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Delx Commerce P95 Latency Estimator
x402
Delx Commerce P95 Latency Estimator is a paid API for AI agents from commerce.delx.ai, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-01).
Computes the 95th percentile (P95), min, max, and count statistics from a provided array of numeric latency or metric samples.
Price / call$0.003
Success—
StatusUnknown
How this service works
Pay-per-result APIs for agents. No signup. Exact price. Verifiable delivery. USDC on Base + Solana via x402.
Output
Returns a JSON object containing the P95 estimate, minimum value, maximum value, and sample count derived from the provided numeric samples array, along with a schema identifier and an advisory note clarifying it is an order-statistic estimate on the provided sample only.
Example use cases
API latency tail analysis
“Here are the response times I collected from my API over the last hour: 12, 18, 22, 30, 45, 60, 75, 90, 110, 200, 350 milliseconds. What's the P95 latency and the overall min and max?”
SLO threshold validation
“I need to check if my service is meeting its SLO. Here are 20 latency samples from today's load test — can you compute the P95 so I know if we're under 200ms?”
Agent pipeline timing profiling
“My agent took these amounts of time to complete each step in milliseconds: 5, 8, 12, 9, 7, 15, 11, 100, 6, 8. Give me the P95, min, max, and count so I can understand the tail behavior.”
Technical details
Endpoint
POSThttps://commerce.delx.ai/api/v1/x402/p95-estimate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, pay-per-call P95 (and supporting min/max/count) computation without setting up any backend statistics infrastructure. It is ideal for AI agents doing on-the-fly latency analysis, performance monitoring, or SLO checks where samples are already collected and a single API call is sufficient. Prefer it over building custom percentile logic when cost predictability ($0.003 USDC flat) and no-signup access matter.
Side effects
- Empty or missing samples array returns error
- Non-numeric values in samples array may cause computation failure
- Payment failure via x402 protocol prevents endpoint execution
- Very small sample sizes yield unreliable P95 estimates (noted in advisory)
- Malformed request body returns 400-level error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| samples | array | Latency or metric samples for quantile estimation. |
Output
Schema · Response
{
"type": "json",
"example": {
"max": 200,
"min": 10,
"p95": 200,
"count": 11,
"schema": "delx/util-p95-estimate/v1",
"advisory": "Order-statistic estimate on the provided sample only."
}
}Tags
x402
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