# Proposal Preparation — String Normalisation + Duplicate Key Report

> Proposal Preparation — String Normalisation + Duplicate Key Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-25).

Runs two local analytical reports on proposal preparation records: string normalisation and duplicate key detection across up to 200 rows of completed/planned sections data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-021?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/proposal-preparation-string-normalisation-duplicate-key-report-14ad773e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_bAgamg4OsdtoNh6eaxB4y

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 proposal-preparation-string-normalisation-duplicate-key-report-14ad773e -d '<json body>'
```

Example prompt: Can you normalize the string fields and check for duplicate row IDs in my proposal preparation data? I have 4 rows across two document groups (group-a and group-b) with dates from 2026-10-01 to 2026-10-04 and completed_sections values of 10, 20, 15, and 30.

## When to prefer this

Choose this endpoint when you need lightweight, local data quality checks on proposal preparation records specifically — string normalisation and duplicate key detection — without requiring external data lookups, ML predictions, or professional assessments. It is cost-effective at $0.01 USDC for up to 200 rows and two reports simultaneously. Prefer alternatives if you need live web search, numeric distribution analysis, or row deduplication beyond key-based duplicate detection.

## Known failure modes

- Submitting more than 200 rows returns a validation error
- Missing required fields (row_id, date, completed_sections, planned_sections) cause rejection
- Dates not matching YYYY-MM-DD pattern fail schema validation
- row_id exceeding 80 characters is rejected
- completed_sections or planned_sections values outside ±1,000,000,000,000 are rejected
- Empty rows array is not accepted (minItems: 1)

## How this service works

Proposal preparation — String normalisation + Duplicate key report: String normalisation + Duplicate key report for supplied proposal preparation records (completed_sections, planned_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: (1) a string normalisation report highlighting inconsistencies or non-standard string values in fields like document_group across the submitted rows, and (2) a duplicate key report identifying rows with matching or conflicting key combinations within the dataset. No external lookups or predictions are made — 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",
     "completed_sections",
     "planned_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
     },
     "planned_sections": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "completed_sections": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "document_group": "group-a",
     "planned_sections": 1,
     "completed_sections": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "document_group": "group-b",
     "planned_sections": 2,
     "completed_sections": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "document_group": "group-a",
     "planned_sections": 3,
     "completed_sections": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "document_group": "group-b",
     "planned_sections": 4,
     "completed_sections": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proposal-preparation-string-normalisation-duplicate-key-report-14ad773e/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)