RPC pricing becomes confusing when every provider uses a different accounting unit.

A raw-request plan counts calls directly. A request-unit plan converts calls into RUs. An API-credit plan can apply chain and product multipliers. A compute-unit plan assigns heavier methods more units than lightweight reads.

The correct starting point is a recorded workload, not a provider quota.

Separate standard reads, contract calls, receipts, log queries, archive state, trace methods and streaming recovery. Then add the usage hidden by a clean monthly request total:

• Retries after timeouts and rate limits

• Duplicate transaction polling

• Log-range splitting

• WebSocket reconnects and missed-block backfills

• Failover traffic sent to a second provider

Archive calls deserve their own budget because historical state can require different storage and routing. Log queries deserve their own model because one logical scan may become many RPC requests when the block range must be divided.

Finally, separate monthly consumption from peak capacity. Five million calls spread evenly across a month and five million calls concentrated around a launch do not create the same infrastructure requirement.

Compare the complete monthly economics: included units, overage, throughput, archive access, advanced methods, redundancy and engineering time.

Full TokenToolHub guide:

https://tokentoolhub.com/rpc-pricing-explained/

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