# Editorial Review Analytics — Numeric Row Ordering + Trailing Mean Series

> Editorial Review Analytics — 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 2026-10-26).

Sorts editorial review records by numeric value and computes a trailing moving average over comment_count or resolved_comments for up to 200 rows, returning two bundled analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-03-115?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/editorial-review-analytics-numeric-row-ordering-trailing-mean-series-2729aff6
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_4j45D_vBs5gWy18n-d7pC

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 editorial-review-analytics-numeric-row-ordering-trailing-mean-series-2729aff6 -d '<json body>'
```

Example prompt: Sort my editorial review records by comment_count and compute a 3-period trailing mean series over comment_count — I have 4 rows with dates from 2026-10-01 to 2026-10-04 across groups group-a and group-b, and I want both the ordering and the moving average reports.

## When to prefer this

Choose this endpoint when you need two bundled offline analytical reports — numeric row ordering and a trailing moving average — on editorial review data (comment_count, resolved_comments) without requiring any live lookup, external data, or prediction. It is cost-effective at $0.01 for both reports on up to 200 rows and is ideal for batch summarization of editorial workflow data.

## Known failure modes

- Fewer than 1 row submitted returns a validation error
- Window size larger than the number of rows may produce sparse or empty trailing mean output
- Missing required row fields (row_id, date, comment_count, resolved_comments) cause schema validation failure
- More than 200 rows submitted exceeds the limit and is rejected
- Invalid date format (not YYYY-MM-DD) causes a parsing error
- Null values in the selected numeric field may reduce usable rows in the mean series

## How this service works

Editorial review — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series for supplied editorial review records (comment_count, resolved_comments). 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 reordered by the selected numeric field (comment_count or resolved_comments) in ranked order, and (2) a trailing moving average series computed over the selected field using the specified window size, for up to 200 input rows.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/editorial-review-analytics-numeric-row-ordering-trailing-mean-series-2729aff6/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)