# Proposal Preparation Analytics: Numeric Distribution + Daily Sum Series

> Proposal Preparation Analytics: Numeric Distribution + Daily Sum 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).

Generates a numeric distribution report and a daily sum time series for completed_sections and planned_sections fields in proposal preparation records (up to 200 rows, 2 reports per call).

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-075?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-analytics-numeric-distribution-daily-sum-series-c773d84b
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_p4i4z_fLiVM5hTrafna7v

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-analytics-numeric-distribution-daily-sum-series-c773d84b -d '<json body>'
```

Example prompt: Analyze my proposal preparation data — I have 50 rows with row IDs, document groups, dates, and completed_sections and planned_sections counts. Give me the numeric distribution and daily sum series for the completed_sections field.

## When to prefer this

Use this endpoint when you need both a numeric distribution and a daily sum time series for proposal preparation section data in a single low-cost call. It is ideal for offline/batch analysis of up to 200 rows of proposal records without needing live data lookups, predictions, or external integrations. Prefer it over general analytics tools when your data is already structured with row_id, document_group, date, completed_sections, and planned_sections fields.

## Known failure modes

- Exceeding 200 rows causes rejection or truncation
- Missing required fields (row_id, date, completed_sections, planned_sections) result in validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause schema rejection
- Null values in numeric fields may affect distribution or sum accuracy
- Invalid field enum value (not 'completed_sections' or 'planned_sections') returns error
- Empty rows array (minItems:1 violated) causes request failure

## How this service works

Proposal preparation — Numeric distribution + Daily sum series: Numeric distribution + Daily sum series 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 for the specified numeric field (completed_sections or planned_sections): (1) a numeric distribution showing how values are spread across the dataset, and (2) a daily sum series aggregating the field value by date. Both reports are computed locally from the supplied rows (up to 200), with no external lookups or predictions.

## 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-analytics-numeric-distribution-daily-sum-series-c773d84b/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)