# Proposal Preparation Analytics — Grouped Numeric Summary + Base-100 Series

> Proposal Preparation Analytics — Grouped Numeric Summary + Base-100 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).

Analyzes proposal preparation records by computing a grouped numeric summary and a Base-100 indexed series for completed_sections and planned_sections fields, across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-writing-08-092?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-grouped-numeric-summary-base-100-series-94ef076f
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_cXSu9GnLqoFd33vxx_Qr6

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-base-100-series-94ef076f -d '<json body>'
```

Example prompt: Can you run two analytics reports on my proposal preparation data — a grouped numeric summary and a Base-100 index series for completed_sections, using document_group as the grouping key, with the baseline set at index position 0? I have 4 rows covering groups A and B from late October 2026.

## When to prefer this

Choose this endpoint when you have proposal preparation records with numeric section counts and need both grouped descriptive statistics and a Base-100 time-indexed comparison in a single low-cost call ($0.01 USDC). It is ideal for offline/supplied-data analytics with no need for live data fetching, predictions, or external integrations. Best suited for document-group-level performance comparisons over time.

## Known failure modes

- Empty or missing rows array returns a validation error
- base_index out of range (>= number of rows submitted) causes an error
- Rows missing required fields (row_id, date, document_group) are rejected
- More than 200 rows submitted exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes a schema validation failure
- Field value not in enum ['completed_sections','planned_sections'] causes rejection
- All null values in the selected field may produce undefined or empty statistics

## How this service works

Proposal preparation — Grouped numeric summary + Base-100 series: Grouped numeric summary + Base-100 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 reports: (1) a grouped numeric summary with descriptive statistics (e.g. mean, min, max, count) for the chosen field broken down by document_group, and (2) a Base-100 indexed time series for the chosen field, where the value at the specified base_index row is normalized to 100 and all other values are expressed relative to it.

## 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"
  },
  "base_index": {
   "type": "integer",
   "default": 0,
   "maximum": 199,
   "minimum": 0
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/proposal-preparation-analytics-grouped-numeric-summary-base-100-series-94ef076f/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)