# Editorial Review Base-100 Series + Two-Measure Correlation

> Editorial Review Base-100 Series + Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-23).

Computes a base-100 indexed time series and Pearson correlation between comment_count and resolved_comments for up to 200 editorial review records

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-03-165?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/editorial-review-base-100-series-two-measure-correlation-96079c47
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_xsC1P90dRhzyRexE43eQk

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-base-100-series-two-measure-correlation-96079c47 -d '<json body>'
```

Example prompt: Can you run a base-100 series and two-measure correlation on my editorial review data? I have 4 rows with comment_count and resolved_comments across two document groups (group-a and group-b) from October 2026, and I want the index to start from row 0 (base_index = 0), using comment_count as the primary field.

## When to prefer this

Choose this endpoint when you need both a base-100 normalized time series AND a two-measure correlation for editorial review data (comment_count vs resolved_comments) in a single $0.01 call covering up to 200 rows. Prefer it over generic stats services when your data is already structured with document_group, date, row_id fields and you want two coordinated analytical outputs without any external data lookup or prediction.

## Known failure modes

- Rows array empty or missing — validation error returned
- More than 200 rows supplied — request rejected with schema violation
- base_index out of range (>=number of rows) — index error
- Null values in comment_count or resolved_comments may affect correlation calculation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, document_group, date) cause row-level validation failure

## How this service works

Editorial review — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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

Returns two analytical reports: (1) a base-100 indexed series for the specified field (comment_count or resolved_comments) anchored to the chosen base_index row, showing relative change over time; and (2) a Pearson or equivalent correlation coefficient between comment_count and resolved_comments across all supplied rows. Results are computed locally with no external lookups.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/editorial-review-base-100-series-two-measure-correlation-96079c47/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)