# Geospatial Tile Processing — Record Quality Audit + Daily Sum Series

> Geospatial Tile Processing — Record Quality Audit + Daily Sum Series 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 local analytical reports on geospatial tile processing records: a record quality audit and a daily sum time series, for up to 200 rows of tile_count or processing_seconds data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-weather-21-009?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-daily-sum-series-8d241300
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KPag_SYFGo5uVoTswwjgh

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-daily-sum-series-8d241300 -d '<json body>'
```

Example prompt: Can you audit the quality of these geospatial tile processing records and give me a daily sum series for tile_count? I have 4 rows: row-1 on 2026-10-01 group-a with tile_count 10 and processing_seconds 1, row-2 on 2026-10-02 group-b with tile_count 20 and processing_seconds 2, row-3 on 2026-10-03 group-a with tile_count 15 and processing_seconds 3, row-4 on 2026-10-04 group-b with tile_count 30 and processing_seconds 4.

## When to prefer this

Choose this endpoint when you need two fast, offline analytical reports — a quality audit plus a daily sum series — on a batch of geospatial tile processing records (up to 200 rows) without requiring any live data lookup, external enrichment, or prediction. It is ideal for pipeline QA, data validation before ingestion, or quick exploratory aggregation of tile_count or processing_seconds fields at low cost ($0.01 USDC for both reports).

## Known failure modes

- Fewer than 1 row supplied returns a validation error
- More than 200 rows causes rejection due to row limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Unrecognized field enum value (not tile_count or processing_seconds) returns an error
- Missing required fields (row_id, date, station_group) cause row-level rejection

## How this service works

Geospatial tile processing — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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) a record quality audit flagging completeness, validity, or consistency issues across the supplied rows, and (2) a daily sum time series aggregating the selected numeric field (tile_count or processing_seconds) by date — both 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-record-quality-audit-daily-sum-series-8d241300/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)