# Policy Revision Tracking — String Normalisation + Numeric Row Ordering

> Policy Revision Tracking — String Normalisation + Numeric Row Ordering 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).

Normalises string fields and orders rows numerically for policy revision tracking records containing revised_sections and total_sections fields, producing two analytical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-11-025?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/policy-revision-tracking-string-normalisation-numeric-row-ordering-083c7af4
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_a3kNWxlMltbWwo7uf1gFc

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 policy-revision-tracking-string-normalisation-numeric-row-ordering-083c7af4 -d '<json body>'
```

Example prompt: Can you normalise and numerically order these policy revision tracking records by revised_sections? I have 4 rows: row-1 for group-a on 2026-10-01 with revised_sections=10 and total_sections=1, row-2 for group-b on 2026-10-02 with revised_sections=20 and total_sections=2, row-3 for group-a on 2026-10-03 with revised_sections=15 and total_sections=3, and row-4 for group-b on 2026-10-04 with revised_sections=30 and total_sections=4 — I need two reports back.

## When to prefer this

Choose this endpoint when you need lightweight, local string normalisation combined with numeric row ordering specifically for policy revision tracking records with revised_sections and total_sections fields, and require two independent analytical reports per call. It is ideal for batch processing up to 200 rows at low cost ($0.01 USDC) without needing external lookups, predictions, or live data enrichment.

## Known failure modes

- Fewer than 1 or more than 200 rows supplied — request rejected
- Missing required fields (row_id, document_group, date, revised_sections, total_sections) — validation error
- Date field not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (-1e12 to 1e12) — schema error
- Invalid field enum value (must be 'revised_sections' or 'total_sections') — bad request
- Payment not provided or insufficient — 402 Payment Required

## How this service works

Policy revision tracking — String normalisation + Numeric row ordering: String normalisation + Numeric row ordering for supplied policy revision tracking records (revised_sections, total_sections). 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 string-normalised records and numerically ordered rows for the supplied policy revision tracking data, based on the chosen field (revised_sections or total_sections) across up to 200 input rows. No external lookups or predictions are included — 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",
     "revised_sections",
     "total_sections"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "document_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "total_sections": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "revised_sections": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "document_group": "group-a",
     "total_sections": 1,
     "revised_sections": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "document_group": "group-b",
     "total_sections": 2,
     "revised_sections": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "document_group": "group-a",
     "total_sections": 3,
     "revised_sections": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "document_group": "group-b",
     "total_sections": 4,
     "revised_sections": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "revised_sections",
    "total_sections"
   ],
   "type": "string",
   "default": "revised_sections"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/policy-revision-tracking-string-normalisation-numeric-row-ordering-083c7af4/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)