# Policy Revision Tracking — String Normalisation + Secondary-Measure Weighted Mean

> Policy Revision Tracking — String Normalisation + Secondary-Measure Weighted Mean 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).

Applies string normalisation and secondary-measure weighted mean analytics to policy revision tracking records (revised_sections, total_sections) in up to 200 rows, returning 2 independent analytical reports.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-11-034?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-secondary-measure-daa2ecf8
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_KeoN78DMsGhcJKRBR_GvJ

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-secondary-measure-daa2ecf8 -d '<json body>'
```

Example prompt: Can you run string normalisation and a secondary-measure weighted mean on these policy revision records? I have 4 rows across group-a and group-b with dates from 2026-10-01 to 2026-10-04, tracking revised_sections and total_sections — I want both analytical reports.

## When to prefer this

Choose this endpoint when you need both string normalisation and weighted mean analytics on policy revision tracking data in a single cheap call ($0.01 USDC for 2 reports). Ideal for compliance, legal, or document management workflows where you have up to 200 structured rows with section counts and need clean statistical summaries without any external data lookups or predictions.

## Known failure modes

- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, revised_sections, total_sections) causes row rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- Null values in both numeric fields may produce undefined weighted mean results
- Invalid field enum value (not 'revised_sections' or 'total_sections') causes request failure

## How this service works

Policy revision tracking — String normalisation + Secondary-measure weighted mean: String normalisation + Secondary-measure weighted mean 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 independent analytical reports per call: (1) string-normalised representation of the selected field values across all input rows, and (2) a secondary-measure weighted mean computed using the paired numeric fields (revised_sections, total_sections), segmented by document_group and date as applicable. All computation is local with no external lookups.

## 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-secondary-measure-daa2ecf8/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)