Three payment paths, side by side
Same agent, same action count, three different ways to pay for gas. The cheapest path is highlighted.
| Path | Cost / action | Daily cost | Monthly cost (30d) | vs native |
|---|
How it works
Native gas cost per action is gas units × gas price (gwei→ETH) × native token price — the raw on-chain fee. Paymaster / gas-abstraction takes that same native cost and adds your entered markup percentage, the fee an ERC-4337-style sponsor charges for fronting gas and letting the agent pay in a stablecoin or get sponsored entirely. Batched multicall groups batch size actions into one transaction so the fixed base tx overhead (21,000 gas by default) is paid once per batch instead of once per action — each action still pays its own execution gas (gas units minus base overhead) in full, only the shared overhead is deduplicated. All three paths scale the same daily-action count out to a 30-day month, and the recommended wallet funding line takes the native-gas monthly cost and adds your safety-buffer percentage, since gas price is not constant and an agent that runs dry simply stops executing.
Reading the numbers
At the defaults — 300 actions/day on Base L2 at 0.15 gwei, a $3,200 native token, 180,000 gas per action — paying gas natively costs about $0.086/action, $25.92/day, roughly $777.60/month. Routing that same volume through a paymaster with a 15% markup pushes it to about $894.24/month, $116.64/month more for the convenience of stablecoin billing and not holding native gas token. Batching five actions per multicall cuts the shared 21,000-gas overhead down to once per five, bringing the monthly bill to about $705.02 — a 9.3% saving over paying natively unbatched — and the saving would be proportionally larger for lighter, transfer-sized actions where the fixed overhead is a bigger share of the total. Switch the chain preset to Ethereum L1 and the same 300 actions/day jumps into the tens of thousands of dollars a month, which is exactly why almost every serious on-chain agent in 2026 runs on an L2.
FAQ
Why does an autonomous on-chain AI agent need a dedicated gas budget calculator? A human trader submits a handful of transactions a day and rarely thinks about the cumulative gas bill. An autonomous agent — a rebalancing bot, a market maker, a DeFi yield router, an on-chain data-fetching agent — can fire dozens to hundreds of transactions every single day, every day of the month, with no human in the loop to notice when the bill creeps up. A single swap that costs $0.02 on an L2 looks negligible in isolation, but at 300 actions a day it is roughly $780/month, and that number changes by an order of magnitude depending on which chain the agent runs on, whether it pays gas natively or through a paymaster, and whether its actions get batched. This calculator turns your agent's actual daily transaction pattern into a real monthly number instead of a per-transaction guess, so whoever funds the agent's wallet knows what they are actually committing to before the agent starts running unattended.
What is the real cost difference between an agent paying gas natively and using a paymaster / gas-abstraction service? Paying gas natively means the agent's wallet holds the chain's native token (ETH, POL, etc.) and burns it directly on every transaction — cheapest in raw terms, but it means whoever operates the agent has to keep that wallet topped up in a volatile asset and the agent needs gas-estimation logic to avoid failed transactions during price spikes. A paymaster or gas-abstraction service (the ERC-4337 account-abstraction pattern) lets the agent pay in a stablecoin or get its gas sponsored entirely, while the paymaster fronts the native-token gas and charges a markup for the convenience — commonly in the 10-25% range on top of raw gas cost. That markup is a real, ongoing cost: at 300 actions/day on an L2 with a 15% markup, it adds roughly $117/month over paying gas natively. The tradeoff is operational simplicity and stablecoin-denominated billing versus a lower raw number — this calculator shows both paths in dollars so that tradeoff is a number, not a guess.
How much can batching an agent's transactions into one multicall actually save? Every individual transaction pays a fixed base overhead (21,000 gas on EVM chains) purely for existing on-chain, on top of whatever gas its actual logic consumes. When an agent bundles several independent actions into a single multicall transaction, that 21,000-gas base overhead is paid once for the whole batch instead of once per action, while each action's own execution gas still gets paid in full. The larger the base-overhead share of a single action's total gas, the more batching saves — for a typical ~180,000-gas DeFi action, batching five actions together saves a little under 10% versus sending them as five separate transactions, because the base overhead is a fairly small slice of a gas-heavy action to begin with. Batching a swarm of much cheaper simple-transfer actions (closer to 21,000 gas each) would save a far larger share, since the shared overhead is then most of the per-action cost. Batching does add coordination complexity — the agent needs a multicall-capable contract and logic to group compatible actions — so the calculator's savings number is the ceiling to weigh against that engineering cost, not a free lunch.
How much should I actually fund an on-chain AI agent's wallet with each month? Take the agent's expected monthly gas cost at its chosen payment path and add a buffer, because gas price is not constant — L2 base fees and L1 gas price both spike during network congestion, and an agent that runs out of native token mid-cycle simply stops executing until someone notices and refills it, which for an unattended agent can mean missed rebalances or stuck positions. This calculator's recommended funding line takes the native-gas monthly cost at your entered inputs and adds your chosen safety-buffer percentage (20% by default, more for agents on congestion-prone L1 or during known high-volatility periods, less for agents on consistently cheap, low-congestion L2s) to give a concrete top-up target rather than an arbitrary round number.