diff --git a/R/class-forecast-binary.R b/R/class-forecast-binary.R
index bf4d0b835..190ab5e25 100644
--- a/R/class-forecast-binary.R
+++ b/R/class-forecast-binary.R
@@ -36,6 +36,7 @@ as_forecast_binary <- function(data, ...) {
 }
 
 #' @rdname as_forecast_binary
+#' @inheritParams assert_forecast
 #' @export
 #' @method as_forecast_binary default
 #' @importFrom cli cli_warn
@@ -43,6 +44,7 @@ as_forecast_binary.default <- function(data,
                                        forecast_unit = NULL,
                                        observed = NULL,
                                        predicted = NULL,
+                                       verbose = TRUE,
                                        ...) {
   data <- as_forecast_generic(
     data,
@@ -51,7 +53,7 @@ as_forecast_binary.default <- function(data,
     predicted = predicted
   )
   data <- new_forecast(data, "forecast_binary")
-  assert_forecast(data)
+  assert_forecast(data, verbose = verbose)
   return(data)
 }
 
diff --git a/R/class-forecast-multivariate-sample.R b/R/class-forecast-multivariate-sample.R
index d445e27e0..ea64d573b 100644
--- a/R/class-forecast-multivariate-sample.R
+++ b/R/class-forecast-multivariate-sample.R
@@ -53,6 +53,7 @@ as_forecast_multivariate_sample <- function(data, ...) {
 #'   For example, if you have a column `country` and want to define
 #'   a multivariate forecast for several countries at once, you could set
 #'   `joint_across = "country"`.
+#' @inheritParams assert_forecast
 #' @export
 #' @importFrom cli cli_warn
 as_forecast_multivariate_sample.default <- function(data,
@@ -61,6 +62,7 @@ as_forecast_multivariate_sample.default <- function(data,
                                                     observed = NULL,
                                                     predicted = NULL,
                                                     sample_id = NULL,
+                                                    verbose = TRUE,
                                                     ...) {
   data <- as_forecast_generic(
     data,
@@ -72,7 +74,7 @@ as_forecast_multivariate_sample.default <- function(data,
   data <- set_grouping(data, joint_across)
 
   data <- new_forecast(data, "forecast_sample_multivariate")
-  assert_forecast(data)
+  assert_forecast(data, verbose = verbose)
   return(data)
 }
 
diff --git a/R/class-forecast-nominal.R b/R/class-forecast-nominal.R
index 217b25559..a064c4316 100644
--- a/R/class-forecast-nominal.R
+++ b/R/class-forecast-nominal.R
@@ -47,6 +47,7 @@ as_forecast_nominal <- function(data, ...) {
 #' @param predicted_label (optional) Name of the column in `data` that denotes
 #'   the outcome to which a predicted probability corresponds to.
 #'   This column will be renamed to "predicted_label".
+#' @inheritParams assert_forecast
 #' @export
 #' @method as_forecast_nominal default
 #' @importFrom cli cli_warn
@@ -55,6 +56,7 @@ as_forecast_nominal.default <- function(data,
                                         observed = NULL,
                                         predicted = NULL,
                                         predicted_label = NULL,
+                                        verbose = TRUE,
                                         ...) {
   data <- as_forecast_generic(
     data,
@@ -64,7 +66,7 @@ as_forecast_nominal.default <- function(data,
     predicted_label = predicted_label
   )
   data <- new_forecast(data, "forecast_nominal")
-  assert_forecast(data)
+  assert_forecast(data, verbose = verbose)
   return(data)
 }
 
diff --git a/R/class-forecast-ordinal.R b/R/class-forecast-ordinal.R
index 4a2c86b28..8dc2c76f1 100644
--- a/R/class-forecast-ordinal.R
+++ b/R/class-forecast-ordinal.R
@@ -47,6 +47,7 @@ as_forecast_ordinal <- function(data, ...) {
 #' @param predicted_label (optional) Name of the column in `data` that denotes
 #'   the outcome to which a predicted probability corresponds to.
 #'   This column will be renamed to "predicted_label".
+#' @inheritParams assert_forecast
 #' @export
 #' @method as_forecast_ordinal default
 #' @importFrom cli cli_warn
@@ -55,6 +56,7 @@ as_forecast_ordinal.default <- function(data,
                                         observed = NULL,
                                         predicted = NULL,
                                         predicted_label = NULL,
+                                        verbose = TRUE,
                                         ...) {
   data <- as_forecast_generic(
     data,
@@ -64,7 +66,7 @@ as_forecast_ordinal.default <- function(data,
     predicted_label = predicted_label
   )
   data <- new_forecast(data, "forecast_ordinal")
-  assert_forecast(data)
+  assert_forecast(data, verbose = verbose)
   return(data)
 }
 
