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diff --git a/bin/eval-accounting-overhead.py b/bin/eval-accounting-overhead.py
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+++ b/bin/eval-accounting-overhead.py
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+#!/usr/bin/env python3
+"""
+eval-accounting-overhead -- evaluate overhead of various accounting methods and energy/power/timestamp integer sizes
+
+Usage:
+PYTHONPATH=lib bin/eval-accounting-overhead.py <files ...>
+
+Data Generation:
+for accounting in static_state_immediate 'static_state' 'static_statetransition_immediate' 'static_statetransition'; do for intsize in uint16_t uint32_t uint64_t; do PYTHONPATH=~/var/ess/aemr/dfatool/lib ~/var/ess/aemr/dfatool/bin/generate-dfa-benchmark.py --timer-pin=GPIO::p1_0 --sleep=30 --repeat=10 --depth=10 --arch=msp430fr5994lp --app=test_benchmark --trace-filter='setup,setAutoAck,write,getEnergy,$' --timing --dummy= --accounting=${accounting},ts_type=${intsize},power_type=${intsize},energy_type=${intsize} model/driver/nrf24l01.dfa ~/var/projects/multipass/src/app/test_benchmark/main.cc; done; done
+
+Feed the resulting files into this script, output is one line per file
+providing overhead per transition and getEnergy overhead
+
+"""
+
+from dfatool import AnalyticModel, TimingData, pta_trace_to_aggregate
+import json
+import sys
+
+for filename in sys.argv[1:]:
+    with open(filename, 'r') as f:
+        measurement = json.load(f)
+    raw_data = TimingData([filename])
+    preprocessed_data = raw_data.get_preprocessed_data()
+    by_name, parameters, arg_count = pta_trace_to_aggregate(preprocessed_data)
+    model = AnalyticModel(by_name, parameters, arg_count)
+    static_model = model.get_static()
+    if 'setup' in model.names:
+        transition_duration = static_model('setup', 'duration')
+    elif 'init' in model.names:
+        transition_duration = static_model('init', 'duration')
+    get_energy_duration = static_model('getEnergy', 'duration')
+
+    print('{:60s}: {:.0f} / {:.0f} µs'.format(measurement['opt']['accounting'], transition_duration, get_energy_duration))