# Style Guide Audits — Secondary-Measure Weighted Mean + Explicit Missing-Value Fill

> Style Guide Audits — Secondary-Measure Weighted Mean + Explicit 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 2026-10-27).

Computes a secondary-measure weighted mean and fills missing values in style guide audit records (checked_items, flagged_items) for up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-05-187?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-27
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/style-guide-audits-secondary-measure-weighted-mean-explicit-missing-f05389ac
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_2Ki2PLyfG_i5zn36K8HiN

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 style-guide-audits-secondary-measure-weighted-mean-explicit-missing-f05389ac -d '<json body>'
```

Example prompt: I have up to 200 rows of style guide audit records with checked_items and flagged_items counts — can you compute the secondary-measure weighted mean for flagged_items and fill any missing values using median imputation, then give me 2 analytical reports?

## When to prefer this

Choose this endpoint when you have tabular style guide audit data (checked_items, flagged_items) and need both a secondary-measure weighted mean and systematic missing-value imputation in a single low-cost call. Ideal when your dataset is under 200 rows and you want two distinct analytical views without calling a general-purpose analytics platform. Prefer this over manual computation or heavier data pipelines when the audit domain is writing/document style compliance and cost-efficiency matters ($0.01 USDC for 2 reports).

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, date, document_group) causing row-level validation errors
- Invalid date format (must be YYYY-MM-DD) causing parse failure
- All values for the selected field are null, making weighted mean computation undefined
- Invalid enum value for 'field' or 'method' parameters causing schema validation error
- Payment not completed (x402 protocol) resulting in 402 response and no report generated

## How this service works

Style guide audits — Secondary-measure weighted mean + Explicit missing-value fill: Secondary-measure weighted mean + Explicit missing-value fill for supplied style guide audits records (checked_items, flagged_items). 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 2 independent analytical reports per call: one covering secondary-measure weighted mean calculations and one covering explicit missing-value fills for the chosen field (checked_items or flagged_items) across the supplied rows (up to 200). Results are derived purely from the submitted data using local statistical engines — no external data or predictions are involved.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/style-guide-audits-secondary-measure-weighted-mean-explicit-missing-f05389ac/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)