eth_estimateL1Fee - Estimate L1 data posting fee
Estimate L1 data posting fee on Mantle Network. Essential for understanding transaction costs on the modular L2 rollup.
Estimate L1 data posting fee on the Mantle network. This method helps calculate the additional cost of posting transaction data to Ethereum L1 via EigenDA as part of Mantle's modular L2 architecture.
Overview
Mantle's modular L2 is an optimistic rollup that periodically submits batched transaction data to Ethereum L1 through EigenDA for data availability. While most transaction execution happens on L2 with low gas costs paid in MNT, there's an additional fee component for the L1 data availability costs.
Request Parameters
Transaction object to estimate L1 fee for
Response Body
Estimated L1 fee in wei
Implementation Example
curl -X POST https://api-mantle-mainnet.n.dwellir.com/YOUR_API_KEY \\
-H "Content-Type: application/json" \\
-d '{
"jsonrpc": "2.0",
"method": "eth_estimateL1Fee",
"params": [
{
"from": "0x742d35Cc6634C0532925a3b844Bc9e7595f0bEb5",
"to": "0x833589fcd6edb6e08f4c7c32d4f71b54bda02913",
"gas": "0x5208",
"gasPrice": "0x3b9aca00",
"value": "0x1bc16d674ec80000",
"data": "0x"
}
],
"id": 1
}'Understanding L1 Fees on Mantle
Fee Components
- L2 Execution Fee: Standard gas cost for transaction execution on Mantle (paid in MNT)
- L1 Data Fee: Cost of posting transaction data to Ethereum L1 via EigenDA for data availability
Data Size Impact
L1 fees scale with transaction data size:
- Simple transfers: Minimal L1 fee
- Contract interactions: Moderate L1 fee based on calldata
- Large data payloads: Significant L1 fee component
Cost Optimization Strategies
- Minimize Data: Reduce unnecessary data in transactions
- Batch Operations: Combine multiple operations into single transaction
- Use Events: Emit events instead of storing large data on-chain
- Optimize Encoding: Use efficient data encoding methods
- Leverage EigenDA: Benefit from efficient data availability
Common Use Cases
1. Transaction Cost Planning
// Plan transaction costs before execution
async function planTransactionCosts(transactions) {
const feeEstimator = new MantleFeeEstimator(rpcUrl);
const plans = [];
for (const tx of transactions) {
const breakdown = await feeEstimator.getFullFeeBreakdown(tx);
plans.push({
transaction: tx,
estimatedCost: breakdown.totalEstimatedCost,
l1FeeRatio: breakdown.breakdown.l1FeePercentage,
recommendation: breakdown.breakdown.l1FeePercentage > 70 ?
'Consider batching or data optimization' : 'Cost efficient'
});
}
return plans.sort((a, b) => a.estimatedCost - b.estimatedCost);
}2. Data Optimization Analysis
def optimize_contract_call_data(base_transaction, data_variations):
"""Find most cost-effective data encoding"""
fee_estimator = MantleFeeEstimator(rpc_url)
results = []
for name, data in data_variations.items():
tx = {**base_transaction, 'data': data}
breakdown = fee_estimator.get_full_fee_breakdown(tx)
results.append({
'encoding': name,
'data_size': len(data) // 2 - 1, # Hex bytes
'total_cost': breakdown['total_estimated_cost'],
'l1_fee': breakdown['l1_fee'],
'efficiency': breakdown['l1_fee'] / (len(data) // 2 - 1)
})
# Sort by total cost
return sorted(results, key=lambda x: x['total_cost'])Related Methods
eth_estimateGas- Estimate L2 execution gaseth_gasPrice- Get current L2 gas priceeth_feeHistory- Historical fee data
Need help? Contact our support team or check the Mantle documentation.
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