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Bitquery

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Query real-time and historical blockchain data across 40+ chains via GraphQL, WebSocket, and Solana gRPC. DEX trades, token holders, money flow, and more. Plans

4.30/5
Last updated: June 26, 2026

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About Bitquery

Bitquery Review 2026

Bitquery delivers a unified API that aggregates blockchain data across dozens of networks, turning raw ledger entries into actionable analytics. Enterprises, DeFi platforms, and research teams use it to power dashboards, compliance checks, and market intelligence. In 2026, where real‑time on‑chain visibility drives competitive advantage, Bitquery positions itself as a core data layer for crypto‑focused businesses.

20M+
Calls/mo
Free tier
30+
Chains
Supported networks
100+
Endpoints
Data types
99.9%
Uptime
SLA
Quick Summary
Overall Rating4.2/5
Best ForCrypto analytics teams needing multi‑chain data at scale
PricingUsage-based pricing from $39/mo; free 7-day trial with limited quota
Free PlanYes
Ease of Use4.0/5
Business Value4.3/5

What Is Bitquery and Why Does It Matter?

Bitquery is a blockchain data API provider that indexes 40+ blockchains and offers real-time and historical data through a unified GraphQL schema, WebSocket streams, and Solana gRPC. It serves 40,000+ developers and is trusted by companies like Nansen, Chainalysis, and Binance. The platform provides 30+ data products, including DEX trades, token holders, money flow (Coinpath®), balances, and price APIs. Pricing starts at $49/mo (annual billing) for personal plans, with Pro and Scale tiers for commercial use, and Enterprise offers custom flat fees with Kafka and S3 exports. All self-service plans are real-time only, covering 9 core chains with 30-day trade history; archive history is a paid add-on. Bitquery positions itself as a scalable, multi-chain data infrastructure for trading terminals, analytics, compliance, and AI agents via MCP.

Who Should Use Bitquery?

  • DeFi product managers: Need real‑time liquidity and transaction metrics to inform feature rollouts.
  • Compliance officers: Require traceable on‑chain activity for AML reporting.
  • Data scientists: Seek bulk export of historical transaction data for model training.
  • Crypto market researchers: Use aggregated insights to spot emerging trends across chains.
Professional reality: Bitquery is not ideal for teams that need deep, node‑level debugging tools or custom consensus‑engine data.

Bitquery Features That Drive Results

DATA COVERAGE

40+ Blockchains, One Schema

Bitquery indexes 40+ blockchains including Ethereum, Bitcoin, Solana, BNB Chain, Polygon, Arbitrum, Base, and more. Query every major chain through a single GraphQL schema without switching tools or running nodes.

Access real-time and historical data across 40+ chains through one unified API.

MULTIPLE INTERFACES

GraphQL, WebSocket, gRPC & MCP

Design a query once and ship it over any protocol: GraphQL for historical and real-time data, WebSocket for browser-ready JSON streams, Solana gRPC (CoreCast) for MEV & HFT, and an MCP server for AI agents.

Flexibly integrate blockchain data into any application or AI workflow.

DEX & TRADING DATA

Real-Time DEX Trades & OHLCV

Stream live and historical trades, OHLCV candles, pairs, and liquidity across 300+ DEXs. The feed powers charts, terminals, and trading bots with sub-second latency.

Build trading terminals, charts, and bots with reliable DEX market data.

WALLET & HOLDER DATA

Token Holders, Balances & Transfers

Access holders, transfers, supply, top-trader data, and real-time balances for any token. Pre-indexed distribution and flow data supports wallets, portfolios, and custody applications.

Power wallets and portfolio tools with accurate balance and holder information.

MONEY FLOW

Coinpath® Money Flow Tracing

Trace funds wallet-to-wallet across chains for compliance, investigation, and forensics. The original on-chain money-flow API is used by companies like Chainalysis and TRM.

Conduct compliance, AML, and forensic investigations with traceable fund flows.

ENTERPRISE DELIVERY

Kafka Streams & S3 Parquet

Enterprise plans include fixed-cost Kafka streams with <500ms latency, guaranteed delivery, offset replay, and S3 Parquet exports for petabyte-scale backfills. Works with Snowflake, BigQuery, Databricks, Spark, Athena, Airflow, and dbt.

Integrate blockchain data directly into your data warehouse or pipeline.

Bitquery Pricing in 2026

Bitquery offers usage-based pricing across 40+ blockchains, with plans starting at $39/month (billed annually) for personal projects. The Personal plan includes 100k API points monthly, while Pro ($79/month) adds live streaming for trading bots. Scale ($239/month) supports production apps with 5M API points and 2M stream-minutes. All self-service plans are real-time only, covering 9 core chains with 30-day trade history; archive history is a separate add-on from $70/month per chain. Enterprise offers custom pricing with full historical data, unlimited streams, and Kafka/S3 exports. A 7-day free trial with 1,000 API points and limited streaming is available, no card required.

