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SignalDesk AI – Geometric Mean Calculator
x402
SignalDesk AI – Geometric Mean Calculator is a paid API for AI agents from x402-agent.kariguetoazul.workers.dev, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-13).
Computes the geometric mean of a list of strictly positive numeric observations
Price / call$0.001
Success—
StatusUnknown
How this service works
Evidence-backed autonomous AI jobs and paid data tools. Queue/D1/cron run outside the chat; free quotas and bounded execution apply.
Output
Returns a JSON object containing a single field 'geometric_mean' with the computed geometric mean of the submitted array of positive numbers (e.g. {"geometric_mean": 4}).
Example use cases
Compound growth rate analysis
“I have annual return rates of 5, 12, 3, 8, and 20 percent — can you compute their geometric mean so I get the true compound average growth rate?”
Environmental sampling aggregation
“I've got pollution concentration measurements across 6 sites: 0.5, 1.2, 3.4, 0.8, 2.1, 4.7 — compute the geometric mean to get a representative central value for these strictly positive readings.”
Index construction averaging
“For building a price index, I need the geometric mean of these price relatives: 1.03, 0.97, 1.12, 1.05, 0.99, 1.08. Can you calculate that?”
Technical details
Endpoint
POSThttps://x402-agent.kariguetoazul.workers.dev/api/stats/geometric-mean?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compute the geometric mean of a set of strictly positive numbers — particularly for financial return rates, growth factors, ratios, index values, or any multiplicative averaging scenario. Unlike arithmetic mean endpoints, this handles compound rates correctly. Prefer it when you have up to 1000 positive observations and need a reliable, paid, bounded computation without setting up local math infrastructure.
Side effects
- Non-positive or zero values in the input array will violate the exclusiveMinimum:0 constraint and return a validation error
- Array with more than 1000 items exceeds maxItems limit
- Empty array (minItems:1 not met) returns validation error
- Non-numeric values in the array cause schema validation failure
- Values exceeding ±1e15 are rejected by min/max constraints
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| values | array | Strictly positive observations. |
Output
Schema · Response
{
"type": "json",
"example": {
"geometric_mean": 4
}
}Tags
x402
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