# Days Sales Outstanding – Rolling Mean Report

> Days Sales Outstanding – Rolling Mean Report is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-22).

Calculates trailing full-window rolling means of Days Sales Outstanding (DSO) across an ordered series of observations, returning results with formula, units, and limitations.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-finance-receivable-days-rolling?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-22
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/days-sales-outstanding-rolling-mean-report-f1021400
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_JDlNKtFuxb9FuedvIyX1i

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-sales-outstanding-rolling-mean-report-f1021400 -d '<json body>'
```

Example prompt: Can you calculate the rolling mean Days Sales Outstanding for these 4 periods using a window of 2: period 1 has $8,000 average receivables and $40,000 net credit sales over 365 days; period 2 has $8,800 receivables and $44,000 credit sales over 402 days; period 3 matches period 1; period 4 matches period 2?

## When to prefer this

Choose this endpoint when you need a statistically smoothed view of Days Sales Outstanding over an ordered time series, particularly when preserving gaps from invalid rows is important. It is ideal for finance teams analyzing AR collection trends across multiple periods where point-in-time DSO is too noisy. Use it over a simple DSO calculator when you have at least 2 observations and want trailing window averaging rather than a single-period result.

## Known failure modes

- Fewer than 2 rows provided — minimum row count not met
- Window size larger than number of rows — insufficient data for even one full window
- net_credit_sales of zero would cause division-by-zero — field requires exclusiveMinimum > 0
- Values exceeding maximum bounds (1,000,000,000,000) rejected with validation error
- Non-numeric or missing required fields cause schema validation failure
- Window larger than 200 or rows exceeding 200 items rejected

## How this service works

Days sales outstanding - Rolling mean report: Calculate trailing full-window means over ordered observations, preserving invalid-row gaps. Metric: Days sales 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 rolling mean report report.

## Output

A JSON object containing the rolling mean DSO values for each valid full-window position, along with the DSO formula used (average receivables / net credit sales × period days), units, gap preservation details for invalid rows, and limitations of the calculation.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "average_receivables",
     "net_credit_sales",
     "period_days"
    ],
    "properties": {
     "period_days": {
      "type": "integer",
      "default": 365,
      "maximum": 3660,
      "minimum": 1
     },
     "net_credit_sales": {
      "type": "number",
      "default": 40000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period",
      "exclusiveMinimum": 0
     },
     "average_receivables": {
      "type": "number",
      "default": 8000,
      "maximum": 1000000000000,
      "minimum": 0,
      "description": "Amount in a consistent supplied currency and reporting period"
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "period_days": 365,
     "net_credit_sales": 40000,
     "average_receivables": 8000
    },
    {
     "period_days": 402,
     "net_credit_sales": 44000,
     "average_receivables": 8800
    },
    {
     "period_days": 365,
     "net_credit_sales": 40000,
     "average_receivables": 8000
    },
    {
     "period_days": 402,
     "net_credit_sales": 44000,
     "average_receivables": 8800
    }
   ],
   "maxItems": 200,
   "minItems": 2
  },
  "window": {
   "type": "integer",
   "default": 2,
   "maximum": 200,
   "minimum": 2
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/days-sales-outstanding-rolling-mean-report-f1021400/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)