# Document Redaction Review — String Normalisation + Adjacent Row Changes

> Document Redaction Review — String Normalisation + Adjacent Row Changes 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).

Performs string normalisation and adjacent row change analysis on document redaction review records (flagged_spans and reviewed_spans) for up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-14-029?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-string-normalisation-adjacent-row-changes-397859a1
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_6q-ZDxn5PG1EbnDTG7ajw

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-string-normalisation-adjacent-row-changes-397859a1 -d '<json body>'
```

Example prompt: Run string normalisation and adjacent row change analysis on my document redaction review records — I have 4 rows with document_group values 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, flagged_spans of 10, 20, 15, 30, and reviewed_spans of 1, 2, 3, 4; use flagged_spans as the target field.

## When to prefer this

Choose this endpoint when you need both string normalisation and adjacent row change analytics on document redaction review data (flagged_spans, reviewed_spans) in a single low-cost call. It is purpose-built for redaction audit workflows requiring row-over-row delta detection and string field cleanup without any live lookups or external dependencies. Ideal for compliance teams processing batch redaction logs up to 200 rows at $0.01 per call.

## Known failure modes

- Input array empty or missing — validation error returned
- row_id missing or blank — schema validation failure
- date field does not match YYYY-MM-DD pattern — rejected
- flagged_spans or reviewed_spans outside ±1,000,000,000,000 range — rejected
- More than 200 rows submitted — payload rejected
- field enum value not 'flagged_spans' or 'reviewed_spans' — validation error
- Payment of 0.01 USDC not provided — 402 Payment Required response

## How this service works

Document redaction review — String normalisation + Adjacent row changes: String normalisation + Adjacent row changes 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

Two analytical reports covering: (1) string normalisation results for the specified field across submitted rows, and (2) adjacent row change analysis showing differences between consecutive rows in the selected numeric field (flagged_spans or reviewed_spans), grouped by document_group and date, 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",
     "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
  },
  "field": {
   "enum": [
    "flagged_spans",
    "reviewed_spans"
   ],
   "type": "string",
   "default": "flagged_spans"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/document-redaction-review-string-normalisation-adjacent-row-changes-397859a1/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)