PlanPriceWhat You Get

Visit the official Bitquery website to check the latest pricing and plans.

Where Bitquery Is Strong / Where It Needs Care

Where Bitquery Is Strong
  • 40+ chains, one schemaBitquery indexes 40+ blockchains, including Ethereum, Bitcoin, Solana, BNB Chain, Polygon, Arbitrum, Base, Optimism, Avalanche, Tron, Cardano, XRP, Litecoin, and Dogecoin, plus 24 more. All data is queryable through a single GraphQL schema, so you can add new chains without changing your code or joining new RPCs.
  • Multiple delivery interfacesDesign a query once and ship it over GraphQL, WebSocket (browser-ready JSON streams with ~1s latency), Solana gRPC (binary Protobuf via CoreCast, built for MEV & HFT), or MCP Server for AI agents. Enterprise plans add Kafka streams and S3 Parquet exports with no rate limits on bulk.
  • Proven at scaleBitquery is trusted by 40,000+ developers at companies like Nansen, Chainalysis, and Binance. The platform indexes over 1PB of blockchain data and serves 10bn+ API calls per month, powering trading terminals, tax tools, wallets, and analytics platforms.
  • 30+ data productsPick from 30+ pre-indexed data products including DEX trades, OHLCV, token holders, money flow (Coinpath®), balances, and NFT data. All products share the same underlying schema, so you can combine them in one query.
Where Bitquery Needs Care
  • Pricing and plan limitsSelf-service plans start at $39/mo (annual) for Personal, $79/mo for Pro, and $239/mo for Scale. All open plans run on real-time datasets only — 9 core chains, 30-day trades, 4–8h on-chain. Historical archive data is NOT included and must be added per chain from $70/mo. The free 7-day trial is an evaluation sandbox with limited quota (1,000 API points, 100 MCP credits, 2 simultaneous streams, 17 stream-minutes, 0.2 GB bandwidth).
  • Streaming and data latencyWebSocket streams deliver data at ~1s latency, while Solana gRPC (CoreCast) offers <50ms latency. Kafka streams on Enterprise provide <500ms p95 latency with at-least-once delivery and offset replay. Real-time datasets on self-service plans have 4–8h on-chain latency for non-trade data.
  • Enterprise features are customEnterprise plans offer a tailored platform fee (not metered) with complete historical data for all 40+ chains, unlimited WebSocket streaming, custom API point allowance, Kafka fixed-cost, S3 bulk exports, Mempool, Coinpath®, SLA, SSO, and dedicated support. These are only available by talking to sales — no self-service signup.
  • Data coverage and add-onsWhile 40+ chains are indexed, self-service plans only include 9 core chains in real-time. Archive history is a separate add-on per chain. Streaming data is metered by stream-minutes and GB — Pro includes 100k stream-minutes and 5GB, Scale includes 2M stream-minutes and 50GB. Extra points, minutes, and GB are available as flat-rate add-ons.

Real-World Use Cases

DeFi Dashboarding

A DeFi protocol can pull real‑time TVL, swap volumes, and user counts via Bitquery to power investor dashboards, reducing reliance on fragmented data feeds.

AML Transaction Monitoring

Compliance teams map address risk scores to on‑chain transfers, automating alerts for suspicious activity without building custom parsers.

NFT Market Research

Analysts query minting events and ownership transfers across Ethereum, Solana, and Polygon to spot emerging creator trends.

Academic Blockchain Studies

Researchers extract historical transaction datasets for econometric modeling, leveraging Bitquery’s bulk export capabilities.

How to Get Started With Bitquery

1

Sign up for a free Bitquery account and generate an API key.

2

Review the GraphQL schema documentation and test queries in the sandbox.

3

Choose a pricing tier that matches your call volume and enable role‑based keys.

4

Integrate the endpoint into your analytics pipeline or dashboard.

Is Bitquery Worth It in 2026?

Bitquery delivers strong value for crypto‑focused businesses that need reliable, multi‑chain data without the overhead of running nodes. Mid‑size DeFi products benefit most from the Standard plan’s balance of cost and capacity. The platform’s biggest strength is its unified GraphQL API, while its main limitation is the lack of raw node data for deep protocol analysis. If your organization prioritizes compliance‑ready analytics and rapid development, Bitquery is a worthwhile investment; otherwise, a self‑hosted solution may be preferable.

