# Style Guide Audits — Numeric Row Ordering + Trailing Mean Series

> Style Guide Audits — Numeric Row Ordering + Trailing Mean Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).

Sorts style guide audit rows numerically and computes a trailing moving average series for checked_items or flagged_items across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-05-115?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-24
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/style-guide-audits-numeric-row-ordering-trailing-mean-series-1f9b185a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_5EhB3iKEPnCqzCfdseKnX

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-numeric-row-ordering-trailing-mean-series-1f9b185a -d '<json body>'
```

Example prompt: Sort my style guide audit records numerically by flagged_items and compute a trailing mean series with a window of 3 — I have rows for document groups like 'legal-docs' and 'marketing-copy' with dates and both checked_items and flagged_items counts, up to 50 rows total.

## When to prefer this

Choose this endpoint when you need two lightweight analytical reports — numeric ordering and a trailing mean series — on style guide audit records (checked_items, flagged_items) without any external data enrichment, predictions, or professional assessment. It is ideal for small to medium datasets (up to 200 rows) where local computation suffices and cost matters ($0.01 for both reports). Prefer alternatives if you need real-time lookups, ML-based predictions, or more than 200 rows.

## Known failure modes

- Fewer than 1 row supplied — minimum items validation error
- More than 200 rows supplied — maxItems exceeded error
- Window size larger than number of rows — insufficient data for trailing mean
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- Missing required fields (row_id, document_group, date) — schema validation error
- Non-numeric values in checked_items or flagged_items — type validation error

## How this service works

Style guide audits — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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

Two analytical reports: (1) the input rows sorted in numeric order by the chosen field (checked_items or flagged_items), and (2) a trailing moving average series for that field computed over the specified window size — both derived locally from the supplied data without any external lookups.

## 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/style-guide-audits-numeric-row-ordering-trailing-mean-series-1f9b185a/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)