diff --git a/piker/brokers/cli.py b/piker/brokers/cli.py
index b5501633..e9d07dcf 100644
--- a/piker/brokers/cli.py
+++ b/piker/brokers/cli.py
@@ -6,6 +6,7 @@ from importlib import import_module
 
 import click
 import trio
+import pandas as pd
 
 from ..log import get_console_log, colorize_json
 
@@ -30,9 +31,11 @@ def cli():
 @cli.command()
 @click.option('--broker', default='questrade', help='Broker backend to use')
 @click.option('--loglevel', '-l', default='warning', help='Logging level')
+@click.option('--keys', '-k', multiple=True,
+              help='Return results only for these keys')
 @click.argument('meth', nargs=1)
 @click.argument('kwargs', nargs=-1)
-def api(meth, kwargs, loglevel, broker):
+def api(meth, kwargs, loglevel, broker, keys):
     """client for testing broker API methods with pretty printing of output.
     """
     log = get_console_log(loglevel)
@@ -47,7 +50,43 @@ def api(meth, kwargs, loglevel, broker):
             _kwargs[key] = value
 
     data = run(partial(brokermod.api, meth, **_kwargs), loglevel=loglevel)
-    if data:
+
+    if keys:
+        # filter to requested keys
+        filtered = []
+        if meth in data:  # often a list of dicts
+            for item in data[meth]:
+                filtered.append({key: item[key] for key in keys})
+
+        else:  # likely just a dict
+            filtered.append({key: data[key] for key in keys})
+        data = filtered
+
+    click.echo(colorize_json(data))
+
+
+@cli.command()
+@click.option('--broker', default='questrade', help='Broker backend to use')
+@click.option('--loglevel', '-l', default='warning', help='Logging level')
+@click.option('--df-output', '-df', flag_value=True,
+              help='Ouput in `pandas.DataFrame` format')
+@click.argument('tickers', nargs=-1)
+def quote(loglevel, broker, tickers, df_output):
+    """client for testing broker API methods with pretty printing of output.
+    """
+    brokermod = import_module('.' + broker, 'piker.brokers')
+    data = run(partial(brokermod.quote, tickers), loglevel=loglevel)
+    quotes = data['quotes']
+    cols = quotes[0].copy()
+    cols.pop('symbol')
+    if df_output:
+        df = pd.DataFrame(
+            data['quotes'],
+            index=[item['symbol'] for item in quotes],
+            columns=cols,
+        )
+        click.echo(df)
+    else:
         click.echo(colorize_json(data))
 
 
@@ -55,7 +94,7 @@ def api(meth, kwargs, loglevel, broker):
 @click.option('--broker', default='questrade', help='Broker backend to use')
 @click.option('--loglevel', '-l', default='info', help='Logging level')
 @click.argument('tickers', nargs=-1)
-def stream(broker, loglevel, tickers):
+def stream(broker, loglevel, tickers, keys):
     # import broker module daemon entry point
     bm = import_module('.' + broker, 'piker.brokers')
     run(