diff --git a/R/class-forecast-point.R b/R/class-forecast-point.R
index 8635b25b9..571b498aa 100644
--- a/R/class-forecast-point.R
+++ b/R/class-forecast-point.R
@@ -24,6 +24,7 @@ as_forecast_point <- function(data, ...) {
 
 
 #' @rdname as_forecast_point
+#' @inheritParams assert_forecast
 #' @export
 #' @method as_forecast_point default
 #' @importFrom cli cli_warn
@@ -31,6 +32,7 @@ as_forecast_point.default <- function(data,
                                       forecast_unit = NULL,
                                       observed = NULL,
                                       predicted = NULL,
+                                      verbose = TRUE,
                                       ...) {
   data <- as_forecast_generic(
     data,
@@ -39,7 +41,7 @@ as_forecast_point.default <- function(data,
     predicted = predicted
   )
   data <- new_forecast(data, "forecast_point")
-  assert_forecast(data)
+  assert_forecast(data, verbose = verbose)
   return(data)
 }
 
diff --git a/R/class-forecast-quantile.R b/R/class-forecast-quantile.R
index 6d6c1bd3d..36a66b713 100644
--- a/R/class-forecast-quantile.R
+++ b/R/class-forecast-quantile.R
@@ -39,6 +39,7 @@ as_forecast_quantile <- function(data, ...) {
 #' @param quantile_level (optional) Name of the column in `data` that contains
 #'   the quantile level of the predicted values. This column will be renamed to
 #'   "quantile_level". Only applicable to quantile-based forecasts.
+#' @inheritParams assert_forecast
 #' @export
 #' @method as_forecast_quantile default
 #' @importFrom cli cli_warn
@@ -47,6 +48,7 @@ as_forecast_quantile.default <- function(data,
                                          observed = NULL,
                                          predicted = NULL,
                                          quantile_level = NULL,
+                                         verbose = TRUE,
                                          ...) {
   data <- as_forecast_generic(
     data,
@@ -58,19 +60,21 @@ as_forecast_quantile.default <- function(data,
   unique_q_levels <- sort(unique(data$quantile_level))
   level_diffs <- diff(unique_q_levels)
   if (any(level_diffs <= 1e-10)) {
-    cli_warn(
-      "The {.code quantile_level} column in your data
-      seems to have a rounding issue
-      (run {.code diff(sort(unique(data$quantile_level)))} to see this.
-      As {.code scoringutils} does not support arbitrarily fine quantile level
-      increments, we're going to run {.code round(x, digits = 10)} on
-      the {.code quantile_level} column."
-    )
+    if (verbose) {
+      cli_warn(
+        "The {.code quantile_level} column in your data
+        seems to have a rounding issue
+        (run {.code diff(sort(unique(data$quantile_level)))} to see this.
+        As {.code scoringutils} does not support arbitrarily fine quantile level
+        increments, we're going to run {.code round(x, digits = 10)} on
+        the {.code quantile_level} column."
+      )
+    }
     data$quantile_level <- round(data$quantile_level, digits = 9)
   }
 
   data <- new_forecast(data, "forecast_quantile")
-  assert_forecast(data)
+  assert_forecast(data, verbose = verbose)
   return(data)
 }
 
