Agentforce Flex Credit Burn Simulator

Your Agentforce demo works. Now run it 50,000 times. Model what your action architecture actually consumes before it hits production, and see exactly what is driving the bill.

Build one average conversation

Standard actions (20 credits each)

Voice actions (30 credits each)

LLM prompt calls (reasoning + templates)

Count every model call a turn makes: topic classification, each reasoning step, and any Prompt Builder template. A single response is often 2–5 prompt calls, not one.

Prompt model tier

Avg prompt size tokens

Volume & reality

Monthly conversations

Retry rate % of actions re-run

Flex credit price $ / 100k

Estimated monthly burn

0 Flex Credits / month

What is driving the bill?

Same architecture, at other volumes

Numbers looking scary?

The fix is usually the action architecture, not the volume. Genetrix designs Agentforce agents that do the same job for a fraction of the actions. Share your action design and we will validate the consumption assumptions. — genetrix.tech