# Operating Profit Benchmark Correlation Calculator

> Operating Profit Benchmark Correlation Calculator is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).

Calculates Pearson correlation between computed operating profit values and user-supplied benchmark figures, returning a JSON report with formula, units, and limitations.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-finance-operating-profit-correlation?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-18
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/operating-profit-benchmark-correlation-calculator-b040970c
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_tLplCM-QD4TAf8mBBR6r8

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 operating-profit-benchmark-correlation-calculator-b040970c -d '<json body>'
```

Example prompt: Calculate the Pearson correlation between our operating profit and a benchmark index — we have 4 quarters of data: revenues of 10000, 11000, 10500, 12000; cost of sales 6000, 6600, 6300, 7200; operating expenses 2000, 2200, 2100, 2400; and benchmark values of 10, 20, 30, 40.

## When to prefer this

Choose this endpoint when you need a statistically grounded Pearson correlation between computed operating profit figures and a supplied reference benchmark — particularly when you already have revenue, cost of sales, and operating expense data in hand and want a bounded, explainable report with formula and limitations. Prefer it over general statistics tools when you want the operating-profit metric computed and correlated in a single call. Not suitable for predictive modelling, live financial data, or causal inference.

## Known failure modes

- Fewer than 2 rows or benchmark values provided — minimum 2 items required
- Mismatched array lengths between rows and benchmarks — arrays must align
- Revenue or cost values outside allowed bounds (±1 trillion) — validation error returned
- Non-numeric values in input fields — schema validation failure
- Benchmark values that are all identical (zero variance) — correlation undefined, returns error or NaN
- Payment not completed — 402 response, no computation performed

## How this service works

Operating profit - Benchmark correlation: Calculate Pearson correlation against aligned supplied benchmarks; no causal or predictive claim. Metric: Operating profit. Supplied figures only; returns JSON with formula, units and limitations. One of 50 calculators with 20 analysis modes. No live feed, financial advice or trade execution. 0.01 USDC includes one bounded benchmark correlation report.

## Output

A JSON object containing the Pearson correlation coefficient between calculated operating profit (revenue minus cost_of_sales minus operating_expenses) and the supplied benchmark series, along with the formula used, measurement units, and explicit limitations (no causal or predictive claims).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "revenue",
     "cost_of_sales",
     "operating_expenses"
    ],
    "properties": {
     "revenue": {
      "type": "number",
      "default": 10000,
      "maximum": 1000000000000,
      "minimum": -1000000000000,
      "description": "Amount in a consistent supplied currency and reporting period"
     },
     "cost_of_sales": {
      "type": "number",
      "default": 6000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period"
     },
     "operating_expenses": {
      "type": "number",
      "default": 2000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "revenue": 10000,
     "cost_of_sales": 6000,
     "operating_expenses": 2000
    },
    {
     "revenue": 11000,
     "cost_of_sales": 6600.000000000001,
     "operating_expenses": 2200
    },
    {
     "revenue": 10000,
     "cost_of_sales": 6000,
     "operating_expenses": 2000
    },
    {
     "revenue": 11000,
     "cost_of_sales": 6600.000000000001,
     "operating_expenses": 2200
    }
   ],
   "maxItems": 200,
   "minItems": 2
  },
  "benchmarks": {
   "type": "array",
   "items": {
    "type": "number",
    "default": 1,
    "maximum": 1000000000000000000,
    "minimum": -1000000000000000000
   },
   "default": [
    10,
    20,
    30,
    40
   ],
   "maxItems": 200,
   "minItems": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/operating-profit-benchmark-correlation-calculator-b040970c/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)