diff --git a/binding-js/README.md b/binding-js/README.md
index d43d6bf..b16fa3c 100644
--- a/binding-js/README.md
+++ b/binding-js/README.md
@@ -21,4 +21,125 @@ p.then((reply) => console.log("Reply: " + JSON.stringify(reply)))
 p.catch((error) => console.log("Error : " + error))
 ```
 
-After building the library, you can also run the example agent with `node dist/examples/exampleAgent.js`. 
\ No newline at end of file
+After building the library, you can also run the example agent with `node dist/examples/exampleAgent.js`. 
+
+## API Reference
+
+### General Methods
+
+* __constructor(remote)
+* _parseServerErrors(promise)
+* _buildURL(route)
+* _post(route, data)
+* _get(route)
+
+### envCreate(envID)
+
+* **route:** POST `/v1/envs/`
+* **description:** Create an instance of the specified environment
+* **param:** `env_id`
+  * gym environment ID string, such as `'CartPole-v0'`
+* **returns:** `instance_id`
+  * a short identifier (such as `'3c657dbc'`) for the created environment instance. The instance_id is used in future API calls to identify the environment to be manipulated
+
+### envListAll()
+
+* **route:** GET `/v1/envs/`
+* **description:** List all environments running on the server
+* **returns:** `envs`
+  * dict mapping `instance_id` to `env_id` (e.g. `{'3c657dbc': 'CartPole-v0'}`) for every env on the server
+
+### envReset(instanceID)
+
+* **route:** POST `/v1/envs/<instance_id>/reset/`
+* **description:** Reset the state of the environment and return an initial
+  observation.
+* **param:** `instance_id`
+  * a short identifier (such as `'3c657dbc'`) for the environment instance
+* **returns:** `observation` -- the initial observation of the space
+
+### envStep(instanceID, action, render)
+
+* **route:** POST `/v1/envs/<instance_id>/step/`
+* **description:**  Step though an environment using an action.
+* **param:** `instance_id`
+  * a short identifier (such as `'3c657dbc'`)
+  for the environment instance
+* **param:** `action`
+  * an action to take in the environment
+* **returns:** `observation`
+  * agent's observation of the current
+  environment
+* **returns:** `reward`
+  * amount of reward returned after previous action
+* **returns:** `done`
+  * whether the episode has ended
+* **returns:** `info`
+  * a dict containing auxiliary diagnostic information
+
+### envActionSpaceInfo(instanceID)
+
+* **route:** GET `/v1/envs/<instance_id>/action_space/`
+* **description:** Get information (name and dimensions/bounds) of the environments
+  `action_space`
+* **param:** `instance_id`
+  * a short identifier (such as `'3c657dbc'`) for the environment instance
+* **returns:** `info`
+  * a dict containing 'name' (such as 'Discrete'), and additional dimensional info (such as 'n') which varies from space to space
+
+### envObservationSpaceInfo(instanceID)
+
+* **route:** GET `/v1/envs/<instance_id>/observation_space/`
+* **description:** Get information (name and dimensions/bounds) of the environments
+  `observation_space`
+* **param:** `instance_id` 
+  * a short identifier (such as `'3c657dbc'`)
+  for the environment instance
+* **returns:** `info` 
+  * a dict containing 'name' (such as 'Discrete'), and additional dimensional info (such as 'n') which varies from space to space
+
+### envMonitorStart(instanceID, directory, force, resume)
+
+* **route:** POST `/v1/envs/<instance_id>/monitor/start/`
+* **description:** Start monitoring
+* **param:** `instance_id`
+  * a short identifier (such as `'3c657dbc'`) for the environment instance
+* **param:** `force` (default=False)
+  * Clear out existing training data from this directory (by deleting every file prefixed with `"openaigym."`)
+* **param:** `resume` (default=False)
+  * Retain the training data already in this directory, which will be merged with our new data
+
+> NOTE: the `video_callable` parameter from the native
+`env.monitor.start` function is NOT implemented
+
+## envMonitorClose(instanceID)
+
+* **route:** POST `/v1/envs/<instance_id>/monitor/close/`
+* **description:** Flush all monitor data to disk
+* **param:** `instance_id`
+  * a short identifier (such as `'3c657dbc'`) for the environment instance
+
+### envClose(instanceID)
+
+* **route:** POST `/v1/envs/<instance_id>/close/`
+* **description:** Flush all monitor data to disk
+* **param:** `instance_id`
+  * a short identifier (such as `'3c657dbc'`) for the environment instance
+
+### upload(trainingDir, algorithmID, apiKey)
+
+* **route:** POST `/v1/upload/`
+* **description:** Flush all monitor data to disk
+* **param:** `training_dir`
+  * A directory containing th results of a training run.
+* **param:** `api_key`
+  * Your OpenAI API key
+* **param:** `algorithm_id` (default=None)
+  * An arbitrary string indicating the particular version of the algorithm(including choices of parameters) you are running.
+
+### shutdownServer(self)
+
+* **route:** POST `/v1/shutdown/`
+* **description:** Request a server shutdown
+
+> Currently used by the integration tests to repeatedly create and destroy fresh copies of the server running in a separate thread