diff --git a/lib/node_modules/@stdlib/stats/base/dists/cauchy/quantile/README.md b/lib/node_modules/@stdlib/stats/base/dists/cauchy/quantile/README.md
index 19a8a76f86e7..5d6433cfc15f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/cauchy/quantile/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/cauchy/quantile/README.md
@@ -145,6 +145,113 @@ logEachMap( 'p: %0.4f, x0: %0.4f γ: %0.4f, Q(p;x0,γ): %0.4f', p, x0, gamma, qu
+
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+* * *
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+
+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/cauchy/quantile.h"
+```
+
+#### stdlib_base_dists_cauchy_quantile( p, x0, gamma )
+
+Evaluates the [quantile function][quantile-function] of a [Cauchy][cauchy-distribution] distribution with location parameter `x0` and scale parameter `gamma`.
+
+```c
+double out = stdlib_base_dists_cauchy_quantile( 0.3, 2.0, 2.0 );
+// returns ~0.547
+```
+
+The function accepts the following arguments:
+
+- **p**: `[in] double` probability.
+- **x0**: `[in] double` location parameter.
+- **gamma**: `[in] double` scale parameter.
+
+```c
+double stdlib_base_dists_cauchy_quantile( const double p, const double x0, const double gamma );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/cauchy/quantile.h"
+#include "stdlib/constants/float64/eps.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double gamma;
+ double x0;
+ double y;
+ double p;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ p = random_uniform( 0.0, 1.0 );
+ x0 = random_uniform( -5.0, 5.0 );
+ gamma = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
+ y = stdlib_base_dists_cauchy_quantile( p, x0, gamma );
+ printf( "p: %lf, x0: %lf, γ: %lf, Q(p;x0,γ): %lf\n", p, x0, gamma, y );
+ }
+}
+```
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