# Material Libraries — Grouped Numeric Summary + Trailing Mean Series

> Material Libraries — Grouped Numeric Summary + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Computes grouped numeric summaries and trailing moving-average series for material library records (material_count, texture_mb) across up to 200 rows, returning two analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-03-090?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/material-libraries-grouped-numeric-summary-trailing-mean-series-95a04e79
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_rr9R3tviJ7odKb0dY3vA7

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 material-libraries-grouped-numeric-summary-trailing-mean-series-95a04e79 -d '<json body>'
```

Example prompt: Can you run a grouped numeric summary and trailing mean series on my material library data? I have records with asset_group, date, material_count, and texture_mb — use material_count as the field and a window of 3. Here are my rows: group-a on 2026-10-01 with 10 materials and 1.5 MB texture, group-b on 2026-10-02 with 20 materials and 2.8 MB texture, group-a on 2026-10-03 with 15 materials and 3.2 MB texture.

## When to prefer this

Choose this endpoint when you have up to 200 rows of material library records with asset_group, date, material_count, and texture_mb fields and need both a grouped summary and a rolling mean series in a single $0.01 call. Ideal for game developers, 3D artists, or asset pipeline tools needing quick offline analytics on material data without needing live lookup, prediction, or external data enrichment.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required row fields (row_id, asset_group, date, material_count, texture_mb) — validation error
- Invalid date format not matching YYYY-MM-DD pattern — schema rejection
- Window parameter outside 2–200 range — error returned
- Invalid field enum value (must be 'material_count' or 'texture_mb') — error returned
- Empty rows array — minimum 1 item required

## How this service works

Material libraries — Grouped numeric summary + Trailing mean series: Grouped numeric summary + Trailing mean series for supplied material libraries records (material_count, texture_mb). 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 grouped numeric summary of the specified field (material_count or texture_mb) broken down by asset_group, including statistics like count, mean, min, max, and sum; and (2) a trailing moving-average series for the chosen field computed over the specified window size, indexed by date and row, up to 200 rows of input.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "material_count",
     "texture_mb"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "texture_mb": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "material_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "texture_mb": 1,
     "asset_group": "group-a",
     "material_count": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "texture_mb": 2,
     "asset_group": "group-b",
     "material_count": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "texture_mb": 3,
     "asset_group": "group-a",
     "material_count": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "texture_mb": 4,
     "asset_group": "group-b",
     "material_count": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "material_count",
    "texture_mb"
   ],
   "type": "string",
   "default": "material_count"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/material-libraries-grouped-numeric-summary-trailing-mean-series-95a04e79/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)