diff --git a/lib/node_modules/@stdlib/stats/base/dists/binomial/cdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/binomial/cdf/README.md
index 723120099d7d..2148a024ea0f 100644
--- a/lib/node_modules/@stdlib/stats/base/dists/binomial/cdf/README.md
+++ b/lib/node_modules/@stdlib/stats/base/dists/binomial/cdf/README.md
@@ -163,6 +163,114 @@ logEachMap( 'x: %0.4f, n: %0.4f, p: %0.4f, F(x;n,p): %0.4f', x, n, p, cdf );
 
 
 
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+## C APIs
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+### Usage
+
+```c
+#include "stdlib/stats/base/dists/binomial/cdf.h"
+```
+
+#### stdlib_base_dists_binomial_cdf( x, n, p )
+
+Returns the [cumulative distribution function][cdf] for a [binomial][binomial-distribution] distribution with number of trials `n` and success probability `p`.
+
+```c
+double out = stdlib_base_dists_binomial_cdf( 3.0, 20, 0.2 );
+// returns ~0.411
+```
+
+The function accepts the following arguments:
+
+-   **x**: `[in] int32_t` input value.
+-   **n**: `[in] int32_t` number of trials.
+-   **p**: `[in] double` success probability.
+
+```c
+double stdlib_base_dists_binomial_cdf( const int32_t x, const int32_t n, const double p );
+```
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+### Examples
+
+```c
+#include "stdlib/stats/base/dists/binomial/cdf.h"
+#include "stdlib/math/base/special/ceil.h"
+#include 
+#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 ) {
+    int32_t n;
+    double p;
+    int32_t x;
+    double y;
+    int i;
+
+    for ( i = 0; i < 25; i++ ) {
+        n = stdlib_base_ceil( random_uniform( 0.0, 100.0 ) );
+        p = random_uniform( 0.0, 1.0 );
+        x = stdlib_base_ceil( random_uniform( 0.0, 100.0 ) );
+        y = stdlib_base_dists_binomial_cdf( x, n, p );
+        printf( "x: %d, n: %d, p: %lf, F(x;n,p): %lf\n", x, n, p, y );
+    }
+
+    return 0;
+}
+```
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