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Bitquery vs CoinGecko: Raw On-Chain Data vs Aggregated Market Data


Compare Bitquery and the CoinGecko API across data model, raw blockchain access, historical depth, streaming transports, coverage and pricing.

Bitquery vs CoinGecko: Raw On-Chain Data vs Aggregated Market Data

Bitquery indexes blockchains directly — decoded transfers, traces, mempool and MEV, plus aggregated cross-chain DEX trade data through the Trading API.

How Bitquery and CoinGecko Differ

These two products sit at different layers of the stack, and for most teams they are not substitutes.

CoinGecko aggregates market data. It reconciles prices across centralized and decentralized exchanges into a single trusted figure per asset, with metadata, rankings and categories on top — the industry reference for “what is this token worth.”

Bitquery indexes blockchains. It decodes what actually happened on-chain: every trade with its counterparties, every transfer, every contract event, internal call and execution trace, plus mempool and MEV, across 40+ chains in one schema. It also aggregates that activity — the Trading API serves cross-chain DEX prices, OHLCV and volume built from the trades Bitquery indexes itself.

The distinction that matters is not raw versus aggregated, since both products do both. It is the source. Bitquery's aggregates are computed from on-chain DEX activity only; CoinGecko blends centralized and decentralized venues into a single reference figure. Bitquery has no CEX data at all, and beneath its aggregates sits the transaction-level detail an aggregator does not expose — which is why teams frequently use both.

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:

  • Raw decoded chain data — transfers, balances, contract events, internal calls and full transaction traces
  • Aggregated DEX trade data — the Trading API serves cross-chain prices, OHLCV and volume computed from indexed on-chain trades, with no CEX input
  • Trade-level attribution — counterparties, top traders, realized PnL, holder distribution over time
  • History from genesis on Enterprise plans, not from an aggregator's start date
  • Mempool and MEV — pre-confirmation transactions, decoded sandwiches, arbitrage and liquidations
  • Transport choice — Kafka at under 500ms p95 with offset replay, Solana gRPC at under 300ms, plus bulk Parquet delivery

CoinGecko API

The CoinGecko API provides aggregated crypto market data across 17,000+ coins, 1,700+ exchanges and 250+ networks, with on-chain DEX data via GeckoTerminal covering 1,000+ DEXs.

CoinGecko could be a good fit if:

  • You need a single trusted reference price per asset, aggregated across CEX and DEX
  • Market caps, rankings, categories and token metadata are part of your product
  • Your coverage requirement is breadth of assets and networks — 42M+ tokens across 250+ networks
  • You need centralized exchange data, which Bitquery does not provide at all
  • SOC 2 Type 2 certification is a procurement requirement
  • You want derivatives data — open interest, funding rates, basis, spreads
  • A published, independently verifiable aggregation methodology matters for compliance
  • Cost is tightly constrained — a free Demo tier and a commercial license from $35/month

CoinGecko's asset breadth, CEX coverage, SOC 2 Type 2 certification and published aggregation methodology are real advantages Bitquery does not match. Bitquery has no centralized exchange data and no certification, and CoinGecko's network count is several times larger.

Detailed Feature Comparison: Bitquery vs CoinGecko

CapabilityBitqueryCoinGecko API
Data modelRaw indexed blockchain data, decoded + aggregated DEX trade data (Trading API)Aggregated market data + on-chain DEX data
Centralized exchange dataNot offered1,700+ exchanges
Reference price per assetCross-chain DEX aggregate via Trading API; no CEX inputCross-CEX and DEX, published methodology
Query modelGraphQL — arbitrary filters and aggregationsREST — 80+ purpose-built endpoints
Transfers, balances, raw transactionsYes, all covered chainsNot offered
Contract events, internal calls, tracesYes — full execution treeNot offered
Mempool / pending transactionsYes — Ethereum, BNB ChainNot offered
MEV & sandwich detectionYes, decodedNot offered
Trade counterparties & wallet attributionYesNot offered
Realized PnL / top tradersYesNot offered
Token holder distribution & snapshotsYes, real-time and historicalNot a focus
NFT trades, metadata, holdersYesNFT metrics available
Network coverage40+ chains, one decoded schema250+ networks
Token coverage10M+ tokens42M+ on-chain tokens
Token metadata, categories, rankingsNot a focusCore strength
Derivatives dataNot offeredOpen interest, funding rates, basis
On-chain historical depthGenesis-to-tip on EnterpriseOn-chain from 2021; CEX daily from 2013
Streaming transportsWebSocket ~1s, Kafka <500ms p95, Solana gRPC <300msWebSocket (sub-second) + Webhook
Kafka / gRPC with replayYesNot offered
Warehouse & bulk exportParquet to S3, Snowflake, BigQuery, DatabricksNot offered
AI / agent accessMCP server, credits from $9MCP server, x402, CLI, Sheets/Excel add-ons
Free tier7-day trial, live streaming, no cardDemo plan, 10,000 calls/month
Entry commercial price$49/month$35/month
Uptime99.9%99.9% SLA on Enterprise
SOC certificationNot publishedSOC 2 Type 2

Choosing the Right Tool: Bitquery or CoinGecko

When should you choose CoinGecko over Bitquery?

