databutler-stats
Server Details
Exact statistics & probability: distributions, hypothesis tests, CIs, Bayesian updates, regression.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Tool Definition Quality
Score is being calculated. Check back soon.
Available Tools
6 toolsbayes_updateInspect
Discrete Bayesian update: given competing hypotheses each with a prior and the likelihood of the observed evidence, return normalised posteriors. Priors are renormalised to sum to 1.
| Name | Required | Description | Default |
|---|---|---|---|
| hypotheses | Yes |
confidence_intervalInspect
Confidence interval for a mean (t-based; from data, or n/mean/sd) or a proportion (Wilson; successes/n). kind = mean | proportion; confidence default 0.95.
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | ||
| sd | No | ||
| data | No | ||
| kind | No | ||
| mean | No | ||
| successes | No | ||
| confidence | No |
descriptive_statsInspect
Summary statistics for a numeric array: mean, median, sd, variance, quartiles, IQR, skewness, min/max.
| Name | Required | Description | Default |
|---|---|---|---|
| data | Yes |
distributionInspect
Evaluate a probability distribution (normal, t, chi2, binomial, poisson): pdf/pmf and cdf at a value, and/or the quantile at a probability, plus mean & variance. Params per dist: normal {mean,sd}, t {df}, chi2 {df}, binomial {n,p}, poisson {lambda}.
| Name | Required | Description | Default |
|---|---|---|---|
| p | No | probability to get the quantile for (0-1) | |
| at | No | value to evaluate pdf/pmf and cdf at | |
| dist | Yes | ||
| params | No |
hypothesis_testInspect
Run a significance test and get the statistic, p-value, and a plain-language interpretation with assumptions. test = one-sample-t {data, mu0}, two-sample-t {data1, data2}, one-proportion-z {successes, n, p0}, two-proportion-z {successes1,n1,successes2,n2}, chi2-gof {observed, expected?}, chi2-independence {table}. Optional tail: two-sided (default) | greater | less; alpha default 0.05.
| Name | Required | Description | Default |
|---|---|---|---|
| n | No | ||
| n1 | No | ||
| n2 | No | ||
| p0 | No | ||
| mu0 | No | ||
| data | No | ||
| tail | No | ||
| test | Yes | ||
| alpha | No | ||
| data1 | No | ||
| data2 | No | ||
| table | No | ||
| expected | No | ||
| observed | No | ||
| successes | No | ||
| successes1 | No | ||
| successes2 | No |
linear_regressionInspect
Simple linear regression of y on x: slope, intercept, r, r², slope std error and p-value, equation.
| Name | Required | Description | Default |
|---|---|---|---|
| x | Yes | ||
| y | Yes |
Frequently Asked Questions
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/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
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{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
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