# Proposal Preparation Data Analyst — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series

> Proposal Preparation Data Analyst — Record Quality Audit + Exact Row Deduplication + Trailing Mean Series 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 data: a record quality audit, exact row deduplication, and a trailing mean series for completed_sections or planned_sections fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-216?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-analyst-record-quality-audit-exact-row-5816791c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_51QSou9Tyjwkak3LcYMey

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-analyst-record-quality-audit-exact-row-5816791c -d '<json body>'
```

Example prompt: Can you run a record quality audit, exact deduplication, and trailing mean series (window of 3) on my proposal preparation data for completed_sections? I have rows with row_id, document_group, date, completed_sections, and planned_sections — up to 50 rows across two groups.

## When to prefer this

Choose this endpoint when you need three simultaneous lightweight analytical operations on proposal preparation data (quality audit, deduplication, trailing mean) without any external data lookups or AI predictions. It is ideal for pre-reporting cleanup and trend summarization of section completion metrics at low cost ($0.01 for all three reports on up to 200 rows).

## Known failure modes

- Fewer than 1 or more than 200 rows submitted — request rejected
- date field not matching YYYY-MM-DD pattern — validation error
- window parameter outside 2–200 range — error returned
- Invalid field value (not 'completed_sections' or 'planned_sections') — enum validation failure
- numeric values outside allowed range (±1,000,000,000,000) — schema rejection
- Payment not included or insufficient — x402 payment required response

## How this service works

Proposal preparation — Record quality audit + Exact row deduplication + Trailing mean series: Record quality audit + Exact row deduplication + Trailing mean series 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

Returns three independent analytical reports: (1) a record quality audit identifying missing, malformed, or out-of-range values in the proposal rows; (2) an exact row deduplication report listing and removing identical records; (3) a trailing mean series computed over the specified window for the chosen numeric field (completed_sections or planned_sections), organized by date and document_group. All reports are computed locally from the supplied data 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
  },
  "field": {
   "enum": [
    "completed_sections",
    "planned_sections"
   ],
   "type": "string",
   "default": "completed_sections"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proposal-preparation-data-analyst-record-quality-audit-exact-row-5816791c/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)