diff --git a/lib/node_modules/@stdlib/stats/base/dists/exponential/pdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/exponential/pdf/README.md
index be2685c9940e..cd56be3a1f4c 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/exponential/pdf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/exponential/pdf/README.md
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/exponential/pdf.h"
+```
+
+#### stdlib_base_dists_exponential_pdf( x, lambda )
+
+Evaluates the [probability density function][pdf] (PDF) for an [exponential][exponential-distribution] distribution with rate parameter `lambda`.
+
+```c
+double out = stdlib_base_dists_exponential_pdf( 2.0, 0.7 );
+// returns ~0.173
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] double` input value.
+- **lambda**: `[in] double` rate parameter.
+
+```c
+double stdlib_base_dists_exponential_pdf( const double x, const double lambda );
+```
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+### Examples
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+```c
+#include "stdlib/stats/base/dists/exponential/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 lambda;
+ double x;
+ double y;
+ int i;
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+ for ( i = 0; i < 25; i++ ) {
+ x = random_uniform( 0.0, 100.0 );
+ lambda = random_uniform( 0.0, 100.0 ) + STDLIB_CONSTANT_FLOAT64_EPS;
+ y = stdlib_base_dists_exponential_pdf( x, lambda );
+ printf( "x: %lf, λ: %lf, f(x;λ): %lf\n", x, lambda, y );
+ }
+}
+```
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