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API · /samplesize-api

Sample Size API

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Survey and poll sample-size planning as an API, computed locally and deterministically. The proportion endpoint computes the number of respondents needed to estimate a proportion within a target margin of error at a chosen confidence level, n = z²·p(1−p)/E², defaulting to the worst-case p = 0.5 that maximises the required size, with an optional finite-population correction n/(1 + (n−1)/N) for a known population — the classic ±5 % margin at 95 % confidence needs 385 responses, ±3 % needs 1 068, and capping the population at 1 000 cuts the ±5 % requirement to 278. The mean endpoint sizes a sample for estimating a mean to within a margin of error from the standard deviation, n = (z·σ/E)². The margin endpoint inverts the relationship, returning the margin of error a given sample size actually achieves. The critical z-value is computed from the confidence level with a high-accuracy inverse-normal so any confidence works, not just the textbook 90/95/99 %. Margins, proportions and confidence are decimals (0.05, 0.5, 0.95). Everything is computed locally and deterministically, so it is instant and private. Ideal for market-research, polling, UX-research, survey-platform, product-analytics and statistics-education app developers, study-planning and sample-size tools, and research software. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is sample-size planning with the normal approximation; for A/B-test significance use an A/B-test API and for descriptive statistics a statistics API.

#sample-size #survey #margin-of-error #polling #market-research #developer-tools
api.oanor.com/samplesize-api
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/api/samplesize-api/openapi.json
/api/samplesize-api/llms.txt

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Tempo di attività
100.00%
Sondaggi del server · 24 ore su 24
Latenza media
87 ms
Sondaggi del server · 24 ore su 24
Abbonati
3,896
attiva
Chiamate totali
20
ultimi 7 giorni
status Pagina di stato completa → · 24 sonde/24h

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Free

Gratis

  • 6,200 chiamate/mese
  • 2 richieste/secondo
  • Tetto rigido (429 sopra la quota, nessuna eccedenza)
  • 6,200 llamadas/mes
  • 2 solicitudes/seg
  • Proporción + media + margen de error
  • Sin tarjeta de crédito
Accedi per abbonarti

Starter

€5.60 /mese

  • 62,000 chiamate/mese
  • 6 richieste/secondo
  • Tetto rigido (429 sopra la quota, nessuna eccedenza)
  • 62,000 calls/month
  • 6 req/sec
  • Any confidence level, finite population
  • Email support
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Pro

€15.80 /mese

  • 280,000 chiamate/mese
  • 15 richieste/secondo
  • Tetto rigido (429 sopra la quota, nessuna eccedenza)
  • 280,000 calls/month
  • 15 req/sec
  • Survey-platform & research pipelines
  • Priority support
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Mega

€49.50 /mese

  • 1,550,000 chiamate/mese
  • 40 richieste/secondo
  • Tetto rigido (429 sopra la quota, nessuna eccedenza)
  • 1,550,000 llamadas/mes
  • 40 req/seg
  • Escala de plataforma
  • SLA dedicado
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PremiumApi

Correlato APIs

Altro APIs con tag sovrapposti.

Statistical Inference API

Inferential-statistics maths as an API, computed locally and deterministically. The samplesize endpoint computes how many respondents a survey or experiment needs for a proportion, n = Z²·p(1−p)/E², from a confidence level and a margin of error (using p = 0.5 for the most conservative size), with a finite-population correction when the population is known. The confidence endpoint builds a confidence interval for a mean (estimate ± Z·σ/√n) or a proportion (p ± Z·√(p(1−p)/n)), returning the standard error, margin of error and the lower and upper bounds. The ztest endpoint runs a one-sample z-test, z = (x̄ − μ₀)/(σ/√n), and returns the z-score, the one- or two-tailed p-value and whether the result is significant at the chosen alpha. The z-scores come from an exact inverse-normal and the p-values from the normal CDF. Everything is computed locally and deterministically, so it is instant and private. Ideal for A/B-testing, survey, research and analytics app developers, experiment dashboards and data-science tools, and education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is inferential statistics; for descriptive statistics use a statistics API and for probability distributions use a probability API.

api.oanor.com/inference-api

Reptile Husbandry API

Reptile-husbandry maths as an API, computed locally and deterministically — the keeper numbers behind a healthy vivarium, so the setup is right before the animal moves in. The enclosure endpoint turns an animal length and its habit into the minimum floor length, width and height: terrestrial snakes want a floor at least as long as the snake (a 48-inch corn snake → a 48 × 24 × 24 inch minimum, eight square feet of floor), arboreal species trade floor for height (an 18-inch chameleon → 27 × 18 × 36 inches, tall), and ground lizards and tortoises need far more floor than their body length. The uvb endpoint gives the UV-B target by Ferguson zone — the 1-to-4 classification from Baines et al. (2016) of how much sun a species basks in — returning the mean and basking UV-index ranges (zone 3 open baskers want a basking UVI of 2.9–7.4), and, if you pass a lamp UVI measured at a reference distance, an inverse-square estimate of the mounting distance for the right basking UVI. The feeding endpoint sizes prey from body weight and life stage: a meal of roughly 10–15 % of body weight, no wider than the animal, on an interval that lengthens with age — a 500 g adult snake takes a 40–60 g prey item every fortnight. Everything is computed locally and deterministically, so it is instant and private. Ideal for reptile-keeper and herpetoculture apps, pet-store and breeder tools, vivarium-planning calculators, and care-sheet sites. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 compute endpoints. Educational husbandry estimates — not veterinary advice; research your exact species.