diff --git a/R/class-forecast-sample.R b/R/class-forecast-sample.R
index 5bf50d865..323ebbf3e 100644
--- a/R/class-forecast-sample.R
+++ b/R/class-forecast-sample.R
@@ -31,6 +31,7 @@ as_forecast_sample <- function(data, ...) {
 #' @rdname as_forecast_sample
 #' @param sample_id (optional) Name of the column in `data` that contains the
 #'   sample id. This column will be renamed to "sample_id".
+#' @inheritParams assert_forecast
 #' @export
 #' @importFrom cli cli_warn
 as_forecast_sample.default <- function(data,
@@ -38,6 +39,7 @@ as_forecast_sample.default <- function(data,
                                        observed = NULL,
                                        predicted = NULL,
                                        sample_id = NULL,
+                                       verbose = TRUE,
                                        ...) {
   data <- as_forecast_generic(
     data,
@@ -47,7 +49,7 @@ as_forecast_sample.default <- function(data,
     sample_id = sample_id
   )
   data <- new_forecast(data, "forecast_sample")
-  assert_forecast(data)
+  assert_forecast(data, verbose = verbose)
   return(data)
 }
 
diff --git a/man/as_forecast_binary.Rd b/man/as_forecast_binary.Rd
index 4938c514d..38f597e8a 100644
--- a/man/as_forecast_binary.Rd
+++ b/man/as_forecast_binary.Rd
@@ -12,6 +12,7 @@ as_forecast_binary(data, ...)
   forecast_unit = NULL,
   observed = NULL,
   predicted = NULL,
+  verbose = TRUE,
   ...
 )
 }
@@ -34,6 +35,9 @@ observed values. This column will be renamed to "observed".}
 
 \item{predicted}{(optional) Name of the column in \code{data} that contains the
 predicted values. This column will be renamed to "predicted".}
+
+\item{verbose}{Logical. If \code{FALSE} (default is \code{TRUE}), no messages and
+warnings will be created.}
 }
 \value{
 A \code{forecast} object of class \code{forecast_binary}
diff --git a/man/as_forecast_multivariate_sample.Rd b/man/as_forecast_multivariate_sample.Rd
index 04e8cf690..cb2008e39 100644
--- a/man/as_forecast_multivariate_sample.Rd
+++ b/man/as_forecast_multivariate_sample.Rd
@@ -14,6 +14,7 @@ as_forecast_multivariate_sample(data, ...)
   observed = NULL,
   predicted = NULL,
   sample_id = NULL,
+  verbose = TRUE,
   ...
 )
 }
@@ -50,6 +51,9 @@ predicted values. This column will be renamed to "predicted".}
 
 \item{sample_id}{(optional) Name of the column in \code{data} that contains the
 sample id. This column will be renamed to "sample_id".}
+
+\item{verbose}{Logical. If \code{FALSE} (default is \code{TRUE}), no messages and
+warnings will be created.}
 }
 \value{
 A \code{forecast} object of class \code{forecast_sample}
diff --git a/man/as_forecast_nominal.Rd b/man/as_forecast_nominal.Rd
index 1af22c78a..2cd64d3e7 100644
--- a/man/as_forecast_nominal.Rd
+++ b/man/as_forecast_nominal.Rd
@@ -13,6 +13,7 @@ as_forecast_nominal(data, ...)
   observed = NULL,
   predicted = NULL,
   predicted_label = NULL,
+  verbose = TRUE,
   ...
 )
 }
@@ -39,6 +40,9 @@ predicted values. This column will be renamed to "predicted".}
 \item{predicted_label}{(optional) Name of the column in \code{data} that denotes
 the outcome to which a predicted probability corresponds to.
 This column will be renamed to "predicted_label".}
+
+\item{verbose}{Logical. If \code{FALSE} (default is \code{TRUE}), no messages and
+warnings will be created.}
 }
 \value{
 A \code{forecast} object of class \code{forecast_nominal}
diff --git a/man/as_forecast_ordinal.Rd b/man/as_forecast_ordinal.Rd
index e6748c011..ed909d8b6 100644
--- a/man/as_forecast_ordinal.Rd
+++ b/man/as_forecast_ordinal.Rd
@@ -13,6 +13,7 @@ as_forecast_ordinal(data, ...)
   observed = NULL,
   predicted = NULL,
   predicted_label = NULL,
+  verbose = TRUE,
   ...
 )
 }
@@ -39,6 +40,9 @@ predicted values. This column will be renamed to "predicted".}
 \item{predicted_label}{(optional) Name of the column in \code{data} that denotes
 the outcome to which a predicted probability corresponds to.
 This column will be renamed to "predicted_label".}
+
+\item{verbose}{Logical. If \code{FALSE} (default is \code{TRUE}), no messages and
+warnings will be created.}
 }
 \value{
 A \code{forecast} object of class \code{forecast_ordinal}
diff --git a/man/as_forecast_point.Rd b/man/as_forecast_point.Rd
index 83ba83187..8e895ee73 100644
--- a/man/as_forecast_point.Rd
+++ b/man/as_forecast_point.Rd
@@ -14,6 +14,7 @@ as_forecast_point(data, ...)
   forecast_unit = NULL,
   observed = NULL,
   predicted = NULL,
+  verbose = TRUE,
   ...
 )
 
