diff --git a/README.md b/README.md
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+# wavefront_dispatch
+
+This package contains Wavefront python wrapper for Dispatch to send metrics directly to wavefront.
+
+## Requirements
+Python 2.7 or 3.6
+
+## Install
+Install from PyPi
+```
+pip install wavefront_dispatch
+```
+More package [details](https://pypi.org/project/wavefront-dispatch/) on PyPi.
+
+## Required Secrets
+
+* wavefront_sever_url = https://<INSTANCE>.wavefront.com
+* wavefront_auth_token = Wavefront API token with Direct Data Ingestion permission
+
+These secrets must be present in Dispatch functions' secrets of context.
+
+## Usage
+
+Decorate Dispatch handler function with @wavefront_dispatch.wrapper.
+
+```Python
+import wavefront_dispatch
+
+@wavefront_dispatch.wrapper
+def handle(ctx, payload):
+    # codes
+
+```
+And add `wavefront_dispatch` package as runtime dependency druing Dispatch python image creation.
+
+## Standard Metrics reported by Wavefront Dispatch wrapper
+
+Following metrics will be reported by wrapper:
+| Metric Name | Type | Description |
+|---|---|---|
+| dispatch.function.wf.invocations.count | Delta Counter | Count of Dispatch function invocations. |
+| dispatch.function.wf.errors.count | Delta Counter | Count of Dispatch function executions with error. |
+| dispatch.function.wf.duration.value | Gauge | Execution time of Dispatch function in ms. |
+
+
+## Custom Dispatch Function Metrics
+Custom metrics powered by [pyformance plugin](https://github.com/wavefrontHQ/python-client/tree/master/wavefront_pyformance).
+
+Please refer to following [example](https://github.com/dispatchframework/wavefront-dispatch-python/blob/master/example.py):
+
+```Python
+import wavefront_dispatch
+import random
+
+@wavefront_dispatch.wrapper
+def handle(ctx, payload):
+
+    # Customized metrics
+    registry = wavefront_dispatch.get_registry()
+
+    # Report Gauge
+    gauge_val = registry.gauge("dispatch.function.wf.testgauge")
+    gauge_val.set_value(200)
+
+    # Report Counter
+    counter = registry.counter("dispatch.function.wf.testcounter")
+    counter.inc()
+
+    ...
+```
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diff --git a/example.py b/example.py
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+++ b/example.py
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+import wavefront_dispatch
+import random
+
+@wavefront_dispatch.wrapper
+def handle(ctx, payload):
+
+    # Fibonacci
+    f_2, f_1 = 0, 1
+    for n in range(random.randint(800, 900)):
+        f = f_1 + f_2
+        f_2, f_1 = f_1, f
+
+    # Customized metrics
+    registry = wavefront_dispatch.get_registry()
+
+    # Report Gauge
+    gauge_val = registry.gauge("dispatch.function.wf.testgauge")
+    gauge_val.set_value(200)
+
+    # Report Counter
+    counter = registry.counter("dispatch.function.wf.testcounter")
+    counter.inc()
+
+
+
+if __name__ == "__main__":
+    ctx = {
+        "secrets": {
+            "wavefront_server_url":"https://<INSTANCE>.wavefront.com",
+            "wavefront_auth_token":"<AUTH_TOKEN>"}
+        }
+    payload = {}
+    handle(ctx, payload)
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diff --git a/setup.py b/setup.py
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+++ b/setup.py
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+# coding: utf-8
+
+"""
+    Wavefront Dispatch Wrapper
+
+    <p>This is a Wavefront python wrapper for dispatch python function handler to send metrics directly to wavefront.</p>  # noqa: E501
+"""
+
+
+from setuptools import setup, find_packages  # noqa: H301
+
+NAME = "wavefront_dispatch"
+VERSION = "0.0.2"
+# To install the library, run the following
+#
+# python setup.py install
+#
+# prerequisite: setuptools
+# http://pypi.python.org/pypi/setuptools
+
+REQUIRES = ["wavefront-pyformance >= 0.9.2"]
+
+setup(
+    name=NAME,
+    version=VERSION,
+    description="Wavefront Python Wrapper for Dispatch",
+    author_email="",
+    url="https://github.com/dispatchframework/wavefront-dispatch-python/tree/master",
+    keywords=["Wavefront Dispatch", "Wavefront"],
+    install_requires=REQUIRES,
+    packages=find_packages(exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
+    include_package_data=True,
+    long_description="""\
+    This is a Wavefront python wrapper for Dispatch function handler to send metrics directly to wavefront.
