# Days Payables Outstanding Benchmark Correlation Calculator

> Days Payables Outstanding 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 Days Payables Outstanding (DPO) 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-payable-days-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/days-payables-outstanding-benchmark-correlation-calculator-03286bd3
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_ee0I7DJHjjgTd_RQJse5z

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 days-payables-outstanding-benchmark-correlation-calculator-03286bd3 -d '<json body>'
```

Example prompt: Can you compute the Pearson correlation between my Days Payables Outstanding and these benchmarks — I have 4 periods: period 1 is 365 days, average payables $4,000, credit purchases $25,000; period 2 is 402 days, $4,400 payables, $27,500 purchases; period 3 is 365 days, $4,000 payables, $25,000 purchases; period 4 is 402 days, $4,400 payables, $27,500 purchases — and my benchmarks are 45, 50, 55, 60 days?

## When to prefer this

Choose this endpoint when you need a statistically grounded Pearson correlation between Days Payables Outstanding computed from raw payables and credit purchase data against a user-supplied benchmark series, with explicit formula documentation and limitations. Prefer it over generic statistics APIs when you specifically need DPO-aware computation (not raw number correlation) and over financial data APIs when you are supplying your own figures rather than pulling live market data.

## Known failure modes

- Fewer than 2 rows or benchmarks provided — minimum array size of 2 required
- Row count and benchmark count mismatch — arrays must align for correlation calculation
- credit_purchases set to 0 or missing exclusiveMinimum violated — division by zero in DPO formula
- Values exceeding maximum bounds (e.g., average_payables or credit_purchases above 1e12) rejected
- period_days outside 1–3660 range returns validation error
- Malformed JSON input returns 400-level error

## How this service works

Days payables outstanding - Benchmark correlation: Calculate Pearson correlation against aligned supplied benchmarks; no causal or predictive claim. Metric: Days payables outstanding. 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 computed DPO values and the supplied benchmark series, along with the DPO formula used, units of measurement, and explicit limitations (e.g., no causal inference, no predictive claim, no live data).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "average_payables",
     "credit_purchases",
     "period_days"
    ],
    "properties": {
     "period_days": {
      "type": "integer",
      "default": 365,
      "maximum": 3660,
      "minimum": 1
     },
     "average_payables": {
      "type": "number",
      "default": 4000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period"
     },
     "credit_purchases": {
      "type": "number",
      "default": 25000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period",
      "exclusiveMinimum": 0
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "period_days": 365,
     "average_payables": 4000,
     "credit_purchases": 25000
    },
    {
     "period_days": 402,
     "average_payables": 4400,
     "credit_purchases": 27500.000000000004
    },
    {
     "period_days": 365,
     "average_payables": 4000,
     "credit_purchases": 25000
    },
    {
     "period_days": 402,
     "average_payables": 4400,
     "credit_purchases": 27500.000000000004
    }
   ],
   "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/days-payables-outstanding-benchmark-correlation-calculator-03286bd3/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)