#safety

Ladder-safety maths as an API, computed locally and deterministically — the angle, reach and load numbers that keep a ladder from sliding out or buckling. The angle endpoint applies the 4:1 rule: the base goes out one foot for every four feet of working length, which lands the ladder at about 75.5° — a 24-foot ladder sits 6 feet from the wall and reaches roughly 23 feet up, steep enough not to tip back and shallow enough not to slide. The extension endpoint gives the usable length and reach of a two-section extension ladder, which loses the overlap the sections share (3 feet up to 36, 4 to 48, 5 beyond), and the working height at the safe angle — remembering the ladder must extend 3 feet above a roof edge you step onto. The duty-rating endpoint turns a total load — your weight plus tools and materials, not just bodyweight — into the right duty class, from Type III household (200 lb) through I industrial (250) to IAA professional (375). Everything is computed locally and deterministically, so it is instant and private. Ideal for construction-safety and trades apps, jobsite and rental tools, OSHA training aids, and home-improvement sites. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 compute endpoints. Educational — always follow the manufacturer's labels and OSHA/ANSI rules.

api.oanor.com/ladder-api

Rock-climbing fall maths as an API, computed locally and deterministically — the safety numbers behind a lead fall, from the harshness of the catch to whether you hit the deck. The fall-factor endpoint gives the fall factor, distance fallen ÷ rope paid out, from 0 to a maximum of 2: it, not the absolute distance, decides how hard the catch is, so 4 metres on 2 metres of rope is a brutal factor-2 onto the anchor while the same fall on 10 metres of rope is a mild 0.4. The impact-force endpoint gives the peak force the rope transmits from the spring model F = mg + √((mg)² + 2·mg·k·f), where k is the rope modulus (~20 kN for a dynamic single rope) and f the fall factor — so an 80 kg climber on a factor-1 fall feels about 6.4 kN, and the top runner sees roughly 1.66× that from the pulley effect. The ground-fall endpoint adds it up: total drop = twice the height above the last piece, plus slack, plus the rope's stretch, and tells you whether that clears the ground or a ledge. Everything is computed locally and deterministically, so it is instant and private. Ideal for climbing apps, gym and guiding tools, route-planning and education sites, and gear calculators. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 compute endpoints. Educational estimates — not a substitute for instruction and judgement.

api.oanor.com/climbing-api

Física de frenado de vehículos como API, calculada local y determinísticamente. El endpoint de distancia de frenado calcula la distancia total para detener un vehículo como la suma de la distancia de reacción que el vehículo recorre durante el tiempo de reacción del conductor, v·t, y la distancia de frenado v²/(2·μ·g) — que crece con el cuadrado de la velocidad, por lo que duplicar la velocidad cuadruplica la distancia de frenado — a partir de la velocidad, el coeficiente de fricción neumático-carretera, el tiempo de reacción y la pendiente de la carretera, junto con la desaceleración y el tiempo hasta detenerse. El endpoint de fuerza de frenado calcula la fuerza de frenado F = m·a y la desaceleración de un vehículo, ya sea a partir de una parada en una distancia dada (a = v²/2d) o del coeficiente de fricción (a = μ·g), con la energía cinética que debe disiparse como calor. El endpoint de velocidad de derrape reconstruye la velocidad al inicio de un derrape a partir de la longitud de la marca de derrape, v = √(2·μ·g·d), una estimación de límite inferior utilizada en reconstrucción de accidentes. La velocidad está en km/h por defecto (también m/s o mph), la masa en kg y las distancias en m; el asfalto seco tiene μ ≈ 0.7, mojado ≈ 0.4 y hielo ≈ 0.1. Todo se calcula local y determinísticamente, por lo que es instantáneo y privado. Ideal para desarrolladores de aplicaciones automotrices, de seguridad vial, flotas, telemática y reconstrucción de accidentes, herramientas de distancia de frenado y forenses, y educación en física. Cálculo local puro — sin clave, sin servicio de terceros, instantáneo. En vivo, nada almacenado. 3 endpoints. Esto es frenado de vehículos; para cinemática general use una API de cinemática y para un objeto en una pendiente use una API de plano inclinado.

api.oanor.com/brake-api

Rigging and lifting load maths as an API, computed locally and deterministically. The wll endpoint relates the working load limit to the minimum breaking strength through the safety (design) factor: give a breaking strength and it returns the working load limit (WLL = MBS ÷ safety factor), or give a working load limit and it returns the minimum breaking strength your hardware must be rated for (MBS = WLL × safety factor). The safety factor can be given directly or looked up by component — general rigging and wire rope 5, chain sling 4, shackle 6, personnel/man-rated 10. The sling endpoint computes the tension in each leg of a multi-leg sling as the lifting angle changes: because the legs pull at an angle, each carries more than its share, with a load factor of 1/sin(angle to horizontal) — 1.0 vertical, 1.15 at 60°, 1.41 at 45° and 2.0 at 30° — and it accepts the angle from horizontal, from vertical or the included angle between legs. The safety endpoint lists the typical design factors. Loads are given in kilograms, pounds, tonnes, kilonewtons or newtons and reported in all of them. Everything is computed locally and deterministically, so it is instant and private. A planning aid, not a substitute for a qualified rigger or the governing standard (ASME B30, EN, local code). Ideal for crane and lifting apps, construction and warehouse tools, theatrical and entertainment rigging, and towing and recovery calculators. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is rigging load maths; for the weight of the steel being lifted use a metal-weight API.

api.oanor.com/rigging-api

Open UK policing data as an API, from the official data.police.uk service (UK Home Office). Pull street-level crimes within about a mile of any coordinate for a given month — each with its category, approximate street, location and judicial outcome — query stop-and-search records (type, demographics, object of search, outcome and legislation) for the same area, browse the 44 territorial police forces with contact and engagement details, and list the standard crime categories. Covers England, Wales and Northern Ireland. Ideal for property and neighbourhood-safety apps, real-estate and relocation tools, local-news and civic-data dashboards, and crime and policing research.

api.oanor.com/ukpolice-api

Official US vehicle safety data from NHTSA: look up safety recalls (campaign number, affected component, consequence and remedy), owner complaints, and NCAP 5-star crash-test ratings (overall, frontal, side and rollover) for any make, model and year. Ideal for car marketplaces, dealer tools, insurance and consumer-safety apps.

api.oanor.com/vehiclesafety-api

Moderate images automatically with on-device machine learning. Classify any image across five categories — neutral, drawing, sexy, porn and hentai — and receive per-class probabilities, the top class, a combined NSFW score and a clear verdict (safe, questionable or nsfw). A simpler check endpoint returns a single safe/unsafe decision against a threshold you choose, ideal for upload gates and user-generated-content pipelines. Supply an image by public URL, base64 or a raw binary request body; only public http/https URLs are accepted and private or internal hosts are blocked, and large images are downscaled automatically. Runs locally on TensorFlow (NSFWJS / MobileNetV2) — no third-party upstream and no per-image cloud cost — with a warm model that keeps inference fast. Ideal for community platforms, marketplaces, dating and chat apps, and any service that accepts user images.

api.oanor.com/nsfw-api