+    """
+)
diff --git a/wavefront_dispatch/__init__.py b/wavefront_dispatch/__init__.py
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+++ b/wavefront_dispatch/__init__.py
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+from pyformance import MetricsRegistry
+from wavefront_pyformance.wavefront_reporter import WavefrontDirectReporter
+import os
+from datetime import datetime
+from wavefront_pyformance import delta
+
+reg = None
+
+def wrapper(func):
+    """
+    Returns the Wavefront Dispatch wrapper. The wrapper collects dispatch functions
+    standard metrics and reports it directly to the specified wavefront url. It
+    requires the following Environment variables to be set:
+    1.WAVEFRONT_URL : https://<INSTANCE>.wavefront.com
+    2.WAVEFRONT_API_TOKEN : Wavefront API token with Direct Data Ingestion permission
+    """
+    def call_dispatch_function(wf_reporter, *args, **kwargs):
+
+        METRICS_PREFIX = "dispatch.function.wf."
+        # Register duration metrics
+        dispatch_function_duration_gauge = reg.gauge(METRICS_PREFIX + "duration")
+        # Register invocations metrics
+        dispatch_function_invocations_counter = delta.delta_counter(reg, METRICS_PREFIX + "invocations")
+        dispatch_function_invocations_counter.inc()
+        # Registry errors metrics
+        dispatch_erros_count = delta.delta_counter(reg, METRICS_PREFIX + "errors")
+        time_start = datetime.now()
+        try:
+            response = func(*args, **kwargs)
+            return response
+        except:
+            dispatch_erros_count.inc()
+            raise
+        finally:
+            time_taken = datetime.now() - time_start
+            dispatch_function_duration_gauge.set_value(time_taken.total_seconds() * 1000)
+            wf_reporter.report_now(registry=reg)
+
+    def wavefront_wrapper(*args, **kwargs):
+        print("Func has been decorated.")
+
+        # Initialize registry
+        global reg
+        reg = MetricsRegistry()
+
+        # Get wavefront secrets
+        context, payload = args[0], args[1]
+        server = context["secrets"].get("wavefront_server_url", "")
+        auth_token = context["secrets"].get("wavefront_auth_token", "")
+
+        # Initialize the wavefront direct reporter
+        wf_direct_reporter = WavefrontDirectReporter(server=server,
+                                                     token=auth_token,
+                                                     registry=reg,
+                                                     prefix="")
+
+        call_dispatch_function(wf_direct_reporter,
+                               *args,
+                               **kwargs)
+
+    return wavefront_wrapper
+
+
+def get_registry():
+    return reg
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diff --git a/wavefront_dispatch/tests/__init__.py b/wavefront_dispatch/tests/__init__.py
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index 0000000..e69de29
diff --git a/wavefront_dispatch/tests/test_wavefront_dispatch.py b/wavefront_dispatch/tests/test_wavefront_dispatch.py
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+++ b/wavefront_dispatch/tests/test_wavefront_dispatch.py
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+from unittest import TestCase
+from wavefront_pyformance.wavefront_reporter import WavefrontDirectReporter
+import unittest
+from pyformance import MetricsRegistry
+from wavefront_dispatch import wrapper
+
+@wrapper
+def handler(ctx, payload):
+    return True
+
+class TestWrapper(TestCase):
+    def test_wavefront_wrapper(self):
+        #reg = MetricsRegistry()
+        function_wrapper = wrapper(handler)
+        assert(function_wrapper.__name__ == "wavefront_wrapper")
+
+if __name__ == '__main__':
+    # run 'python -m unittest discover' from toplevel to run tests
+    unittest.main()