# Commercial Proposal Comparisons — Exact Row Deduplication + Adjacent Row Changes

> Commercial Proposal Comparisons — Exact Row Deduplication + 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 analytical reports on commercial proposal data: exact row deduplication and adjacent row changes, for up to 200 rows of quoted_amount or delivery_days data.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-046?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-exact-row-deduplication-adjacent-row-acf9d9b2
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_J-y8zygT4-D0PbPawBOSj

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-exact-row-deduplication-adjacent-row-acf9d9b2 -d '<json body>'
```

Example prompt: I have a list of up to 200 commercial proposal rows with company group, date, quoted amount, and delivery days — can you run the exact row deduplication and adjacent row changes reports on the quoted_amount field for me?

## When to prefer this

Choose this endpoint when you need fast, local deduplication and adjacent-change detection on structured commercial proposal data (quoted_amount or delivery_days) without any live lookup, ML prediction, or external data enrichment. Ideal for preprocessing procurement datasets before review, cleaning bid comparison exports, or identifying row-level redundancy and sequential shifts in proposal values at very low cost ($0.01 for both reports).

## Known failure modes

- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) cause validation errors
- Invalid date format (non-YYYY-MM-DD) triggers schema validation failure
- Field selector not one of 'quoted_amount' or 'delivery_days' causes enum validation error
- Numeric values outside allowed range (-1e12 to 1e12) are rejected
- Empty rows array returns an error

## How this service works

Commercial proposal comparisons — Exact row deduplication + Adjacent row changes: Exact row deduplication + 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) an exact row deduplication report identifying and removing fully duplicate rows from the supplied proposal dataset, and (2) an adjacent row changes report showing value differences between consecutive rows for the selected field (quoted_amount or delivery_days), all computed locally without 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-exact-row-deduplication-adjacent-row-acf9d9b2/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)