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Bitquery vs Birdeye: Full Chain Coverage vs Token Market Data


Compare Bitquery and Birdeye across chain coverage, query model, streaming transports, raw on-chain data, warehouse delivery and pricing.

Bitquery vs Birdeye: Full Chain Coverage vs Token Market Data

Bitquery decodes 40+ chains into one schema — trades and prices alongside transfers, contract traces, mempool and MEV.

How Bitquery and Birdeye Differ

Birdeye is a token market-data platform: prices, trades, OHLCV, portfolios and discovery, strongest on Solana, delivered as REST endpoints. Bitquery is a full blockchain data layer: the same trading data, plus transfers, balances, contract events, internal traces, mempool and MEV, across 40+ chains in one decoded schema.

The dividing line is scope. If your product needs token prices and trades on Solana and a handful of EVM chains, Birdeye covers that directly and well. If you also need what happened inside a transaction, on Bitcoin or Tron or XRP, or pushed into your warehouse, that is a different category of product.

Bitquery

Bitquery is an API-first blockchain data platform covering 40+ chains through one decoded GraphQL schema, delivered over GraphQL, WebSocket, Kafka, Solana gRPC, MCP and cloud datashares.

Teams that choose Bitquery tend to prioritize:

  • 40+ chains in one schema — Solana and EVM alongside Bitcoin, Tron, XRP, Cardano, Litecoin and Stellar
  • Raw on-chain data, not just market data — transfers, balances, contract events, internal calls and full transaction traces
  • GraphQL query flexibility — arbitrary filters and server-side aggregation, then the same query as a live subscription
  • Streaming transports beyond WebSocket — Kafka at under 500ms p95 with offset replay, Solana gRPC at under 300ms
  • Bulk warehouse delivery — Parquet to S3, Snowflake, BigQuery, Databricks, with no rate limits

Birdeye

Birdeye is an on-chain token data platform covering prices, trades, wallets and protocols across 300+ exchanges on 10 chains, with 60+ REST APIs and 8 WebSocket types.

Birdeye could be a good fit if:

  • Your scope is token prices, trades, OHLCV and portfolios, not general chain data
  • Solana is your primary chain — Birdeye's depth and reputation there are strong
  • You need Sui coverage, which Bitquery does not provide
  • You want market-discovery features — trending tokens, new listings, gainers and losers, token security signals
  • Your AI agent benefits from x402 pay-per-request access at $0.003 per request with no signup or API key
  • You prefer REST endpoints and an SDK over learning a GraphQL schema

Birdeye's Solana depth, discovery tooling and x402 pay-per-request model are genuine strengths. The x402 integration in particular is something Bitquery does not currently offer, and it removes account setup entirely for autonomous agents.

Detailed Feature Comparison: Bitquery vs Birdeye

CapabilityBitqueryBirdeye
Chain coverage40+ chains, one decoded schema10 chains — Solana, Sui and major EVM
Non-EVM beyond SolanaBitcoin, Tron, XRP, Cardano, Litecoin, Stellar, FilecoinSui
Query modelGraphQL — arbitrary filters and aggregationsREST — 60+ purpose-built endpoints
Same query as live subscriptionYes — swap `query` for `subscription`Separate WebSocket types
DEX trade coverage300+ DEXs300+ exchanges
OHLCV candles1s to 1d intervalsYes
Token pricesAggregated cross-DEX, volume-weightedLiquidity-weighted
Token holder distribution & snapshotsYes, historicalHolder distribution available
Transfers, balances, raw transactionsYes, all covered chainsWallet-level portfolio and history
Contract events, internal calls, tracesYes — full execution treeNot offered
NFT trades, metadata, holdersYesNot a focus
Mempool / pending transactionsYes — Ethereum, BNB Chain, SolanaNot offered
MEV & sandwich detectionYes, decodedNot offered
Launchpad feedsPump.fun, PumpSwap, Raydium, Four.memeLaunch Explorer across major launchpads
Market discovery UI (trending, screeners)Not a focusCore strength
Token security / safety signalsAddress labels and risk scoringYes
Streaming transportsWebSocket ~1s, Kafka <500ms p95, Solana gRPC <300msWebSocket
Warehouse & bulk exportParquet to S3, Snowflake, BigQuery, DatabricksNot offered
AI / agent accessMCP server, credits from $9x402 pay-per-request, $0.003/request
Pricing model$49 / $99 / $299 per month + EnterpriseCompute-unit tiers + x402
Uptime99.9%Not published

Choosing the Right Tool: Bitquery or Birdeye

When should you choose Birdeye over Bitquery?

Choose Birdeye if:

  • Your product needs token prices, trades and portfolios and nothing deeper
  • Solana is the chain that matters most to your users
  • You need Sui, which Bitquery does not cover
  • Market discovery — trending tokens, screeners, new listings — is part of your product
  • Your AI agent should pay per request with no signup, via x402
  • Your team wants REST endpoints and the fastest possible first integration

When should you choose Bitquery over Birdeye?

