diff --git a/lib/node_modules/@stdlib/stats/base/dists/beta/pdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/beta/pdf/README.md
index 4c65b8242228..af69ca7999e6 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/beta/pdf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/beta/pdf/README.md
@@ -159,6 +159,106 @@ for ( i = 0; i < 10; i++ ) {
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+* * *
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/beta/pdf.h"
+```
+
+#### stdlib_base_dists_beta_pdf( x, alpha, beta )
+
+Evaluates the probability density function (PDF) for a beta distribution with first shape parameter `alpha` and second shape parameter `beta`.
+
+```c
+double y = stdlib_base_dists_beta_pdf( 0.5, 1.0, 1.0 );
+// returns 1.0
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] double` input value.
+- **alpha**: `[in] double` first shape parameter.
+- **beta**: `[in] double` second shape parameter.
+
+```c
+double stdlib_base_dists_beta_pdf( const double x, double alpha, const double beta );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/beta/pdf.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 alpha;
+ double beta;
+ double x;
+ double y;
+ int i;
+
+ for ( i = 0; i < 10; i++ ) {
+ x = random_uniform( 0.0, 1.0 );
+ alpha = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+ beta = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 5.0 );
+ y = stdlib_base_dists_beta_pdf( x, alpha, beta );
+ printf( "x: %1f. α: %1f. β: %1f. f(x;α,β): %lf\n", x, alpha, beta, y );
+ }
+}
+```
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