# Rig Complexity Base-100 Series + Date-by-Category Pivot

> Rig Complexity Base-100 Series + 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).

Generates two analytical reports from supplied rig complexity data: a base-100 index series and a date-by-category pivot, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-04-167?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/rig-complexity-base-100-series-date-by-category-pivot-1b1e6b32
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Pxe0cd_F5M8GNnCO-e-ey

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 rig-complexity-base-100-series-date-by-category-pivot-1b1e6b32 -d '<json body>'
```

Example prompt: I have 4 rig complexity records with bone counts and constraint counts across two asset groups — can you run a base-100 index series (anchored to row index 0 on bone_count) and a date-by-category pivot on this data?

## When to prefer this

Choose this endpoint when you have rig complexity tabular data (bone counts and/or constraint counts) and need both a normalized base-100 trend series and a date-by-category pivot in one call. It is purpose-built for animation/rigging production analytics with no need for external data, making it fast and deterministic. Prefer it over generic analytics tools when your data fits the rig complexity schema and you want both report types for a single $0.01 fee.

## Known failure modes

- Fewer than 1 row supplied — validation error
- More than 200 rows supplied — exceeds maximum limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- base_index references a row index that doesn't exist in the supplied array — out-of-bounds error
- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) — schema validation error
- Null values in the selected metric field may produce incomplete index series

## How this service works

Rig complexity — Base-100 series + Date by category pivot: Base-100 series + Date by category pivot for supplied rig complexity records (bone_count, constraint_count). 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 showing how the selected metric (bone_count or constraint_count) changes relative to the chosen base row, and (2) a date-by-category pivot table cross-tabulating the metric values by date and asset_group. Both reports are computed locally from the supplied rows with no external lookups.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/rig-complexity-base-100-series-date-by-category-pivot-1b1e6b32/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)