Bitquery vs the Competition

Decision AreaBitqueryWhen Another Option Wins
Blockchain coverage40+ chains indexed, including Ethereum, Bitcoin, Solana, BNB Chain, Polygon, Arbitrum, Base, and more — all under one GraphQL schema.If you only need data from a single chain and prefer a simpler, chain-specific API.
Data delivery interfacesGraphQL, WebSocket, Solana gRPC (CoreCast), Kafka (Enterprise), and MCP server for AI agents — all from the same indexed data.If you only need REST endpoints and don't require streaming or AI-agent integration.
Real-time streamingWebSocket streams with ~1s latency on self-service plans; Solana gRPC <50ms for MEV/HFT; Kafka <500ms p95 on Enterprise.If you need sub-millisecond latency on non-Solana chains, other providers may be faster.
Historical dataFull archive history available as Parquet on S3 (Enterprise) or per-chain add-ons from $70/mo; self-service plans include 30-day trades.If you need deep historical data out-of-the-box on a low-cost plan without add-ons.
Pricing modelUsage-based: pay for API points, stream-minutes, and GB. Personal plan starts at $39/mo (annual), free 7-day trial with full streaming.If you prefer flat monthly pricing with unlimited queries, other tools may be more predictable.

Bitquery vs Nansen

Nansen is a blockchain analytics platform known for its wallet labels, smart money alerts, and portfolio tracking. Bitquery offers a broader data API with 40+ chains and multiple delivery interfaces (GraphQL, WebSocket, gRPC, Kafka) for developers building custom applications.

Choose Bitquery if: You're a developer who needs raw, queryable blockchain data across many chains and want to build your own analytics, dashboards, or trading bots with flexible streaming options.   Choose Nansen if: You prefer an out-of-the-box analytics dashboard with curated wallet labels and don't need to build custom queries from scratch.

Bitquery vs Dune Analytics

Dune Analytics lets users query blockchain data with SQL and share dashboards. Bitquery provides a similar data foundation but with a GraphQL schema, real-time WebSocket streaming, and support for 40+ chains — including Solana gRPC for high-frequency use cases.

Choose Bitquery if: You need real-time streaming, low-latency data for trading bots, or want to integrate blockchain data directly into your own application via API.   Choose Dune Analytics if: You prefer writing SQL queries and want a community-driven dashboard platform without managing your own infrastructure.

Frequently Asked Questions

What blockchain data does Bitquery provide?

Bitquery indexes 40+ blockchains and offers 30+ data products including DEX trades, token prices, OHLCV, holders, money flow, smart contracts, and balances. Data is delivered via GraphQL, WebSocket, Solana gRPC, Kafka (Enterprise), and an MCP server for AI agents.

How does Bitquery pricing work?

Bitquery uses usage-based pricing with plans starting at $39/mo (billed annually) for Personal, $79/mo for Pro, $239/mo for Scale, and custom Enterprise pricing. Plans include API points, stream-minutes, and GB of stream data. A 7-day free trial with full live WebSocket streaming is available without a card.

Does Bitquery include historical blockchain data?

Self-service plans (Personal, Pro, Scale) include real-time data only, with 30-day trades and 4–8h on-chain data. Historical archive data is sold separately as add-ons per chain (from $70/mo) or included in Enterprise plans with genesis-to-tip coverage across 40+ chains.

What interfaces does Bitquery support?

Bitquery offers GraphQL for querying, WebSocket for real-time JSON streams, Solana gRPC (CoreCast) for low-latency binary data, Kafka for enterprise streaming, and an MCP server for AI agents. All interfaces use the same schema and indexed data.

Who uses Bitquery?

Bitquery is trusted by 40,000+ developers at companies like Nansen, Chainalysis, and Binance. Use cases include trading terminals, on-chain intelligence, tax/audit/compliance, wallets, custody, and fintech applications.

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Key Takeaways

  • Bitquery is best for crypto analytics teams who need custom, multi‑chain data extraction.
  • Pricing starts at free – paid plans begin at $199/month; enterprise pricing is custom.
  • Biggest strength is the unified GraphQL API; main limitation is lack of raw node‑level data.

Best Bitquery Alternatives

  • Glassnode — Provides ready‑made on‑chain metrics and visual dashboards for rapid market analysis.
  • Dune Analytics — Offers a community‑driven query marketplace with powerful visualization tools.
  • Messari — Delivers curated research reports and a fixed‑price data catalog for analysts.
Bottom Line: Invest in Bitquery if your business relies on flexible, multi‑chain on‑chain data; otherwise, consider a more visual or research‑focused alternative.

Last Reviewed: June 2026 | Reviewed by theaitoolsbox.com editorial team

Pros & Cons

Pros

  • Multi‑Chain Coverage
  • Developer Friendly
  • Compliance Ready
  • Scalable Plans

Cons

  • Limited Node‑Level Data
  • Pricing Transparency
  • Learning Curve
  • Professional Reality

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