# Commercial Proposal Comparisons — Category Frequencies + Adjacent Row Changes

> Commercial Proposal Comparisons — Category Frequencies + Adjacent Row Changes 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 data: category frequency counts and adjacent row change deltas for quoted_amount or delivery_days fields.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-104?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-category-frequencies-adjacent-row-e5de6079
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_GgJ5S854izABtk1p1J09a

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-category-frequencies-adjacent-row-e5de6079 -d '<json body>'
```

Example prompt: I have 4 commercial proposal rows from group-a and group-b with dates from 2026-10-01 to 2026-10-04 and quoted amounts of 10, 20, 15, and 30 — can you run a category frequency report and show me the adjacent row changes for quoted_amount?

## When to prefer this

Choose this endpoint when you have up to 200 rows of commercial proposal or vendor bid data and need two specific analytical views — category group frequencies and consecutive-row numeric deltas — without any external lookups or ML predictions. It is best suited for lightweight, self-contained analysis of procurement or RFQ datasets at very low cost ($0.01 per call).

## Known failure modes

- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) causes validation error
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted exceeds the maxItems limit
- Invalid field enum value (not quoted_amount or delivery_days) causes rejection
- Null numeric values may affect adjacent-row delta calculations

## How this service works

Commercial proposal comparisons — Category frequencies + Adjacent row changes: Category frequencies + Adjacent row changes 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) a category frequency table showing how many times each company_group appears in the dataset, and (2) an adjacent row change report showing the difference in the selected numeric field (quoted_amount or delivery_days) between each consecutive row, up to 200 rows total.

## 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-category-frequencies-adjacent-row-e5de6079/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)