# Proposal Preparation — Record Quality Audit + String Normalisation + Numeric Row Ordering

> Proposal Preparation — Record Quality Audit + 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 2026-10-23).

Audits data quality, normalises strings, and orders rows numerically for proposal preparation records containing completed_sections and planned_sections fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-196?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-23
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/proposal-preparation-record-quality-audit-string-normalisation-5542e900
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_gwmmB0Qr1tnasbaODCTWJ

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-record-quality-audit-string-normalisation-5542e900 -d '<json body>'
```

Example prompt: Can you run a record quality audit, string normalisation, and numeric row ordering on my proposal preparation data — I have rows with completed_sections and planned_sections fields across document groups like 'group-a' and 'group-b', dated from 2026-10-01 to 2026-10-04, and I want the analysis on the completed_sections field?

## When to prefer this

Choose this endpoint when you need three bundled local analytical operations — quality audit, string normalisation, and numeric ordering — on proposal preparation records in a single low-cost call. Ideal when you do not need live data lookup, prediction, or external enrichment, and your dataset is under 200 rows. The flat $0.01 USDC fee for all three reports makes it cost-efficient for batch QA workflows on proposal section data.

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- row_id missing or empty — required field error
- completed_sections or planned_sections values outside allowed numeric range
- Invalid field enum value supplied (must be 'completed_sections' or 'planned_sections')
- Malformed JSON body causes request rejection

## How this service works

Proposal preparation — Record quality audit + String normalisation + Numeric row ordering: Record quality audit + String normalisation + Numeric row ordering for supplied proposal preparation records (completed_sections, planned_sections). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.

## Output

Three independent analytical reports for the supplied proposal preparation dataset (up to 200 rows): (1) a record quality audit identifying missing, invalid, or inconsistent values; (2) a string normalisation report standardising text fields like document_group; and (3) a numeric row ordering report sorting records by the selected numeric field (completed_sections or planned_sections).

## 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
  },
  "field": {
   "enum": [
    "completed_sections",
    "planned_sections"
   ],
   "type": "string",
   "default": "completed_sections"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proposal-preparation-record-quality-audit-string-normalisation-5542e900/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)