# Document Redaction Review — String Normalisation + Trailing Mean Series

> Document Redaction Review — String Normalisation + 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 2026-10-30).

Computes string normalisation and trailing mean series analytics on document redaction review data (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-14-028?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-30
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/document-redaction-review-string-normalisation-trailing-mean-series-a15a4927
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Wuii4PNt3mD0aZc1AyaM7

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-trailing-mean-series-a15a4927 -d '<json body>'
```

Example prompt: Run string normalisation and trailing mean series analysis on my redaction review data — I have rows with document_group, date, flagged_spans, and reviewed_spans fields, and I want to analyze the flagged_spans field with a trailing window of 3 across up to 200 rows.

## When to prefer this

Choose this endpoint when you have document redaction review records and need both string normalisation and trailing moving average analytics delivered together in a single low-cost call. It is ideal for compliance teams and document review pipelines that want lightweight, locally-computed statistical summaries without any external data lookups or professional assessments. Best suited for batch sizes up to 200 rows at a time.

## Known failure modes

- Fewer than 1 row submitted returns a validation error
- Window size exceeds number of rows causes trailing mean to produce partial or empty series
- Missing required fields (row_id, document_group, date, flagged_spans, reviewed_spans) cause schema validation failure
- Numeric values outside the allowed range (±1,000,000,000,000) are rejected
- More than 200 rows submitted is rejected due to maxItems constraint
- Invalid date format (not YYYY-MM-DD) causes pattern validation failure

## How this service works

Document redaction review — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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 2 analytical reports for the supplied dataset: (1) a string normalisation report applied to the document redaction review records, and (2) a trailing mean series computed over the selected numeric field (flagged_spans or reviewed_spans) using the specified sliding window size. Results are computed locally from submitted 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",
     "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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/document-redaction-review-string-normalisation-trailing-mean-series-a15a4927/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)