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RPC Cost Profiler: identify top methods by request count, CU/cost, error rate and p95/p99 latency.
ABM one-pager · data / indexing / risk / compliance workloads
Stop treating archive, logs and backfills as ordinary RPC traffic.
For analytics platforms, wallets, tax/compliance tools, indexers, risk engines, explorers and data-heavy Web3 products.
Target account
Buyer: Head of Data / Indexing lead / CTO / Risk & Compliance product owner
Best fit: production teams where RPC failure, cost opacity, auditability or launch risk can block revenue.
CTA
Run a free Workload Reliability Review: upload/export 7 days of method mix, RPS, error and latency data; GetBlock returns a cost-risk map and migration plan.
Problem
Heavy RPC workloads are not normal app traffic. Archive reads, `eth_getLogs`, traces/debug, websocket subscriptions and historical backfills create opaque CU burn, slow incident debugging, failed jobs and surprise infrastructure cost.
GetBlock solution
GetBlock’s Analytics & Indexing Reliability package turns the workload into a managed reliability plan: method-level traffic review, archive/backfill capacity planning, dedicated or limitless node options, analytics by method/key/region, and a migration path from shared/public RPC.
Why GetBlock
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Logs/Archive/Backfill SLO: define ranges, backfill windows, cache/index alternatives and failure thresholds.
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Dedicated/Limitless options for workloads where abstract units make monthly cost and job completion unpredictable.
Proof basis
- Alchemy, QuickNode, Infura, Chainstack, GetBlock, dRPC and Dwellir all expose different usage-unit models; cost cannot be compared honestly without method mix.
- GetBlock already offers archive data on selected networks, WebSockets, advanced analytics, dedicated nodes and limitless-node positioning; this can be packaged for data-heavy buyers.
Competitive angle
Chainstack/Dwellir/dRPC attack pricing opacity directly. GetBlock should not answer with generic discounts; answer with a buyer-specific workload model and a production setup recommendation.
Discovery questions
- Which methods dominate traffic and cost?
- Are failed backfills or log ranges affecting customer-facing SLAs?
- Do you need archive/debug/trace, websocket stability, or regional latency more than raw chain count?