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SignalDesk AI Weighted Mean Calculator
x402
SignalDesk AI Weighted 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 weighted mean of a list of numeric observations given corresponding non-negative weights
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 with a single field 'mean' containing the computed weighted mean as a number (e.g. {"mean": 17.5}).
Example use cases
Weighted grade average calculation
“I have exam scores [72, 85, 90, 60] with weights [0.1, 0.3, 0.4, 0.2] reflecting each exam's contribution to the final grade — what's the weighted mean?”
Portfolio return aggregation
“Compute the weighted average return across my holdings: returns are [0.05, 0.12, -0.03, 0.08] and the portfolio weights are [0.4, 0.25, 0.2, 0.15].”
Survey response importance weighting
“I have survey satisfaction scores [3, 4, 5, 2, 4] from respondents with reliability weights [10, 5, 8, 2, 6] — give me the weighted mean so higher-reliability respondents count more.”
Technical details
Endpoint
POSThttps://x402-agent.kariguetoazul.workers.dev/api/stats/weighted-mean?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a simple, fast, paid-per-call weighted mean computation without setting up your own math library or data pipeline. It is ideal for lightweight agent workflows that already use x402 micropayments and need bounded, stateless numerical aggregation at $0.001 per call. Prefer alternatives if you need full descriptive statistics suites, variance/std-dev alongside the mean, or free unlimited computation.
Side effects
- Mismatched array lengths between values and weights returns an error
- Empty values or weights arrays are rejected (minItems: 1)
- Values or weights exceeding 1e15 in magnitude are rejected
- Non-numeric or negative weight values are rejected
- More than 1000 items in either array returns a validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| values | array | Up to 1000 finite observations. |
| weights | array | Non-negative weights. |
Output
Schema · Response
{
"type": "json",
"example": {
"mean": 17.5
}
}Tags
x402
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