# Rig Complexity String Normalisation and Missing Value Fill

> Rig Complexity String Normalisation and Missing Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).

Normalises strings and fills missing values in rig complexity records (bone_count, constraint_count) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-creative-04-037?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-31
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/rig-complexity-string-normalisation-and-missing-value-fill-98fd27b0
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Uz7s5mvrgcPUhEI2tuAJr

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-string-normalisation-and-missing-value-fill-98fd27b0 -d '<json body>'
```

Example prompt: I have a batch of rig complexity records with some missing bone_count values — can you fill those nulls using median imputation and normalise the strings across all rows? Here are up to 50 rows covering asset groups like 'char-hero' and 'char-npc' with dates in 2025.

## When to prefer this

Choose this endpoint when you need deterministic, local string normalisation and missing-value imputation specifically for 3D rig complexity data (bone_count, constraint_count) in batch up to 200 rows. Prefer this over general-purpose data-cleaning APIs when your use case is scoped to animation rig metrics and you need two bundled reports (one per analytical operation) at a fixed low cost of $0.01 USDC. Not suitable for live data lookup, predictive modelling, or datasets larger than 200 rows.

## Known failure modes

- Rows exceed 200 item limit — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- Unknown fill method enum value — schema validation failure
- Numeric values outside ±1,000,000,000,000 range — rejected
- Empty rows array — minimum items constraint violation
- Missing required field row_id — schema validation error

## How this service works

Rig complexity — String normalisation + Explicit missing-value fill: String normalisation + Explicit missing-value fill 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 covering the supplied rows (up to 200): one with normalised string fields and one with explicitly filled missing values for the chosen field (bone_count or constraint_count), using the selected imputation method (zero, mean, or median). No external lookups or predictions are made — all processing is local and deterministic.

## 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"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/rig-complexity-string-normalisation-and-missing-value-fill-98fd27b0/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)