# Proposal Preparation Analytics — Grouped Numeric Summary + Daily Sum Series

> Proposal Preparation Analytics — Grouped Numeric Summary + 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 2026-10-25).

Computes a grouped numeric summary and a daily sum time series for proposal preparation records (completed_sections, planned_sections) across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-089?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-25
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/proposal-preparation-analytics-grouped-numeric-summary-daily-sum-series-280a33e2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ztrRU2MswxnfxY7q4bsFW

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-grouped-numeric-summary-daily-sum-series-280a33e2 -d '<json body>'
```

Example prompt: I have 4 rows of proposal prep data — group-a on 2026-10-01 with 10 completed and 1 planned, group-b on 2026-10-02 with 20 completed and 2 planned, group-a on 2026-10-03 with 15 completed and 3 planned, and group-b on 2026-10-04 with 30 completed and 4 planned — can you give me a grouped numeric summary and a daily sum series for the completed_sections field?

## When to prefer this

Choose this endpoint when you need both a cross-sectional grouped summary and a temporal daily aggregation in a single paid call for proposal preparation data with completed_sections and planned_sections metrics. It is especially suited for agents processing up to 200 rows of structured proposal records without needing external lookups, predictions, or professional assessments. At $0.01 USDC for two reports, it is cost-effective for lightweight analytical pipelines.

## Known failure modes

- Missing required fields (row_id, date, document_group) returns a validation error
- Date values not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows exceeds the maxItems limit and is rejected
- Null numeric values are permitted but may affect sum/summary calculations
- Providing an invalid field enum value (not 'completed_sections' or 'planned_sections') results in an error
- Empty rows array (minItems:1 violated) returns an error

## How this service works

Proposal preparation — Grouped numeric summary + Daily sum series: Grouped numeric summary + 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 independent analytical reports: (1) a grouped numeric summary showing aggregate statistics for the chosen field (completed_sections or planned_sections) broken down by document_group, and (2) a daily sum time series showing the total of that field for each date present in the dataset. Both reports are computed locally from the supplied rows 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proposal-preparation-analytics-grouped-numeric-summary-daily-sum-series-280a33e2/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)