Your AI doesn't
need to recompute
everything
Accurate tracks what changed across your agent workflow and reuses everything that didn't.
Measure every token. Compute only what changed.
Compatible with +100 LLMs
On top ofOpenRouter
</> PythonBefore
result = await run_research_agent("NVDA")
A
</> PythonAfter
result = await accurate.compute.run( name="company_analysis", inputs={"ticker": "NVDA"}, fn=lambda: run_research_agent("NVDA") )
Your Agent code stays the same
You will just
Measure Tokens
Track Costs
Reuse Compute
AI Compute Overview
16.9 MBaseline Tokens
12.4 MTokens Consumed
24%Compute Avoided
12.4 MTokens Avoided
24%Cost Avoided
Your Bill Has Two Parts
Compute you needCompute you didn't need to repeat
A
Just so you understand where accurate come from
</> PythonWithout Accurate
from accurate import Accurate accurate = Accurate(api_key="acc_...")
</> PythonWith Accurate
from accurate import Accurate accurate = Accurate(api_key="acc_...") result = await accurate.compute( name="company_analysis", inputs={"ticker": "NVDA"}, fn=lambda: run_research_agent("NVDA") )