numeric range filtering — on geospatial tile processing data in a single call at low cost ($0.01 USDC for up to 200 rows). Best suited for pre-ingestion validation, batch data cleaning, or pipeline QA where no live data lookup or external enrichment is needed.

## Known failure modes

- Submitting more than 200 rows returns an error or truncates input
- Missing required fields (row_id, station_group, date, tile_count, processing_seconds) cause validation rejection
- Invalid date format (not YYYY-MM-DD) causes row rejection
- Minimum value greater than maximum value may return empty interval filter results
- Numeric values outside the allowed range (-1e12 to 1e12) are rejected

## How this service works

Geospatial tile processing — Record quality audit + String normalisation + Numeric interval filter: Record quality audit + String normalisation + Numeric interval filter for supplied geospatial tile processing records (tile_count, processing_seconds). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Returns three independent analytical reports generated from the supplied rows: (1) a record quality audit flagging completeness and validity issues, (2) a string normalisation report for the station_group field, and (3) a numeric interval filter report showing which records fall within the specified minimum/maximum range for the chosen numeric field (tile_count or processing_seconds). All processing is local with no 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/geospatial-tile-processing-record-quality-audit-string-normalisation-f67335db/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)