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Best Solana indexing API for historical transaction data

2 models · updated 2026-08-09

The verdict

Helius leads — All 2 models rank Helius the top pick.

As of 2026-08-09, Claude and Gemini collectively rank Helius #1 for solana indexing api for historical transaction data on ModelsAgree — unanimous among the 2 models that have answered. The models' case: The most complete Solana-native stack for address-level historical transaction data — the Enhanced Transactions API returns human-readable parsed history (types, token. The models' main caveat: Parsing coverage skews to common programs and it is a hosted commercial API — deep custom-program history or self-hosted control means falling back to. The strongest alternative is StreamingFast Substreams — Best option when you need to backfill the entire chain or a large window fast with custom logic — the Firehose/Substreams model streams historical. Source: https://modelsagree.com/best/best-solana-indexing-api-for-historical-transaction-data (modelsagree.com, CC BY 4.0).

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Combined ranking

  1. 1
    Claude #1Gemini #1

    The most complete Solana-native stack for address-level historical transaction data — the Enhanced Transactions API returns human-readable parsed history (types, token transfers, NFT events) instead of raw instruction blobs, backed by archival nodes and paginated address history, so a typical builder gets usable historical tx with minimal decoding work; strong docs and DAS integration reinforce it. Near-tie with Shyft on parsing quality.

    + model takes & fixes

    Claude The most complete Solana-native stack for address-level historical transaction data — the Enhanced Transactions API returns human-readable parsed history (types, token transfers, NFT events) instead of raw instruction blobs, backed by archival nodes and paginated address history, so a typical builder gets usable historical tx with minimal decoding work; strong docs and DAS integration reinforce it. Near-tie with Shyft on parsing quality.

    Gemini Purpose-built for Solana with custom archival infrastructure and specialized APIs like getTransactionsForAddress, delivering unmatched query speeds, parsed human-readable transaction histories, and seamless dApp integration. Near-tied with Subsquid on raw throughput, but takes the top spot for practitioner ease of use. Assumes the practitioner needs rapid, plug-and-play transaction history access without managing pipeline code.

    Where it falls short

    per Claude Parsing coverage skews to common programs and it is a hosted commercial API — deep custom-program history or self-hosted control means falling back to raw RPC or another tool.

    per Gemini Vendor lock-in to proprietary hosted APIs and higher tier-based costs at extreme scale; not for developers needing self-hosted open-source control or multi-chain infrastructure.

  2. 2
    Claude #2Gemini

    Best option when you need to backfill the entire chain or a large window fast with custom logic — the Firehose/Substreams model streams historical blocks in parallel into your own datastore, giving deterministic, high-throughput reindexing that address-by-address REST APIs cannot match.

    + model takes & fixes

    Claude Best option when you need to backfill the entire chain or a large window fast with custom logic — the Firehose/Substreams model streams historical blocks in parallel into your own datastore, giving deterministic, high-throughput reindexing that address-by-address REST APIs cannot match.

    Where it falls short

    per Claude It is infrastructure, not a query endpoint — you write Rust modules and run a sink, so it is overkill for anyone who just wants a few addresses' history.

  3. 3
    Claude Gemini #2

    Modular data lake architecture and TypeScript SDK enable high-performance batch extraction of historical Solana transactions directly into custom databases up to 100x faster than standard RPC backfills. Assumes the practitioner wants full ETL control and schema flexibility over pre-parsed vendor endpoints.

    + model takes & fixes

    Gemini Modular data lake architecture and TypeScript SDK enable high-performance batch extraction of historical Solana transactions directly into custom databases up to 100x faster than standard RPC backfills. Assumes the practitioner wants full ETL control and schema flexibility over pre-parsed vendor endpoints.

    Where it falls short

    per Gemini Requires developer overhead to build, test, and host custom indexer pipelines; not for dApps needing immediate out-of-the-box parsed REST APIs.

  4. 4
    Claude #5Gemini #4

    Operates the foundational "Old Faithful" open archival ledger infrastructure alongside high-throughput Yellowstone Geyser gRPC streams, serving as the industry standard for raw, unthrottled historical transaction data from genesis. Assumes the user is an infrastructure team needing raw block-level ledger feeds.

    + model takes & fixes

    Gemini Operates the foundational "Old Faithful" open archival ledger infrastructure alongside high-throughput Yellowstone Geyser gRPC streams, serving as the industry standard for raw, unthrottled historical transaction data from genesis. Assumes the user is an infrastructure team needing raw block-level ledger feeds.

    Claude The authority for complete, unabridged Solana ledger history — the Old Faithful archive preserves the full chain including old blocks pruned elsewhere, so it is the source of truth when you need every historical transaction, not a parsed subset.

    Where it falls short

    per Claude Low-level archival access, not a convenience API — you get raw ledger data and must build your own parsing/indexing, and full-fidelity access is enterprise-grade.

    per Gemini Delivers raw unparsed binary/protobuf ledger streams requiring heavy downstream decoding logic; not for frontend dApp developers needing simple JSON web APIs.

