# Commercial Proposal Comparisons — IQR Outlier Flags + Date by Category Pivot

> Commercial Proposal Comparisons — IQR Outlier Flags + 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).

Analyzes commercial proposal data to flag IQR-based outliers and generate a date-by-category pivot table for quoted amounts or delivery days across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-178?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-iqr-outlier-flags-date-by-category-eae0e30e
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_VlBENOibqK45T9fr3X0go

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-iqr-outlier-flags-date-by-category-eae0e30e -d '<json body>'
```

Example prompt: Can you analyze these commercial proposal records for outliers and give me a date-by-category pivot on quoted_amount? I have 50 rows with row IDs, company groups, dates, quoted amounts, and delivery days.

## When to prefer this

Choose this endpoint when you have up to 200 commercial proposal records and need both IQR-based outlier detection and a date-by-category pivot in a single low-cost call ($0.01 USDC). Ideal for procurement analysts or agents comparing vendor bids without needing external data lookups, predictions, or professional assessments. Prefer this over generic analytics tools when working with the specific schema of row_id, company_group, date, quoted_amount, and delivery_days.

## Known failure modes

- Fewer than 1 row supplied — rejected by schema validation
- More than 200 rows supplied — exceeds maximum item limit
- Invalid date format (not YYYY-MM-DD) — schema pattern validation failure
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) — schema validation error
- Invalid field enum value (not 'quoted_amount' or 'delivery_days') — rejected
- Numeric values outside allowed range — schema minimum/maximum violation

## How this service works

Commercial proposal comparisons — IQR outlier flags + Date by category pivot: IQR outlier flags + 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 reports: (1) IQR outlier flags for each row indicating whether the selected field (quoted_amount or delivery_days) is an outlier based on interquartile range, and (2) a pivot table of the selected field values organized by date and company group category. 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-iqr-outlier-flags-date-by-category-eae0e30e/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)