# Geospatial Tile Processing Data Quality Suite

> Geospatial Tile Processing Data Quality Suite is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Audits record quality, normalises strings, and flags IQR outliers for geospatial tile processing datasets (tile_count, processing_seconds) — up to 200 rows, three reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-21-203?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/geospatial-tile-processing-data-quality-suite-e80b6fd5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VvoeG98rVDPGVb_RSF-hQ

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-data-quality-suite-e80b6fd5 -d '<json body>'
```

Example prompt: Can you audit the quality of my geospatial tile processing records, normalise the station_group strings, and flag any IQR outliers in tile_count? I have about 50 rows covering station groups alpha and beta from October 2026.

## When to prefer this

Choose this endpoint when you need a bundled, low-cost ($0.01 USDC) three-in-one data quality pass — record auditing, string normalisation, and IQR outlier detection — specifically for geospatial tile processing datasets. It is best suited for offline or pre-pipeline validation of up to 200 rows where no live lookups, predictions, or external data enrichment are required. Prefer alternatives if you need real-time geospatial lookups, ML-based anomaly detection, or datasets exceeding 200 rows.

## Known failure modes

- Empty rows array or missing required fields (row_id, date, tile_count, processing_seconds) returns validation error
- More than 200 rows submitted exceeds maxItems limit and is rejected
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Non-numeric tile_count or processing_seconds outside allowed range rejected
- Invalid field enum value (anything other than tile_count or processing_seconds) causes request failure
- Payment not included or insufficient USDC results in 402 payment required response

## How this service works

Geospatial tile processing — Record quality audit + String normalisation + IQR outlier flags: Record quality audit + String normalisation + IQR outlier flags 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

Three structured analytical reports per call: (1) a record quality audit highlighting missing, malformed, or invalid rows; (2) normalised string values for station_group and other string fields; (3) IQR-based outlier flags identifying rows where tile_count or processing_seconds fall outside the interquartile range. 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-data-quality-suite-e80b6fd5/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)