# Commercial Proposal Comparisons — Numeric Row Ordering + Trailing Mean Series

> Commercial Proposal Comparisons — Numeric Row Ordering + Trailing Mean Series 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).

Sorts commercial proposal rows numerically and computes a trailing mean series for quoted_amount or delivery_days across up to 200 proposal comparison records.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-115?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-row-ordering-trailing-mean-47f7d707
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_06nOIvtVFYhwoGf_xI_jY

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-row-ordering-trailing-mean-47f7d707 -d '<json body>'
```

Example prompt: I have 4 vendor proposals — row-1 from group-a on 2026-10-01 quoting $10 in 1 day, row-2 from group-b on 2026-10-02 quoting $20 in 2 days, row-3 from group-a on 2026-10-03 quoting $15 in 3 days, row-4 from group-b on 2026-10-04 quoting $30 in 4 days — can you sort them numerically by quoted_amount and compute a trailing mean series with a window of 2?

## When to prefer this

Choose this endpoint when you need both numeric row ordering and a trailing moving-average series for commercial proposal data (quoted_amount or delivery_days) in a single low-cost call. It is ideal for procurement analytics on datasets up to 200 rows where no external data, predictions, or real-time lookups are needed — just local statistical computation on your supplied records.

## Known failure modes

- Fewer than 1 row submitted — minimum 1 row required
- More than 200 rows submitted — maximum is 200
- Window size exceeds number of rows — trailing mean cannot be computed for early rows
- Invalid date format (must match YYYY-MM-DD pattern)
- Missing required fields: row_id, company_group, date, quoted_amount, or delivery_days
- Field value out of numeric bounds (±1,000,000,000,000)
- row_id exceeds 80 character limit

## How this service works

Commercial proposal comparisons — Numeric row ordering + Trailing mean series: Numeric row ordering + Trailing mean series 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 for the submitted proposal rows: (1) the rows sorted in numeric order by the selected field (quoted_amount or delivery_days), and (2) a trailing mean series computed over the specified window size for that field — all derived 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"
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/commercial-proposal-comparisons-numeric-row-ordering-trailing-mean-47f7d707/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)