# Rig Complexity Analytics: Numeric Row Ordering + Date-by-Category Pivot

> Rig Complexity Analytics: Numeric Row Ordering + 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 2026-10-21).

Generates two local analytical reports for rig complexity data — numeric row ordering and a date-by-category pivot — across up to 200 rows of bone_count and constraint_count records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-04-122?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-21
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/rig-complexity-analytics-numeric-row-ordering-date-by-category-pivot-4efe8515
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_hL7bcG_kdY2evM9wRRfB7

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-analytics-numeric-row-ordering-date-by-category-pivot-4efe8515 -d '<json body>'
```

Example prompt: I have a list of animation rig records with bone counts and constraint counts for different asset groups — can you run a numeric row ordering report plus a date-by-category pivot on them, using bone_count as the field, for these rows: row-1 group-a 2026-10-01 bones=10 constraints=1, row-2 group-b 2026-10-02 bones=20 constraints=2, row-3 group-a 2026-10-03 bones=15 constraints=3?

## When to prefer this

Choose this endpoint when you have structured rig complexity records (bone_count, constraint_count) and need both a ranked numeric ordering and a date-by-category pivot in a single low-cost call. Ideal for animation pipeline tools, rigging audits, or asset management dashboards that need fast local analytics on up to 200 rig records without any external data lookups or prediction services.

## Known failure modes

- Missing required row fields (row_id, asset_group, date, bone_count, constraint_count) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error
- Invalid field enum value (not bone_count or constraint_count) causes rejection
- Empty rows array is not accepted (minItems: 1)
- Numeric values outside ±1,000,000,000,000 bounds may be rejected

## How this service works

Rig complexity — Numeric row ordering + Date by category pivot: Numeric row ordering + 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

Two analytical reports: (1) a numeric row ordering of the supplied rig records ranked by the chosen field (bone_count or constraint_count), and (2) a date-by-category pivot table cross-referencing dates against asset groups for the selected metric. Both reports are computed locally from the supplied data 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/rig-complexity-analytics-numeric-row-ordering-date-by-category-pivot-4efe8515/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)