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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.

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

Bitquery indexes blockchains directly — decoded transfers, traces, mempool and MEV, plus aggregated cross-chain DEX trade data through the Trading API.
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.
| Capability | Bitquery | CoinGecko API |
|---|---|---|
| Data model | Raw indexed blockchain data, decoded + aggregated DEX trade data (Trading API) | Aggregated market data + on-chain DEX data |
| Centralized exchange data | Not offered | 1,700+ exchanges |
| Reference price per asset | Cross-chain DEX aggregate via Trading API; no CEX input | Cross-CEX and DEX, published methodology |
| Query model | GraphQL — arbitrary filters and aggregations | REST — 80+ purpose-built endpoints |
| Transfers, balances, raw transactions | Yes, all covered chains | Not offered |
| Contract events, internal calls, traces | Yes — full execution tree | Not offered |
| Mempool / pending transactions | Yes — Ethereum, BNB Chain | Not offered |
| MEV & sandwich detection | Yes, decoded | Not offered |
| Trade counterparties & wallet attribution | Yes | Not offered |
| Realized PnL / top traders | Yes | Not offered |
| Token holder distribution & snapshots | Yes, real-time and historical | Not a focus |
| NFT trades, metadata, holders | Yes | NFT metrics available |
| Network coverage | 40+ chains, one decoded schema | 250+ networks |
| Token coverage | 10M+ tokens | 42M+ on-chain tokens |
| Token metadata, categories, rankings | Not a focus | Core strength |
| Derivatives data | Not offered | Open interest, funding rates, basis |
| On-chain historical depth | Genesis-to-tip on Enterprise | On-chain from 2021; CEX daily from 2013 |
| Streaming transports | WebSocket ~1s, Kafka <500ms p95, Solana gRPC <300ms | WebSocket (sub-second) + Webhook |
| Kafka / gRPC with replay | Yes | Not offered |
| Warehouse & bulk export | Parquet to S3, Snowflake, BigQuery, Databricks | Not offered |
| AI / agent access | MCP server, credits from $9 | MCP server, x402, CLI, Sheets/Excel add-ons |
| Free tier | 7-day trial, live streaming, no card | Demo plan, 10,000 calls/month |
| Entry commercial price | $49/month | $35/month |
| Uptime | 99.9% | 99.9% SLA on Enterprise |
| SOC certification | Not published | SOC 2 Type 2 |
Choose CoinGecko if:
Choose Bitquery if you need:
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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Telegram| Interface | Latency | Best for |
|---|---|---|
| GraphQL — graphql.bitquery.io | ~300ms query | Ad-hoc queries, dashboards, backfills |
| WebSocket — streaming.bitquery.io | ~1s push | Browser apps, live charts, alerts |
| Kafka — kafka.bitquery.io | <500ms p95 | Pipelines, high-volume ingestion, replay |
| Solana gRPC — CoreCast | <300ms | MEV, HFT, fastest terminals |
| MCP — mcp.bitquery.io | Query-time | LLM agents, copilots, research |
| Cloud Datashares — S3, Snowflake, BigQuery | Batch + deltas | Warehouses, 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.
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.
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| Plan | Price | Includes |
|---|---|---|
| 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 |
| Enterprise | Custom | Complete 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.