# Style Guide Audits — Numeric Row Ordering + Daily Sum Series

> Style Guide Audits — Numeric Row Ordering + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Computes two analytical reports (numeric row ordering and daily sum series) over style guide audit records with checked_items and flagged_items fields, for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-05-114?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/style-guide-audits-numeric-row-ordering-daily-sum-series-caba0257
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_61Pvk9iBdokNyNvY3QbcZ

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-daily-sum-series-caba0257 -d '<json body>'
```

Example prompt: Rank these style guide audit rows by checked_items and also give me a daily sum series for flagged_items — I have 4 rows: row-1 on 2026-10-01 with checked_items=10 and flagged_items=1 in group-a, row-2 on 2026-10-02 with checked_items=20 and flagged_items=2 in group-b, row-3 on 2026-10-03 with checked_items=15 and flagged_items=3 in group-a, row-4 on 2026-10-04 with checked_items=30 and flagged_items=4 in group-b.

## When to prefer this

Choose this endpoint when you have style guide audit tabular data and need both a ranked ordering of individual rows and a time-series daily aggregation in a single $0.01 call. It is purpose-built for checked_items and flagged_items fields and processes up to 200 rows with no external API dependency, making it reliable and deterministic for editorial analytics workflows.

## Known failure modes

- Rows array is empty or missing — validation error
- More than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null values in checked_items or flagged_items may affect aggregation results
- Invalid field enum value (not checked_items or flagged_items) — validation error
- row_id or document_group exceeds 80 character limit — schema rejection

## How this service works

Style guide audits — Numeric row ordering + Daily sum series: Numeric row ordering + Daily sum 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 are returned: (1) a numeric row ordering report ranking the supplied audit rows by the chosen metric (checked_items or flagged_items), and (2) a daily sum series aggregating the chosen metric by date. 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",
     "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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/style-guide-audits-numeric-row-ordering-daily-sum-series-caba0257/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)