Pearson correlation
API · /stats-api
Statistics API
Run statistics on a list of numbers without a spreadsheet or a stats package. The describe endpoint returns a full summary of a dataset — count, sum, min, max, range, mean, median, mode, the first and third quartiles and interquartile range, population and sample variance and standard deviation, coefficient of variation, geometric and harmonic means, skewness and kurtosis. Get any percentile of a dataset, the Pearson correlation coefficient (and r²) between two equal-length series, and a simple linear regression (slope, intercept, r² and the line equation). Input is a raw array of numbers (JSON or a comma-separated list) — no CSV, no headers. Perfect for analytics, A/B test summaries, sensor and metrics data, dashboards and quick exploratory analysis. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 5 endpoints. Distinct from the mathjs expression engine and from CSV per-column summaries.
API health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 87 ms
- Server probes · 24h
- Subscribers
- 3,025
- active
- Total calls
- 70
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 1,020 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- 1,020 calls/month
- 2 req/sec
- Describe + percentile + correlation + regression
- No credit card
Starter
€2.40 /month
- 8,700 calls / month
- 8 requests / second
- Hard cap (429 above quota, no overage)
- 8.7k calls/month
- 8 req/sec
- Full descriptive summary
- Email support
Pro
€21.60 /month
- 138,000 calls / month
- 20 requests / second
- Hard cap (429 above quota, no overage)
- 138k calls/month
- 20 req/sec
- Analytics / dashboard pipelines
- Priority support
Mega
€57.60 /month
- 710,000 calls / month
- 50 requests / second
- Hard cap (429 above quota, no overage)
- 710k calls/month
- 50 req/sec
- Platform scale
- Dedicated SLA
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Related APIs
Other APIs with overlapping tags.
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
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
Eurostat API
Official European Union statistics as an API, powered by Eurostat — the statistical office of the EU. Eurostat publishes harmonised data across every EU and EFTA country and region: population and demography, GDP and national accounts, employment and unemployment, inflation (HICP), trade, energy, migration, education, health and thousands more datasets. This API wraps Eurostat's JSON-stat dissemination service into clean, decoded rows, and adds friendly named indicators so you don't have to learn dataset codes. /v1/indicator?indicator=population&geo=DE&year=2023 returns a named statistic — population, gdp, gdp_per_capita, unemployment, inflation or employment — for one or more countries (2-letter codes such as DE, FR, IT, or aggregates like EU27_2020 and EA20) and one or more years, with no need to know the underlying dataset or dimension codes. /v1/data?dataset=demo_pjan&geo=DE&sex=T&age=TOTAL&time=2023 gives direct access to any of Eurostat's thousands of datasets by its code, with arbitrary dimension filters passed as query parameters — every dataset has its own dimensions (geo, time, sex, age, unit, na_item, coicop and so on). Both endpoints decode Eurostat's JSON-stat format automatically: single-value dimensions are lifted into a `fixed` context block, and each row carries the dimensions that actually vary (with both a human-readable label and the underlying code) alongside the numeric value, the dataset label and the last-update date. Ideal for economic dashboards, country comparison tools, research, data journalism and policy analysis. Country codes are 2-letter ISO; aggregates include EU27_2020 and EA20. Data © European Union, free to reuse with attribution.
api.oanor.com/eurostat-api
Frequently asked questions
Quick answers about pricing, quotas, and integration.
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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/stats-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/stats-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/stats-api/SOME_PATH");
curl_setopt($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/stats-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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