# Proposal Preparation Data Quality Suite — Record Audit, Deduplication & Category Frequencies

> Proposal Preparation Data Quality Suite — Record Audit, Deduplication & Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-26).

Runs three analytical reports on proposal preparation records: a record quality audit, exact row deduplication, and category frequency counts for completed_sections and planned_sections fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-212?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-26
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/proposal-preparation-data-quality-suite-record-audit-deduplication-8b6ef7a5
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_j_qlcnbKgsVZ-zYDa-WB2

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-data-quality-suite-record-audit-deduplication-8b6ef7a5 -d '<json body>'
```

Example prompt: Can you run a data quality audit, exact deduplication check, and category frequency summary on my proposal preparation records? I have up to 50 rows with document groups like 'group-a' and 'group-b', dates in YYYY-MM-DD format, and counts for completed_sections and planned_sections.

## When to prefer this

Use this endpoint when you need a bundled, cost-effective ($0.01 USDC) suite of three data quality operations on proposal preparation records specifically involving completed_sections and planned_sections fields. It is ideal when you want quality audit, deduplication, and frequency analysis in a single call without needing live external data, predictions, or professional assessment. Best for datasets up to 200 rows where local analytical computation is sufficient.

## Known failure modes

- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, date, completed_sections, planned_sections) cause row-level audit failures
- Date strings not matching YYYY-MM-DD pattern flagged as format errors
- Empty input array (minItems: 1 not met) causes rejection
- Numeric values outside allowed range (-1e12 to 1e12) may be flagged in quality audit

## How this service works

Proposal preparation — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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 returned together: (1) a record quality audit flagging nulls, format violations, and anomalies in the input rows; (2) an exact row deduplication report identifying and removing identical duplicate records; (3) a category frequency table showing counts and distributions of completed_sections and planned_sections grouped by document_group. All computed locally with no external lookups.

## 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-data-quality-suite-record-audit-deduplication-8b6ef7a5/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)