api.oanor.com/reptile-api

Garden Pond API

Garden and koi-pond maths as an API, computed locally and deterministically — the numbers behind a backyard water feature, so you do not have to guess at the hose. The volume endpoint turns length, width and average depth into the water volume in cubic feet, US gallons and litres, applying a shape factor (rectangular 1.0, oval or round 0.79, irregular 0.85) because a liner pond never holds the full bounding box: an 8 × 6 ft pond two feet deep is about 96 cubic feet, or 718 gallons. The liner endpoint sizes the flexible liner to fit a pond — length equals the pond length plus twice the maximum depth plus twice the overlap to anchor under the edging stones (same for width), so that same 8 × 6 pond at two feet deep with a one-foot overlap needs a 14 × 12 ft liner and matching underlayment. The stock endpoint turns a water volume into a safe fish load and the pump you need: roughly one koi per 250 gallons (they grow large and dirty) or one goldfish per 20, plus the pump flow in gallons per hour to turn the whole pond over at least once an hour for koi — 718 gallons holds about two koi and wants a ~720 GPH pump before head-height losses. Everything is computed locally and deterministically, so it is instant and private. Ideal for landscaping and pond-installer tools, garden-design and home-improvement apps, koi and water-garden hobbyist sites, and aquascaping calculators. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 compute endpoints. For pool chemistry use a pool API; for indoor fish tanks use an aquarium API.

api.oanor.com/pond-api

Sunscreen & UV API

Sonnen-sicherheits-Mathematik als API, lokal und deterministisch berechnet – die Brennzeit-, SPF- und Nachauftragungszahlen, mit denen eine Sonnencreme-, Wetter- oder Outdoor-App Menschen schützt. Der burntime-Endpunkt schätzt, wie lange es bis zum Sonnenbrand dauert, basierend auf dem Fitzpatrick-Hauttyp (1 sehr hell bis 6 stark pigmentiert), dem UV-Index und dem SPF: Die ungeschützte Zeit ist eine hauttypspezifische Basis (Typ II etwa 15 Minuten) skaliert mit 6 ÷ UV-Index, und die geschützte Zeit ist das multipliziert mit dem SPF – so brennt helle Typ-II-Haut bei UV 8 in etwa 11 Minuten ungeschützt oder etwa 5½ Stunden unter SPF 30, während sehr helle Typ-I-Haut bei extremem UV 11 in 5 Minuten brennt. Der spf-Endpunkt dreht es um: Der benötigte SPF = gewünschte Minuten im Freien ÷ ungeschützte Zeit, mit dem Hinweis, dass der reale Schutz bei SPF 30–50 ein Plateau erreicht. Der amount-Endpunkt behandelt den Teil, den die Leute falsch machen – etwa 2 mg/cm², ungefähr 1 Unze (30 g, ein Schnapsglas) für einen ganzen erwachsenen Körper, alle zwei Stunden neu aufgetragen – und summiert die Sonnencreme für einen Tag im Freien. Alles wird lokal und deterministisch berechnet, also sofort und privat. Ideal für Entwickler von Sonnenschutz-, Wetter-, Hautpflege- und Outdoor-Apps, UV-Warn- und Erinnerungstools sowie Wellness-Software. Reine lokale Berechnung – kein API-Key, kein Drittanbieter-Service, sofort. Bildungsbezogene Schätzungen, kein medizinischer Rat. Live, nichts wird gespeichert. 3 Compute-Endpunkte.

api.oanor.com/sunscreen-api

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Come ottengo una chiave API per Sample Size API?
Registrati gratuitamente su oanor.com, genera una chiave API dalla dashboard sviluppatore e chiama Sample Size API con l'header x-oanor-key. Nessuna carta di credito richiesta per il piano gratuito.
Qual è il limite di velocità di Sample Size API?
Il piano gratuito consente 1 richiesta al secondo. I piani a pagamento arrivano fino a 50 richieste al secondo nel piano Mega. I limiti rigorosi restituiscono HTTP 429 oltre la quota — nessuna spesa imprevista.
Quanto costa Sample Size API?
Sample Size API ha un piano gratuito con 100 chiamate / mese. I piani a pagamento partono da €5.60 / mese con quote più alte e limiti di velocità più rapidi.
Posso cancellare l'abbonamento in qualsiasi momento?
Sì. I piani sono fatturati mensilmente e puoi cancellare in qualsiasi momento dalla dashboard di fatturazione. Nessun contratto a lungo termine e nessuna penale di cancellazione.
Sample Size API è conforme al GDPR?
Tutte le richieste a Sample Size API passano attraverso il nostro gateway in UE. La tua chiave upstream non lascia mai il nostro server e nessun dato personale viene condiviso con il fornitore upstream oltre alla richiesta inviata.

Scegli un endpoint dall'elenco a sinistra per visualizzarne i dettagli e provarlo.

Frammenti di codice

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curl https://api.oanor.com/samplesize-api/SOME_PATH \
  -H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/samplesize-api/SOME_PATH", {
  headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/samplesize-api/SOME_PATH");
curl_setopt($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/samplesize-api/SOME_PATH",
    headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())

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