# Document Redaction Review — Numeric Row Ordering + Base-100 Series

> Document Redaction Review — Numeric Row Ordering + Base-100 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 numeric row ordering and a Base-100 index series for document redaction review records (flagged_spans, reviewed_spans) across up to 200 rows, returning 2 analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-14-117?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-numeric-row-ordering-base-100-series-a071a2fc
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_eya023E4QT07qEPkCsYYx

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-numeric-row-ordering-base-100-series-a071a2fc -d '<json body>'
```

Example prompt: I have 4 redaction review records for document groups A and B from October 2026 — can you rank them numerically by flagged_spans and also generate a Base-100 index series starting at index 0? Here are the rows: row-1 (2026-10-01, group-a, flagged=10, reviewed=1), row-2 (2026-10-02, group-b, flagged=20, reviewed=2), row-3 (2026-10-03, group-a, flagged=15, reviewed=3), row-4 (2026-10-04, group-b, flagged=30, reviewed=4).

## When to prefer this

Choose this endpoint when you need both a numeric ranking and a Base-100 normalization series for document redaction review data in a single low-cost call. It is ideal for compliance teams tracking flagged vs. reviewed span volumes across document groups over time, and when you want two bundled analytical outputs (ordering + index series) without any external lookup or live data dependency.

## Known failure modes

- Fewer than 1 row submitted — minItems:1 violated, request rejected
- More than 200 rows submitted — maxItems:200 exceeded, request rejected
- Invalid date format (not YYYY-MM-DD) — pattern validation fails
- row_id missing or empty — required field violation
- base_index out of range (>199 or <0) — validation error
- flagged_spans or reviewed_spans values outside [-1e12, 1e12] — rejected
- field enum value not 'flagged_spans' or 'reviewed_spans' — invalid enum error

## How this service works

Document redaction review — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 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: (1) a numeric row ordering of the submitted redaction review records ranked by the selected field (flagged_spans or reviewed_spans), and (2) a Base-100 index series normalizing the field values relative to a specified base row index. No external data is fetched; all computation is performed locally on the supplied 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/document-redaction-review-numeric-row-ordering-base-100-series-a071a2fc/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)