# Save Files Analytics — Exact Row Deduplication + Grouped Numeric Summary

> Save Files Analytics — Exact Row Deduplication + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-04).

Deduplicates exact rows and produces a grouped numeric summary for game save-file records (save_kb, write_ms) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-13-040?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-04
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/save-files-analytics-exact-row-deduplication-grouped-numeric-summary-59c18390
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_h9RBopegrP1usYuz8fchO

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 save-files-analytics-exact-row-deduplication-grouped-numeric-summary-59c18390 -d '<json body>'
```

Example prompt: I have a list of game save file records with save sizes in KB and write times in milliseconds across different game areas — can you deduplicate exact duplicate rows and give me a grouped numeric summary by game_area for save_kb? Here are up to 200 rows with fields row_id, game_area, date, save_kb, and write_ms.

## When to prefer this

Choose this endpoint when you have game save file records with save_kb and write_ms metrics and need both exact-duplicate removal and a grouped numeric summary in a single call. It is best suited for small-to-medium datasets (up to 200 rows) where offline, local analytical processing is sufficient and no live lookup, prediction, or external enrichment is needed. Prefer it over general-purpose analytics tools when you specifically need the save-file domain schema (row_id, game_area, date, save_kb, write_ms) and want both reports bundled at a flat $0.01 USDC rate.

## Known failure modes

- Input array is empty or missing required fields (row_id, game_area, date, save_kb, write_ms) — returns validation error
- More than 200 rows submitted — request rejected with row limit error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Field selector not one of 'save_kb' or 'write_ms' — enum validation error
- All rows are duplicates — deduplication report returns a single unique row
- Numeric fields contain nulls — summary may return null statistics for affected groups

## How this service works

Save files — Exact row deduplication + Grouped numeric summary: Exact row deduplication + Grouped numeric summary for supplied save files records (save_kb, write_ms). 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 deduplicated version of the input rows with exact duplicate rows removed, and (2) a grouped numeric summary (e.g. count, mean, min, max) of the selected numeric field (save_kb or write_ms) broken down by game_area. No external lookups or predictions are made; 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",
     "game_area",
     "date",
     "save_kb",
     "write_ms"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "save_kb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "write_ms": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "game_area": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "save_kb": 10,
     "write_ms": 1,
     "game_area": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "save_kb": 20,
     "write_ms": 2,
     "game_area": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "save_kb": 15,
     "write_ms": 3,
     "game_area": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "save_kb": 30,
     "write_ms": 4,
     "game_area": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "save_kb",
    "write_ms"
   ],
   "type": "string",
   "default": "save_kb"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/save-files-analytics-exact-row-deduplication-grouped-numeric-summary-59c18390/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)