# Animation Clips Base-100 Series and Date-by-Category Pivot

> Animation Clips Base-100 Series and Date-by-Category Pivot is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Computes a Base-100 index series and a date-by-category pivot table for supplied animation clip records (frame_count or duration_seconds), returning two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-07-167?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/animation-clips-base-100-series-and-date-by-category-pivot-0897a941
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_aOBWvIdHogVFX6sJo5jcG

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 animation-clips-base-100-series-and-date-by-category-pivot-0897a941 -d '<json body>'
```

Example prompt: I have a set of animation clip records with frame counts and dates — can you generate a Base-100 index series and a date-by-asset-group pivot for frame_count, using row index 0 as the base, for these 4 clips: row-1 on 2026-10-01 in group-a with 10 frames, row-2 on 2026-10-02 in group-b with 20 frames, row-3 on 2026-10-03 in group-a with 15 frames, and row-4 on 2026-10-04 in group-b with 30 frames?

## When to prefer this

Use this endpoint when you have animation clip records with frame counts or durations and need both a normalized Base-100 time series and a date-by-category pivot in a single call. It is ideal for small-to-medium animation datasets (up to 200 rows) where you want two complementary analytical views — trend indexing and categorical aggregation — without building your own analytics pipeline. Prefer this over general-purpose analytics tools when your data is already structured around animation clip attributes (asset_group, date, frame_count, duration_seconds).

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes a validation error
- base_index pointing to a row with a null metric value may produce undefined indexing behavior
- Non-numeric or null values in the selected field may result in missing entries in the index series
- Invalid field value (not 'frame_count' or 'duration_seconds') causes schema validation failure

## How this service works

Animation clips — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied animation clips records (frame_count, duration_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 Base-100 index series normalizing the chosen numeric field (frame_count or duration_seconds) relative to a specified baseline row, and (2) a date-by-category pivot table grouping values by date and asset_group. Both reports are computed from the supplied rows using local analytical engines with no external data lookups.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "asset_group",
     "date",
     "frame_count",
     "duration_seconds"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "asset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "frame_count": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "duration_seconds": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "asset_group": "group-a",
     "frame_count": 10,
     "duration_seconds": 1
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "asset_group": "group-b",
     "frame_count": 20,
     "duration_seconds": 2
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "asset_group": "group-a",
     "frame_count": 15,
     "duration_seconds": 3
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "asset_group": "group-b",
     "frame_count": 30,
     "duration_seconds": 4
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "frame_count",
    "duration_seconds"
   ],
   "type": "string",
   "default": "frame_count"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/animation-clips-base-100-series-and-date-by-category-pivot-0897a941/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)