# Commercial Proposal Comparisons — Category Frequencies + Two-Measure Correlation

> Commercial Proposal Comparisons — Category Frequencies + Two-Measure Correlation 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 records to compute category-level frequencies and a Pearson/Spearman correlation between quoted_amount and delivery_days, returning two statistical reports for up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-company-24-108?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-two-measure-32630a2d
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_i68RuJzm2N9xexd8b25VS

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-two-measure-32630a2d -d '<json body>'
```

Example prompt: I have a dataset of commercial proposals with company groups like 'group-a' and 'group-b', quoted amounts, and delivery days — can you run both a category frequency breakdown and a correlation analysis between quoted_amount and delivery_days for these rows?

## When to prefer this

Choose this endpoint when you have up to 200 commercial proposal records with company groupings, quoted amounts, and delivery days and need both a categorical frequency summary and a numeric correlation between the two measures in a single low-cost call. Prefer it over general-purpose analytics tools when you want a fixed-price ($0.01 USDC), serverless, no-setup statistical report on procurement or bid comparison data without sending data to an external ML or BI platform.

## Known failure modes

- Fewer than 1 row provided — validation error
- More than 200 rows submitted — rejected by maxItems constraint
- Missing required fields (row_id, company_group, date, quoted_amount, delivery_days) — schema validation failure
- Date field not matching YYYY-MM-DD pattern — rejected
- Null values in both measures preventing correlation computation — may return NaN or degenerate result
- Payment not completed — 402 response, no reports returned

## How this service works

Commercial proposal comparisons — Category frequencies + Two-measure correlation: Category frequencies + Two-measure correlation 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

Two statistical reports: (1) frequency counts of records per company_group category, and (2) a two-measure correlation (e.g. Pearson or Spearman) between quoted_amount and delivery_days across all supplied rows — both computed locally on the provided 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
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/commercial-proposal-comparisons-category-frequencies-two-measure-32630a2d/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)