# Commercial Proposal Comparisons — Numeric Distribution + Date by Category Pivot

> Commercial Proposal Comparisons — Numeric Distribution + Date by Category Pivot 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).

Runs two local analytical reports on commercial proposal comparison data: a numeric distribution of quoted amounts or delivery days, and a date-by-category pivot grouped by company.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-083?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-numeric-distribution-date-by-category-9904bdeb
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_3JgEgJviVQQ5xbUUNil4D

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-numeric-distribution-date-by-category-9904bdeb -d '<json body>'
```

Example prompt: I have 4 commercial proposal records with company groups 'group-a' and 'group-b', dates from 2026-10-01 to 2026-10-04, quoted amounts and delivery days — can you run a numeric distribution plus a date-by-category pivot on the quoted_amount field for me?

## When to prefer this

Choose this endpoint when you have up to 200 commercial proposal records with quoted amounts and delivery days and need both a numeric distribution and a date-by-category pivot in a single low-cost call. It is ideal for procurement analytics, vendor bid comparisons, or RFP response summarization where no external data enrichment or predictions are needed — just fast, self-contained statistical analysis on your own supplied data.

## Known failure modes

- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the row limit
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Field value not in enum ['quoted_amount','delivery_days'] causes rejection
- row_id missing or empty string fails required field validation
- Numeric values outside ±1,000,000,000,000 range are rejected

## How this service works

Commercial proposal comparisons — Numeric distribution + Date by category pivot: Numeric distribution + Date by category pivot 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

Returns two analytical reports: (1) a numeric distribution summarizing the selected field (quoted_amount or delivery_days) across all submitted rows, and (2) a date-by-category pivot showing values grouped by company_group and date. Both reports are computed locally from the supplied data with no external lookups.

## 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"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/commercial-proposal-comparisons-numeric-distribution-date-by-category-9904bdeb/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)