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API · /inference-api

Statistical Inference API

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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.

#inference #sample-size #confidence-interval #z-test #statistics #developer-tools
api.oanor.com/inference-api
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/api/inference-api/openapi.json
/api/inference-api/llms.txt

Individuazione: GET /api/index.json elenca ogni API.

API salute

salutare
Tempo di attività
100.00%
Sondaggi del server · 24 ore su 24
Latenza media
93 ms
Sondaggi del server · 24 ore su 24
Abbonati
4,030
attiva
Chiamate totali
32
ultimi 7 giorni
status Pagina di stato completa → · 24 sonde/24h

Prezzi

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Free

Gratis

  • 3,000 chiamate/mese
  • 2 richieste/secondo
  • Tetto rigido (429 sopra la quota, nessuna eccedenza)
  • 24,035 calls/month
  • 2 req/sec
  • Sample size + CI + z-test
  • No credit card
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Starter

€5.00 /mese

  • 40,000 chiamate/mese
  • 5 richieste/secondo
  • Tetto rigido (429 sopra la quota, nessuna eccedenza)
  • 35.35k calls/month
  • 8 req/sec
  • Finite correction, p-values
  • Email support
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Pro

€15.00 /mese

  • 250,000 chiamate/mese
  • 15 richieste/secondo
  • Tetto rigido (429 sopra la quota, nessuna eccedenza)
  • 387.5k calls/month
  • 20 req/sec
  • A/B-test & survey pipelines
  • Priority support
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Mega

€49.00 /mese

  • 1,571,000 chiamate/mese
  • 40 richieste/secondo
  • Tetto rigido (429 sopra la quota, nessuna eccedenza)
  • 1.98M calls/month
  • 50 req/sec
  • Platform scale
  • Dedicated SLA
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Costruito da

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PremiumApi

Correlato APIs

Altro APIs con tag sovrapposti.

Sample Size API

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.

api.oanor.com/samplesize-api

Statistics Calculator API

Descriptive-statistics maths as an API, computed locally and deterministically. The descriptive endpoint summarises a list of numbers — the count, sum, mean, median, mode, minimum, maximum and range, the population and sample variance and standard deviation, and the quartiles Q1/Q2/Q3 with the interquartile range by Tukey's method. The correlation endpoint computes the Pearson correlation coefficient r between two equal-length series — from −1 (perfect inverse) through 0 (none) to +1 (perfect direct) — along with R² and the covariance. The regression endpoint fits a least-squares line y = a + b·x, returning the slope, intercept and R², the equation, and an optional prediction for a given x. Data is accepted as a JSON array or a comma-separated list. Everything is computed locally and deterministically, so it is instant and private. Ideal for data-analysis, dashboard, research and education app developers, reporting and BI tools, and spreadsheet replacements. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is descriptive statistics; for probability distributions and combinatorics use a probability API.

api.oanor.com/statistics-api

Probability API

Probability distributions and combinatorics as an API. The binomial endpoint gives the probability of exactly k successes in n trials (PMF), the cumulative probability up to k (CDF), and the mean, variance and standard deviation. The poisson endpoint does the same for the Poisson distribution from a rate λ. The normal endpoint computes the z-score, probability density, cumulative probability (CDF) and percentile for a value under a normal distribution with any mean and standard deviation — and runs in reverse, turning a probability into the value (the quantile / inverse CDF) and its z-score. The combinatorics endpoint computes combinations (nCr), permutations (nPr) and factorials with exact big-integer arithmetic. Everything is computed locally and deterministically, so it is instant and private. Ideal for data science and statistics, quality control and A/B-test planning, gaming and gambling odds, risk modelling, and statistics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 5 endpoints. This is probability theory; for descriptive statistics on a dataset use a statistics API and for general expression evaluation use a math API.

api.oanor.com/probability-api

Statistics API

Ejecuta estadísticas en una lista de números sin necesidad de una hoja de cálculo o un paquete estadístico. El endpoint describe devuelve un resumen completo de un conjunto de datos: recuento, suma, mínimo, máximo, rango, media, mediana, moda, primer y tercer cuartil y rango intercuartílico, varianza y desviación estándar poblacional y muestral, coeficiente de variación, medias geométrica y armónica, asimetría y curtosis. Obtén cualquier percentil de un conjunto de datos, el coeficiente de correlación de Pearson (y r²) entre dos series de igual longitud, y una regresión lineal simple (pendiente, intersección, r² y la ecuación de la recta). La entrada es un arreglo de números en bruto (JSON o una lista separada por comas) — sin CSV, sin encabezados. Perfecto para análisis, resúmenes de pruebas A/B, datos de sensores y métricas, paneles de control y análisis exploratorio rápido. Cálculo puramente local — sin clave, sin servicio de terceros, instantáneo. En vivo, nada se almacena. 5 endpoints. Distinto del motor de expresiones mathjs y de los resúmenes por columna de CSV.

api.oanor.com/stats-api

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Come ottengo una chiave API per Statistical Inference API?
Registrati gratuitamente su oanor.com, genera una chiave API dalla dashboard sviluppatore e chiama Statistical Inference API con l'header x-oanor-key. Nessuna carta di credito richiesta per il piano gratuito.
Qual è il limite di velocità di Statistical Inference 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 Statistical Inference API?
Statistical Inference API ha un piano gratuito con 100 chiamate / mese. I piani a pagamento partono da €5.00 / 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.
Statistical Inference API è conforme al GDPR?
Tutte le richieste a Statistical Inference 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/inference-api/SOME_PATH \
  -H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/inference-api/SOME_PATH", {
  headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/inference-api/SOME_PATH");
curl_setopt($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/inference-api/SOME_PATH",
    headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())

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