# Commercial Proposal Comparisons — Grouped Numeric Summary + Explicit Missing-Value Fill

> Commercial Proposal Comparisons — Grouped Numeric Summary + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).

Performs grouped numeric summary statistics and explicit missing-value filling on commercial proposal comparison records (quoted_amount, delivery_days) for up to 200 rows, returning two analytical reports per call.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-099?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-17
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/commercial-proposal-comparisons-grouped-numeric-summary-explicit-db0eee3a
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_BTCfDLV9RIMZ2au2SGJl4

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 commercial-proposal-comparisons-grouped-numeric-summary-explicit-db0eee3a -d '<json body>'
```

Example prompt: I have 4 supplier proposals — row-1 from group-a on 2026-10-01 quoting $10 with 1 delivery day, row-2 from group-b on 2026-10-02 quoting $20 with 2 days, row-3 from group-a on 2026-10-03 quoting $15 with 3 days, and row-4 from group-b on 2026-10-04 quoting $30 with 4 days. Can you give me a grouped numeric summary of quoted_amount by company group and fill any missing values using median imputation?

## When to prefer this

Choose this endpoint when you have tabular commercial proposal data (up to 200 rows) with quoted_amount and delivery_days fields grouped by company, and you need both grouped summary statistics and missing-value imputation in a single $0.01 call. It is ideal for procurement workflows where you want to compare supplier bids across vendor groups and clean incomplete data before making award decisions. It is not suitable for real-time price lookups, external data enrichment, predictions, or datasets exceeding 200 rows.

## Known failure modes

- Empty rows array — rejected if minItems:1 not satisfied
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, company_group, date) — schema validation failure
- Invalid enum values for field or method — request rejected
- Numeric values outside ±1,000,000,000,000 range — schema validation failure
- Payment failure — insufficient USDC balance for $0.01 fee

## How this service works

Commercial proposal comparisons — Grouped numeric summary + Explicit missing-value fill: Grouped numeric summary + Explicit missing-value fill for supplied commercial proposal comparisons records (quoted_amount, delivery_days). 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

The endpoint returns two analytical reports: (1) a grouped numeric summary (e.g., min, max, mean, count) of the specified field (quoted_amount or delivery_days) broken down by company_group, and (2) the dataset with missing values in the specified field explicitly filled using the chosen method (zero, mean, or median). Both reports are computed locally without any external lookups or predictions.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "company_group",
     "date",
     "quoted_amount",
     "delivery_days"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "company_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     },
     "delivery_days": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "quoted_amount": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "company_group": "group-a",
     "delivery_days": 1,
     "quoted_amount": 10
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "company_group": "group-b",
     "delivery_days": 2,
     "quoted_amount": 20
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "company_group": "group-a",
     "delivery_days": 3,
     "quoted_amount": 15
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "company_group": "group-b",
     "delivery_days": 4,
     "quoted_amount": 30
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "field": {
   "enum": [
    "quoted_amount",
    "delivery_days"
   ],
   "type": "string",
   "default": "quoted_amount"
  },
  "method": {
   "enum": [
    "zero",
    "mean",
    "median"
   ],
   "type": "string",
   "default": "median"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/commercial-proposal-comparisons-grouped-numeric-summary-explicit-db0eee3a/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)