# Save Files Analytics — Numeric Interval Filter + Base-100 Series

> Save Files Analytics — Numeric Interval Filter + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).

Analyzes up to 200 supplied save-file records by filtering rows within a numeric interval and computing a Base-100 index series for save_kb or write_ms fields, returning two independent reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-game-13-128?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/save-files-analytics-numeric-interval-filter-base-100-series-761947b8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0LhRt4hJJZZBRm9f73-JB

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-numeric-interval-filter-base-100-series-761947b8 -d '<json body>'
```

Example prompt: I have 4 save file records with save_kb values of 10, 20, 15, and 30 — can you filter to rows where save_kb is between 0 and 25, then build a Base-100 index series anchored to row 0 (row-1 on 2026-10-01 in group-a, row-2 on 2026-10-02 in group-b, row-3 on 2026-10-03 in group-a, row-4 on 2026-10-04 in group-b)?

## When to prefer this

Choose this endpoint when you have game save file records with numeric save_kb or write_ms measurements and need both interval-range filtering and Base-100 normalization in a single cheap call ($0.01 USDC). Ideal for offline/batch analysis of supplied data without any live data fetching, external predictions, or professional assessments — best when you need two analytical views (filtered subset + indexed trend) on the same dataset simultaneously.

## Known failure modes

- Missing required row fields (row_id, date, game_area) returns a validation error
- Fewer than 1 or more than 200 rows causes rejection
- Date strings not matching YYYY-MM-DD pattern are rejected
- Field value outside ±1,000,000,000,000 range may be clamped or error
- base_index out of 0–199 range causes an error
- No rows fall within the specified min/max interval — empty filter result returned

## How this service works

Save files — Numeric interval filter + Base-100 series: Numeric interval filter + Base-100 series 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 independent reports: (1) rows filtered to the specified numeric interval for the chosen field (save_kb or write_ms), and (2) a Base-100 index series normalizing that field relative to the specified base row — all computed locally on the supplied data, up to 200 rows, with no external lookups.

## 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"
  },
  "maximum": {
   "type": "number",
   "default": 100,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "minimum": {
   "type": "number",
   "default": 0,
   "maximum": 1000000000000,
   "minimum": -1000000000000
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/save-files-analytics-numeric-interval-filter-base-100-series-761947b8/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)