@@ -38,6 +39,9 @@ observed values. This column will be renamed to "observed".}
 
 \item{predicted}{(optional) Name of the column in \code{data} that contains the
 predicted values. This column will be renamed to "predicted".}
+
+\item{verbose}{Logical. If \code{FALSE} (default is \code{TRUE}), no messages and
+warnings will be created.}
 }
 \value{
 A \code{forecast} object of class \code{forecast_point}
diff --git a/man/as_forecast_quantile.Rd b/man/as_forecast_quantile.Rd
index 4cf407d0e..9704c5e03 100644
--- a/man/as_forecast_quantile.Rd
+++ b/man/as_forecast_quantile.Rd
@@ -15,6 +15,7 @@ as_forecast_quantile(data, ...)
   observed = NULL,
   predicted = NULL,
   quantile_level = NULL,
+  verbose = TRUE,
   ...
 )
 
@@ -49,6 +50,9 @@ predicted values. This column will be renamed to "predicted".}
 the quantile level of the predicted values. This column will be renamed to
 "quantile_level". Only applicable to quantile-based forecasts.}
 
+\item{verbose}{Logical. If \code{FALSE} (default is \code{TRUE}), no messages and
+warnings will be created.}
+
 \item{probs}{A numeric vector of quantile levels for which
 quantiles will be computed. Corresponds to the \code{probs} argument in
 \code{\link[=quantile]{quantile()}}.}
diff --git a/man/as_forecast_sample.Rd b/man/as_forecast_sample.Rd
index bf179530c..3d38b7517 100644
--- a/man/as_forecast_sample.Rd
+++ b/man/as_forecast_sample.Rd
@@ -13,6 +13,7 @@ as_forecast_sample(data, ...)
   observed = NULL,
   predicted = NULL,
   sample_id = NULL,
+  verbose = TRUE,
   ...
 )
 }
@@ -38,6 +39,9 @@ predicted values. This column will be renamed to "predicted".}
 
 \item{sample_id}{(optional) Name of the column in \code{data} that contains the
 sample id. This column will be renamed to "sample_id".}
+
+\item{verbose}{Logical. If \code{FALSE} (default is \code{TRUE}), no messages and
+warnings will be created.}
 }
 \value{
 A \code{forecast} object of class \code{forecast_sample}
diff --git a/tests/testthat/test-class-forecast-binary.R b/tests/testthat/test-class-forecast-binary.R
index cb95e1d23..ff4b31083 100644
--- a/tests/testthat/test-class-forecast-binary.R
+++ b/tests/testthat/test-class-forecast-binary.R
@@ -7,6 +7,14 @@ test_that("output of as_forecast_binary() is accepted as input to score()", {
   expect_identical(score_check, suppressMessages(score(as_forecast_binary(example_binary))))
 })
 
+test_that("as_forecast_binary() accepts verbose argument and suppresses messages", {
+  expect_no_condition(
+    as_forecast_binary(example_binary, verbose = FALSE)
+  )
+  result <- as_forecast_binary(example_binary, verbose = FALSE)
+  expect_s3_class(result, "forecast_binary")
+})
+
 
 # ==============================================================================
 # is_forecast_binary() # nolint: commented_code_linter
diff --git a/tests/testthat/test-class-forecast-nominal.R b/tests/testthat/test-class-forecast-nominal.R
index c73259e57..b898cdd7b 100644
--- a/tests/testthat/test-class-forecast-nominal.R
+++ b/tests/testthat/test-class-forecast-nominal.R
@@ -30,6 +30,14 @@ test_that("as_forecast.forecast_nominal() breaks when rows with zero probability
   )
 })
 
