#reliability

Reliability-engineering maths as an API, computed locally and deterministically — the availability, MTBF and failure maths behind SLAs and dependable systems. The availability endpoint converts between MTBF and MTTR, a target availability and the SLA "nines": give it a mean time between failures and a mean time to repair and it returns the availability A = MTBF/(MTBF+MTTR) and the downtime per year, month, week and day; give it a number of nines and it returns the budget — three nines (99.9 %) is 8.76 hours of downtime a year, five nines (99.999 %) just 5.26 minutes. The reliability endpoint computes the probability a unit survives a mission time under the exponential model R(t) = e^(−λt) with its constant hazard λ = 1/MTBF, or the Weibull model R(t) = e^(−(t/η)^β) — β below one for infant mortality, one for random failures, above one for wear-out — returning the reliability, failure probability, hazard rate and the mean life η·Γ(1+1/β). The system endpoint combines component reliabilities into a system: series (the weakest link, ΠRᵢ), parallel redundancy (1−Π(1−Rᵢ)) or k-of-n voting. Everything is computed locally and deterministically, so it is instant and private. Ideal for SRE, DevOps, hardware-reliability, safety-engineering and SLA-planning app developers, uptime-budget and redundancy-design tools, and engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 compute endpoints. This is reliability and availability maths; for queue wait-times use a queueing API and for live uptime checks use a monitoring service.

api.oanor.com/reliability-api

Rolling-element bearing life maths (ISO 281) as an API, computed locally and deterministically. The life endpoint computes the basic rating life of a ball or roller bearing, L10 = (C/P)^p — where p is 3 for ball bearings and 10/3 for roller bearings — from the dynamic load rating C and the equivalent load P, reporting the life in millions of revolutions and, given a speed in rpm, in hours and days; it also works backwards, solving the minimum dynamic load rating needed for a target life, or the maximum load a bearing can carry to still reach it. The load endpoint computes the equivalent dynamic load P = X·Fr + Y·Fa from the radial and axial loads and the bearing X and Y factors, the single load value the life formula needs. The reliability endpoint applies the ISO 281 life-modification factor a1 to give the adjusted rating life Lna = a1·L10 for any survival probability from 90 % up to 99.95 %, interpolated from the standard reliability table. Everything is computed locally and deterministically, so it is instant and private. Ideal for mechanical-engineering, maintenance and reliability tools, machine and drivetrain design, predictive-maintenance and lifetime-costing apps, and engineering education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is rolling-bearing rating life; for shaft torsion stress use a torsion API and for rotational energy use a flywheel API.

api.oanor.com/bearing-api

Political-bias and factual-reporting ratings for 1,350+ news sources, sourced from AllSides and Media Bias/Fact Check. Look up any outlet by domain or name to get its left/center/right political lean (5-point scale) and high/mixed/low factual reliability — ideal for news aggregators, media-literacy tools and content moderation.

api.oanor.com/mediabias-api