Little's law (L = λ·W)
API · /queue-api
Queueing Theory API
Queueing-theory maths as an API, computed locally and deterministically. The littles-law endpoint applies Little's law, L = λ·W — the average number in a system equals the arrival rate times the average time in the system — and solves for whichever of the three you leave out; it holds for any stable system, from a checkout line to a request pipeline. The mm1 endpoint gives the full steady-state metrics of a single-server M/M/1 queue from the arrival rate λ and the service rate μ: the utilization ρ = λ/μ, the average number in the system and in the queue, the average time in the system and waiting, and the probability the system is empty — and it flags an unstable queue when ρ ≥ 1. The mmc endpoint extends this to a multi-server M/M/c queue with the Erlang-C waiting probability, returning the offered load in erlangs, the per-server utilization, the chance an arrival has to wait, and the same length and time metrics. Rates must share a time unit, and the times come out in that unit. Everything is computed locally and deterministically, so it is instant and private. Ideal for capacity-planning and operations tools, call-centre and staffing apps, server and throughput sizing, and operations-research education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is queueing theory; for descriptive statistics on a list of numbers use a statistics API.
API health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 80 ms
- Server probes · 24h
- Subscribers
- 3,808
- active
- Total calls
- 76
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 2,000 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- Little's law L = lambda * W endpoint
- Deterministic local compute, no upstream latency
- 2,000 calls/month for prototyping
Starter
€9.00 /month
- 40,000 calls / month
- 5 requests / second
- Hard cap (429 above quota, no overage)
- M/M/1 and M/M/c queue metrics
- Erlang B/C blocking & wait probabilities
- 40,000 calls/month
- Email support
Pro
€24.00 /month
- 250,000 calls / month
- 15 requests / second
- Hard cap (429 above quota, no overage)
- Full capacity-planning suite (utilization, Lq, Wq)
- Multi-server staffing optimization
- 250,000 calls/month
- Priority support
Mega
€75.00 /month
- 1,543,000 calls / month
- 40 requests / second
- Hard cap (429 above quota, no overage)
- Unlimited queueing-model endpoints
- High-throughput batch capacity planning
- 1,500,000 calls/month
- SLA-backed support
Built by
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Frequently asked questions
Quick answers about pricing, quotas, and integration.
How do I get an API key for Queueing Theory API?
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Code snippets
Sign up to get an API key, then call any path under your slug.
curl https://api.oanor.com/queue-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/queue-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/queue-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
"https://api.oanor.com/queue-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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