# Proposal Preparation — Record Quality Audit + Category Frequencies

> Proposal Preparation — Record Quality Audit + 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 a record quality audit and category frequency analysis on proposal preparation data (completed_sections, planned_sections) for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-006?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-record-quality-audit-category-frequencies-8aedcabd
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_8N6pRnTTE-gupY10K4ckh

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-category-frequencies-8aedcabd -d '<json body>'
```

Example prompt: Can you run a record quality audit and category frequency report on my proposal preparation data? I have 4 rows with document groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, and completed_sections and planned_sections values for each row.

## When to prefer this

Choose this endpoint when you need both a data quality audit and category frequency distribution for proposal preparation records in a single low-cost call. It is ideal for batch validation of up to 200 rows of proposal tracking data with completed_sections and planned_sections fields, and when you want offline analytical processing without any external lookups or live predictions. At $0.01 USDC for two reports, it is cost-effective for routine data hygiene checks on proposal pipelines.

## Known failure modes

- Submitting more than 200 rows returns an error or truncation
- Missing required fields (row_id, date, completed_sections, planned_sections) cause row-level validation failures
- Dates not matching YYYY-MM-DD pattern are flagged or rejected
- row_id exceeding 80 characters causes schema validation failure
- Empty rows array (minItems: 1 violated) returns an error
- Numeric values outside ±1,000,000,000,000 range rejected by schema

## How this service works

Proposal preparation — Record quality audit + Category frequencies: Record quality audit + Category frequencies 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

Returns two analytical reports: (1) a record quality audit identifying missing values, nulls, out-of-range fields, and data integrity issues across all submitted rows; and (2) a category frequency report showing how often each document_group value appears in the dataset. Both reports are derived entirely from the supplied data using local analytical engines — no external lookups or predictions are made.

## 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-record-quality-audit-category-frequencies-8aedcabd/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)