diff --git a/geomagio/algorithm/Algorithm.py b/geomagio/algorithm/Algorithm.py
index 038f5f3fd8edad6ed87684e50aa8696b3dfeb116..2c485ac9385b633c37c80410c9e69be8ad2274f6 100644
--- a/geomagio/algorithm/Algorithm.py
+++ b/geomagio/algorithm/Algorithm.py
@@ -88,7 +88,9 @@ class Algorithm(object):
         return (start, end)
 
     def can_produce_data(self, starttime, endtime, stream):
-        """Can Product data
+        """Can Produce data
+
+        By default require all channels to have data at the same time.
 
         Parameters
         ----------
@@ -99,17 +101,11 @@ class Algorithm(object):
         stream: obspy.core.Stream
             The input stream we want to make certain has data for the algorithm
         """
-        input_gaps = TimeseriesUtility.get_merged_gaps(
-                TimeseriesUtility.get_stream_gaps(
-                    stream=stream,
-                    channels=self.get_required_channels()))
-        for input_gap in input_gaps:
-            # Check for gaps that include the entire range
-            if (starttime >= input_gap[0] and
-                    starttime <= input_gap[1] and
-                    endtime < input_gap[2]):
-                return False
-        return True
+        return TimeseriesUtility.has_all_channels(
+                stream,
+                self.get_required_channels(),
+                starttime,
+                endtime)
 
     def get_next_starttime(self):
         """Check whether algorithm has a stateful start time.
diff --git a/geomagio/algorithm/FilterAlgorithm.py b/geomagio/algorithm/FilterAlgorithm.py
index 9f119e3c8f4114ac568191beca744d11961e451b..dd7e4147e2889a14074439361d014ccd37f4362b 100644
--- a/geomagio/algorithm/FilterAlgorithm.py
+++ b/geomagio/algorithm/FilterAlgorithm.py
@@ -5,8 +5,7 @@ import scipy.signal as sps
 from numpy.lib import stride_tricks as npls
 from obspy.core import Stream, Stats
 import json
-from ..TimeseriesUtility import get_delta_from_interval
-
+from .. import TimeseriesUtility
 
 STEPS = [
     {  # 10 Hz to one second filter
@@ -101,6 +100,26 @@ class FilterAlgorithm(Algorithm):
                     steps.append(step)
         return steps
 
+    def can_produce_data(self, starttime, endtime, stream):
+        """Can Produce data
+
+        The FilterAlgorithm can produce data for each channel independently.
+
+        Parameters
+        ----------
+        starttime: UTCDateTime
+            start time of requested output
+        end : UTCDateTime
+            end time of requested output
+        stream: obspy.core.Stream
+            The input stream we want to make certain has data for the algorithm
+        """
+        return TimeseriesUtility.has_any_channels(
+                stream,
+                self.get_required_channels(),
+                starttime,
+                endtime)
+
     def create_trace(self, channel, stats, data):
         """Utility to create a new trace object.
         This may be necessary for more sophisticated metadata
@@ -282,8 +301,8 @@ class FilterAlgorithm(Algorithm):
         Algorithm.configure(self, arguments)
         # intialize filter with command line arguments
         self.coeff_filename = arguments.filter_coefficients
-        input_interval = arguments.input_interval
-        output_interval = arguments.output_interval
-        self.input_sample_period = get_delta_from_interval(input_interval)
-        self.output_sample_period = get_delta_from_interval(output_interval)
+        self.input_sample_period = TimeseriesUtility.get_delta_from_interval(
+                arguments.input_interval or arguments.interval)
+        self.output_sample_period = TimeseriesUtility.get_delta_from_interval(
+                arguments.output_interval or arguments.interval)
         self.load_state()