# Days Inventory Outstanding – Benchmark Correlation

> Days Inventory Outstanding – Benchmark Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Calculates the Pearson correlation between computed Days Inventory Outstanding (DIO) values and a set of user-supplied benchmark figures.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-finance-inventory-days-correlation?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/days-inventory-outstanding-benchmark-correlation-66d61e59
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_0AJDbLemJ_XDLWvxGk4fF

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-inventory-outstanding-benchmark-correlation-66d61e59 -d '<json body>'
```

Example prompt: Can you calculate the Pearson correlation between our Days Inventory Outstanding and these benchmarks — [10, 20, 30, 40] — using two periods: one with average inventory of $5,000 and cost of sales of $30,000 over 365 days, and another with $5,500 average inventory and $33,000 cost of sales over 402 days?

## When to prefer this

Choose this endpoint when you need a quick, statistically bounded Pearson correlation between computed Days Inventory Outstanding figures and a parallel series of benchmark values, and you want the output to include the formula, units, and explicit limitations — all from supplied data with no live feed dependency. It is particularly suited for financial reporting workflows, CFO dashboards, or supply chain audits where a cost-efficient ($0.01 USDC) single-report correlation suffices and no causal or predictive analysis is required.

## Known failure modes

- Fewer than 2 rows or benchmark values provided — minimum items not met
- Mismatched array lengths between rows and benchmarks may yield undefined correlation
- Cost of sales value of zero rejected due to exclusiveMinimum constraint
- Values exceeding maximum bounds (1 trillion) cause validation errors
- Benchmark array length not aligned with rows array length — correlation may be meaningless

## How this service works

Days inventory outstanding - Benchmark correlation: Calculate Pearson correlation against aligned supplied benchmarks; no causal or predictive claim. Metric: Days inventory 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

Returns a JSON object containing the computed Pearson correlation coefficient between the calculated DIO values and the supplied benchmark series, along with the formula used, units of measurement, and explicit limitations (e.g. no causal inference, no predictive claims, supplied figures only).

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "average_inventory",
     "cost_of_sales",
     "period_days"
    ],
    "properties": {
     "period_days": {
      "type": "integer",
      "default": 365,
      "maximum": 3660,
      "minimum": 1
     },
     "cost_of_sales": {
      "type": "number",
      "default": 30000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period",
      "exclusiveMinimum": 0
     },
     "average_inventory": {
      "type": "number",
      "default": 5000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "period_days": 365,
     "cost_of_sales": 30000,
     "average_inventory": 5000
    },
    {
     "period_days": 402,
     "cost_of_sales": 33000,
     "average_inventory": 5500
    },
    {
     "period_days": 365,
     "cost_of_sales": 30000,
     "average_inventory": 5000
    },
    {
     "period_days": 402,
     "cost_of_sales": 33000,
     "average_inventory": 5500
    }
   ],
   "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-inventory-outstanding-benchmark-correlation-66d61e59/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)