# Document Redaction Review — Two-Measure Correlation + Keyed Dataset Comparison

> Document Redaction Review — Two-Measure Correlation + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-11-02).

Computes a two-measure correlation and keyed dataset comparison across two sets of document redaction review records (flagged_spans vs reviewed_spans) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-14-183?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-11-02
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/document-redaction-review-two-measure-correlation-keyed-dataset-73a00b6f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XBisfzs-KYDC1Um0fttTA

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 document-redaction-review-two-measure-correlation-keyed-dataset-73a00b6f -d '<json body>'
```

Example prompt: I have two sets of document redaction review records — each with up to 200 rows including row_id, document_group, date, flagged_spans, and reviewed_spans — can you run a two-measure correlation and a keyed dataset comparison across both datasets and give me the two analytical reports?

## When to prefer this

Use this endpoint when you need both a correlation analysis and a keyed cross-dataset comparison on document redaction review data (flagged_spans and reviewed_spans) in a single low-cost call. It is best suited for offline or batch analytical workflows on small datasets (up to 200 rows) where no live data lookup, external API access, or predictive modeling is required.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, document_group, date, flagged_spans, reviewed_spans) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- No matching keys between primary and secondary datasets — comparison report may be empty
- Null values in flagged_spans or reviewed_spans may reduce correlation reliability

## How this service works

Document redaction review — Two-measure correlation + Keyed dataset comparison: Two-measure correlation + Keyed dataset comparison for supplied document redaction review records (flagged_spans, reviewed_spans). 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 two-measure correlation between flagged_spans and reviewed_spans across the supplied rows, and (2) a keyed dataset comparison between the primary and secondary datasets matched by row_id and document_group. No external lookups or predictions are made; all analysis is performed locally on the supplied data.

## Request schema (JSON Schema)

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

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/document-redaction-review-two-measure-correlation-keyed-dataset-73a00b6f/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)