Choose CoinGecko if:

  • You need a single trusted price per asset rather than raw trade data
  • Centralized exchange coverage is required — Bitquery is on-chain only
  • Your product surfaces market caps, rankings, categories or token metadata
  • You need the widest possible asset and network coverage
  • SOC 2 Type 2 is a procurement gate
  • You need derivatives data — funding rates, open interest, basis
  • Your budget favours a free tier and a $35/month commercial license
  • A published aggregation methodology is needed for regulatory filing

When should you choose Bitquery over CoinGecko?

Choose Bitquery if you need:

  • What happened on-chain, not just the resulting price — transfers, events, internal calls, traces
  • Wallet-level attribution — who traded, against whom, at what size, with realized PnL
  • History from genesis rather than from an aggregator's 2021 on-chain start date
  • Mempool and pre-confirmation visibility, plus decoded MEV
  • Kafka with offset replay or sub-300ms Solana gRPC for pipelines and latency-critical systems
  • Arbitrary GraphQL queries with server-side aggregation instead of fixed endpoints
  • Bulk delivery into your warehouse as Parquet, with no rate limits or call budget
  • Non-EVM chains at transaction level — Bitcoin, Tron, XRP, Cardano, Stellar

FAQ

CoinGecko aggregates market data — prices, market caps, rankings and metadata across centralized and decentralized exchanges. Bitquery indexes blockchains directly, delivering decoded transfers, trades, contract events, traces, mempool and MEV across 40+ chains, and aggregates that activity through its Trading API into cross-chain DEX prices, OHLCV and volume. The difference is the source: Bitquery's aggregates are computed from on-chain DEX trades only, with no centralized exchange input, and the transaction-level detail behind them stays queryable.

Partially. Bitquery's Trading API serves aggregated cross-chain DEX prices, OHLCV and volume, so for on-chain market data the two overlap directly — and Bitquery adds trade-level attribution and raw chain data beneath it. But Bitquery has no centralized exchange data, no market caps or rankings, and no token metadata catalogue, so it does not replace CoinGecko as a blended CEX-and-DEX reference.

No. CoinGecko provides aggregated market data and on-chain DEX market data via GeckoTerminal, not raw chain data. Transfers, balances, contract events, internal calls, transaction traces and mempool activity require a blockchain indexer such as Bitquery.

Bitquery, on Enterprise plans, which provide complete history from genesis delivered by API or as bulk Parquet. CoinGecko's on-chain DEX history begins in 2021, though its aggregated CEX price history runs daily from 2013 — deeper than Bitquery for centralized market data, which Bitquery does not cover.

CoinGecko, by a wide margin — 250+ networks and 42M+ on-chain tokens against Bitquery's 40+ chains and 10M+ tokens. The difference is depth per chain: Bitquery decodes full transaction internals on every chain it covers, while CoinGecko surfaces market-level data across many more.

It depends on the data. CoinGecko delivers sub-second WebSocket price and trade ticks, and Bitquery's WebSocket runs at roughly one second. Bitquery's advantage is transport rather than raw speed on that one channel: Kafka at under 500ms p95 with offset replay, and Solana gRPC at under 300ms, carrying decoded chain events rather than market ticks.

No. Bitquery is on-chain only. Its Trading API aggregates prices across 300+ DEXs on 40+ chains, but every input is an on-chain trade — no centralized exchange data feeds into it. If your product needs Binance or Coinbase prices, or a blended CEX-and-DEX reference rate, pair Bitquery with a market data aggregator.

Yes, commonly. CoinGecko supplies reference prices, market caps and token metadata; Bitquery supplies the raw on-chain activity beneath it — trades with counterparties, transfers, holder movement, mempool and MEV. The layers are complementary rather than competing.

Bitquery self-serve plans are $49/month (Personal), $99/month (Pro) and $299/month (Scale), with 20% off annually, plus custom Enterprise pricing. CoinGecko's commercial license starts at $35/month, with a free Demo tier at 10,000 calls per month. CoinGecko is cheaper at entry; the two are priced for different workloads.

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: aggregated market data is derived from raw chain data. Bitquery operates at that upstream layer and aggregates on top of it — the Trading API serves cross-chain DEX prices and OHLCV, while the trades, transfers and traces they are computed from stay queryable. That is why market data platforms, exchanges and analytics providers are among its customers rather than only its comparisons.

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 access to datasets that are difficult to assemble from raw nodes, and to a consistent schema across chains.

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.