# Proposal Preparation Analytics — Daily Sum Series + Two-Measure Correlation

> Proposal Preparation Analytics — Daily Sum Series + Two-Measure Correlation 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).

Computes a daily sum time series and a two-measure correlation analysis for proposal preparation data (completed_sections and planned_sections) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-141?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-analytics-daily-sum-series-two-measure-correlation-d94d9e11
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_R-t5ObLVjFsPM70SxTguS

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-daily-sum-series-two-measure-correlation-d94d9e11 -d '<json body>'
```

Example prompt: Can you run a daily sum series and correlation analysis on my proposal preparation data? I have rows with document_group, date, completed_sections, and planned_sections — up to 50 rows — and I want to use completed_sections as the primary field.

## When to prefer this

Choose this endpoint when you have tabular proposal preparation records with daily timestamps and two numeric measures (completed_sections, planned_sections) and need both a time-aggregated daily sum series and a statistical correlation between those two measures in a single low-cost call. It is ideal for lightweight, self-contained analytics on up to 200 rows without requiring an external analytics platform or data warehouse.

## Known failure modes

- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, date, document_group, completed_sections, planned_sections) cause validation errors
- Invalid date format (must be YYYY-MM-DD) causes schema rejection
- Null values in numeric fields may affect correlation computation
- Empty input array (minItems: 1 not met) returns an error
- Insufficient date variation for meaningful time series if all rows share the same date

## How this service works

Proposal preparation — Daily sum series + Two-measure correlation: Daily sum series + Two-measure correlation 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 daily sum time series aggregating the selected field (completed_sections or planned_sections) by date, and (2) a two-measure correlation between completed_sections and planned_sections across the supplied rows. Both reports are computed locally on up to 200 input rows 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-daily-sum-series-two-measure-correlation-d94d9e11/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)