  5. 5
    Claude #3Gemini

    Strongest for analytical historical work — decoded Solana tables queryable in SQL with a public API, ideal for cohort, DEX-flow, and time-series analysis over full history without running any infra.

    + model takes & fixes

    Claude Strongest for analytical historical work — decoded Solana tables queryable in SQL with a public API, ideal for cohort, DEX-flow, and time-series analysis over full history without running any infra.

    Where it falls short

    per Claude Analyst/aggregate-oriented with query timeouts and rate limits; not built for low-latency, per-transaction lookups inside an app.

  6. 6
    Claude Gemini #3

    Enterprise-grade managed indexing engine offering Mirror pipelines that continuously transform and load historical Solana transactions straight into developer-owned SQL data warehouses (PostgreSQL, ClickHouse) with zero infrastructure management. Assumes the practitioner prioritizes automated syncing to existing analytics infrastructure.

    + model takes & fixes

    Gemini Enterprise-grade managed indexing engine offering Mirror pipelines that continuously transform and load historical Solana transactions straight into developer-owned SQL data warehouses (PostgreSQL, ClickHouse) with zero infrastructure management. Assumes the practitioner prioritizes automated syncing to existing analytics infrastructure.

    Where it falls short

    per Gemini Premium commercial pricing model and reliance on hosted cloud execution; not for budget-constrained projects or teams requiring fully open-source deployment.

  7. 7
    Claude #4Gemini

    Deep, well-structured historical coverage exposed via GraphQL, with pre-decoded DEX trades, transfers, and instruction-level data across Solana's full history and easy cross-chain reuse of the same query model.

    + model takes & fixes

    Claude Deep, well-structured historical coverage exposed via GraphQL, with pre-decoded DEX trades, transfers, and instruction-level data across Solana's full history and easy cross-chain reuse of the same query model.

    Where it falls short

    per Claude GraphQL complexity limits and credit-based pricing bite on large historical scans; schema has a learning curve and some edge programs are under-decoded.

  8. 8
    Claude Gemini #5

    Fast, developer-friendly REST APIs and GraphQL endpoints that automatically decode and summarize historical Solana transactions, token transfers, and program instructions into structured JSON. Assumes the user is building consumer dApps, wallets, or dashboards needing quick integration.

    + model takes & fixes

    Gemini Fast, developer-friendly REST APIs and GraphQL endpoints that automatically decode and summarize historical Solana transactions, token transfers, and program instructions into structured JSON. Assumes the user is building consumer dApps, wallets, or dashboards needing quick integration.

    Where it falls short

    per Gemini Less flexibility for custom complex ETL backfills and higher latency/cost under heavy analytical query workloads compared to dedicated database mirror pipelines.

Just missed the top 5

Claude Flipside Cryptoexcellent free curated Solana SQL tables, but analytics-focused and overlaps Dune's role · Shyftvery good Solana transaction parsing and near-ties Helius, but narrower archival depth and smaller ecosystem

Gemini Bitqueryoffers rich multi-chain GraphQL transaction and DEX analytics, but lower raw Solana backfill throughput and specialized latency miss the top 5 · QuickNode Streamsrobust multi-chain data routing infrastructure, but generic pipeline design requires significantly more manual Solana transaction decoding than specialized native indexers

By model

Claude

  1. 1.Helius
  2. 2.StreamingFast Substreams
  3. 3.Dune
  4. 4.Bitquery
  5. 5.Triton One

Gemini

  1. 1.Helius
  2. 2.Subsquid
  3. 3.Goldsky
  4. 4.Triton One
  5. 5.Shyft

Common questions

What is the best solana indexing api for historical transaction data according to AI models?

Helius leads. All 2 models rank Helius the top pick. The current top 3: Helius, StreamingFast Substreams, Subsquid. Ranked by asking Claude, Gemini the same buying question and merging their top-5 picks, updated 2026-08-09. Source: modelsagree.com.

Which solana indexing api for historical transaction data did each AI model pick first?

Claude: Helius. Gemini: Helius.

How is this solana indexing api for historical transaction data ranking made?

Claude, Gemini are each asked the same buying question in a fresh session with no system steering. Their top-5 answers are merged (rank 1 = 5 pts … rank 5 = 1 pt) into the consensus ranking, re-polled on demand and tracked over time.

More on how polling works: full methodology →

Cite this ranking

ModelsAgree, “Best Solana indexing API for historical transaction data” — merged ranking from ChatGPT, Claude, Gemini & Grok, polled 2026-08-09. https://modelsagree.com/best/best-solana-indexing-api-for-historical-transaction-data (CC BY 4.0)

Tracked by ModelsAgree · rank 1 = 5 pts … rank 5 = 1 pt · re-polled on demand