+test_that("as_forecast_nominal() accepts verbose argument", {
+  expect_no_condition(
+    as_forecast_nominal(na.omit(example_nominal), verbose = FALSE)
+  )
+  result <- as_forecast_nominal(na.omit(example_nominal), verbose = FALSE)
+  expect_s3_class(result, "forecast_nominal")
+})
+
 
 # ==============================================================================
 # is_forecast_nominal() # nolint: commented_code_linter
diff --git a/tests/testthat/test-class-forecast-point.R b/tests/testthat/test-class-forecast-point.R
index fb2fd161d..a89aaf901 100644
--- a/tests/testthat/test-class-forecast-point.R
+++ b/tests/testthat/test-class-forecast-point.R
@@ -8,6 +8,14 @@ test_that("as_forecast_point() works", {
   )
 })
 
+test_that("as_forecast_point() accepts verbose argument and suppresses messages", {
+  expect_no_condition(
+    as_forecast_point(example_point, verbose = FALSE)
+  )
+  result <- as_forecast_point(example_point, verbose = FALSE)
+  expect_s3_class(result, "forecast_point")
+})
+
 
 # ==============================================================================
 # is_forecast_point() # nolint: commented_code_linter
diff --git a/tests/testthat/test-class-forecast-quantile.R b/tests/testthat/test-class-forecast-quantile.R
index 4f46a5ed3..374916e99 100644
--- a/tests/testthat/test-class-forecast-quantile.R
+++ b/tests/testthat/test-class-forecast-quantile.R
@@ -196,6 +196,48 @@ test_that("as_forecast_quantile handles rounding issues correctly", {
   )
 })
 
+test_that("as_forecast_quantile() accepts verbose argument and suppresses messages", {
+  expect_no_condition(
+    as_forecast_quantile(example_quantile, verbose = FALSE)
+  )
+  result <- as_forecast_quantile(example_quantile, verbose = FALSE)
+  expect_s3_class(result, "forecast_quantile")
+})
+
+test_that("as_forecast_quantile() with verbose = TRUE emits messages by default", {
+  expect_message(
+    as_forecast_quantile(example_quantile),
+    "Some rows containing NA"
+  )
+})
+
+test_that("as_forecast_quantile() verbose = FALSE suppresses quantile rounding warning", {
+  quantile_data <- data.table(
+    quantile_level = c(0.25, 0.75 + 1e-13, 0.25, 0.75),
+    predicted = c(1, 2, 3, 4),
+    observed = c(5, 5, 5, 5),
+    location = c(1, 1, 2, 2)
+  )
+  expect_no_condition(
+    as_forecast_quantile(quantile_data, verbose = FALSE)
+  )
+})
+
+test_that("as_forecast_quantile() verbose = FALSE does not affect error behavior", {
+  invalid_data <- data.table(observed = 1:5, predicted = 1:5)
+  expect_error(
+    as_forecast_quantile(invalid_data, verbose = FALSE),
+    "Column 'quantile_level' not found"
+  )
+})
+
+test_that("as_forecast_quantile() verbose = FALSE suppresses different-number-of-quantiles warning", {
+  data <- na.omit(as.data.table(example_quantile))[-1000, ]
+  expect_no_condition(
+    as_forecast_quantile(data, verbose = FALSE)
+  )
+})
+
 
 
 
diff --git a/tests/testthat/test-class-forecast-sample.R b/tests/testthat/test-class-forecast-sample.R
index 995e49106..ee82cbf27 100644
--- a/tests/testthat/test-class-forecast-sample.R
+++ b/tests/testthat/test-class-forecast-sample.R
@@ -28,6 +28,15 @@ test_that("Running `as_forecast_sample()` twice returns the same object", {
   )
 })
 
+test_that("as_forecast_sample() accepts verbose argument and suppresses messages", {
+  data <- data.table::copy(example_sample_continuous)
+  expect_no_condition(
+    as_forecast_sample(data, verbose = FALSE)
+  )
+  result <- as_forecast_sample(data, verbose = FALSE)
+  expect_s3_class(result, "forecast_sample")
+})
+
 
 # ==============================================================================
 # is_forecast_sample() # nolint: commented_code_linter