# Rig Complexity — Numeric Distribution + Date-by-Category Pivot

> Rig Complexity — Numeric Distribution + 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).

Runs two analytical reports on supplied 3D rig complexity data: a numeric distribution summary and a date-by-category pivot, using bone_count or constraint_count as the target field.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-04-083?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-numeric-distribution-date-by-category-pivot-a1efd29d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ypTKgNpUqjiT9SzfFE62Y

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-numeric-distribution-date-by-category-pivot-a1efd29d -d '<json body>'
```

Example prompt: Analyze my rig complexity data — I have 4 assets: row-1 in group-a on 2026-10-01 with bone_count 10 and constraint_count 1, row-2 in group-b on 2026-10-02 with bone_count 20 and constraint_count 2, row-3 in group-a on 2026-10-03 with bone_count 15 and constraint_count 3, row-4 in group-b on 2026-10-04 with bone_count 30 and constraint_count 4 — give me both the numeric distribution and the date-by-category pivot for bone_count.

## When to prefer this

Choose this endpoint when you have structured 3D rig complexity records (with bone counts, constraint counts, asset groups, and dates) and need two simultaneous analytical reports — a numeric distribution and a date-by-category pivot — for up to 200 rows at a flat cost of $0.01 USDC. It is ideal for game developers, VFX studios, or animators who want fast, local statistical analysis of their rigging data without sending it to an external prediction or assessment service.

## Known failure modes

- Missing required fields (row_id, asset_group, date, bone_count, constraint_count) causes validation error
- Date values not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit
- Invalid field enum value (anything other than 'bone_count' or 'constraint_count') causes rejection
- Empty rows array (minItems: 1 not met) returns error
- Null values in both numeric fields may reduce statistical report quality

## How this service works

Rig complexity — Numeric distribution + Date by category pivot: Numeric distribution + 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 for up to 200 supplied rig records: (1) a numeric distribution report showing the statistical spread (e.g. min, max, mean, percentiles, histogram-style buckets) of the chosen field (bone_count or constraint_count), and (2) a date-by-category pivot breaking down the chosen field's values grouped by date and asset_group. No external lookups or predictions are made — all analysis runs on the supplied rows.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/rig-complexity-numeric-distribution-date-by-category-pivot-a1efd29d/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)