Choose Bitquery if you need:

  • More than 10 chains — including Bitcoin, Tron, XRP and Cardano in the same schema
  • Raw on-chain data — transfers, balances, contract events, internal calls and full traces
  • Mempool and pre-confirmation visibility, plus decoded MEV
  • Kafka with offset replay or sub-300ms Solana gRPC, not WebSocket alone
  • Arbitrary GraphQL queries with server-side aggregation, rather than fixed endpoints
  • NFT trades, metadata and ownership alongside fungible token data
  • Bulk historical delivery into your warehouse as Parquet with no rate limits

FAQ

Birdeye is a token market-data platform covering prices, trades, OHLCV and portfolios across 10 chains via REST. Bitquery is a full blockchain data layer covering 40+ chains in one decoded GraphQL schema, adding transfers, contract traces, mempool, MEV, NFTs and warehouse delivery.

Yes, particularly when your scope extends past token market data. Bitquery covers the same trading data across 300+ DEXs while adding raw chain data, non-EVM chains like Bitcoin and Tron, Kafka and gRPC transports, and bulk warehouse export. For Solana-only token discovery, Birdeye remains the more specialised option.

Bitquery supports 40+ chains through one decoded schema. Birdeye supports 10 — Solana, Sui and major EVM networks. Birdeye covers Sui, which Bitquery does not; Bitquery covers Bitcoin, Tron, XRP, Cardano, Litecoin, Stellar and Filecoin, which Birdeye does not.

Both are strong on Solana. Birdeye leads on trader-facing discovery and token security signals. Bitquery leads on delivery and depth — the CoreCast gRPC stream at under 300ms for MEV and high-frequency workloads, plus instructions, balance updates and full transaction context in the same schema as every other chain.

No. Birdeye is scoped to token and market data. Bitquery decodes contract events by signature, internal calls and the full execution tree of any transaction across 40+ chains.

No. Bitquery serves AI agents through an MCP server at mcp.bitquery.io, where credits start free and top up at $9 for 10,000. Birdeye's x402 integration allows per-request payment with no account, which is a different model — better for fully autonomous agents, less predictable for budgeting at volume.

Bitquery, if the wallet spans beyond EVM and Solana. Bitquery provides multi-chain balances, historical point-in-time balances, live USD valuation and transfer history across 40+ chains including Bitcoin, Tron and XRP. Birdeye covers portfolios well within its 10 supported chains.

Bitquery self-serve plans are $49/month (Personal), $99/month (Pro) and $299/month (Scale), with 20% off annually, plus custom Enterprise pricing. Birdeye prices on compute units per API call with tiered plans, plus x402 at $0.003 per request. Bitquery's model is easier to forecast; Birdeye's x402 is cheaper at very low volume.

Yes, with Bitquery. Cloud Datashares deliver bulk historical and real-time data into Snowflake, BigQuery, Databricks and Azure, or as Hive-partitioned Parquet to your own S3 bucket with no rate limits and no API point spend. Birdeye does not offer warehouse delivery.

Bitquery operates at 99.9% uptime and offers a committed uptime SLA on Enterprise plans, alongside SSO and dedicated support. Bitquery does not currently hold SOC or ISO certification for those controls.

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Bitquery Platform Overview

InterfaceLatencyBest for
GraphQL — graphql.bitquery.io~300ms queryAd-hoc queries, dashboards, backfills
WebSocket — streaming.bitquery.io~1s pushBrowser apps, live charts, alerts
Kafka — kafka.bitquery.io<500ms p95Pipelines, high-volume ingestion, replay
Solana gRPC — CoreCast<300msMEV, HFT, fastest terminals
MCP — mcp.bitquery.ioQuery-timeLLM agents, copilots, research
Cloud Datashares — S3, Snowflake, BigQueryBatch + deltasWarehouses, ML, petabyte backfills

Why this matters: Birdeye answers “what is this token worth and who is trading it.” Bitquery answers that too, and also “what happened inside this transaction,” “who moved funds where,” and “give me all of it in Parquet” — across 40+ chains.

Production Scale

40+

blockchains

30+

data products

300+

DEXs

10M+

tokens

1PB+

indexed blockchain data

10bn+

API calls per month

40,000+

developers

99.9%

uptime

Indexing since 2018.

Trusted by Nansen, Binance, 0x, Chainalysis, TRM Labs, Nexo, CoinMarketCap and Coin Metrics.

What Users Say

Bitquery is rated 4.6 out of 5 on G2. Reviewers repeatedly point to the breadth of chains reachable through one consistent schema and to responsive engineering support.

Read the reviews on G2

Pricing

PlanPriceIncludes
Personal$49/mo ($39 annual)100k API points, 9 core chains, API only, personal use
Pro$99/mo ($79 annual)1M points, 100k stream-minutes, live DEX & price streams, commercial license
Scale$299/mo ($239 annual)5M points, 2M stream-minutes, all streams incl. mempool, dedicated Slack support
EnterpriseCustomComplete history across 40+ chains, unlimited streaming, Kafka, S3 Parquet, SLA, SSO

All paid plans include a 7-day free trial with full live WebSocket streaming — no card required.