Every “top crypto API” list ranks providers by endpoint count. Endpoint count has never been the thing that kills a project.
The thing that kills a project is the day you stop polling a price every 30 seconds and start streaming every DEX trade on Solana. That’s when you find out your provider gates WebSocket behind a tier you didn’t budget for, bills streaming as an overage nobody will quote you up front, or, most commonly, won’t tell you what its latency is.
That last one is worth sitting with. Of these three providers, only one publishes a latency number.
Three providers, two questions. How good is the streaming, and what does it cost to get to it?
Quick comparison
| Bitquery | CoinGecko | Birdeye | |
|---|---|---|---|
| Core strength | Aggregated price index and raw on-chain data, both streamed | Aggregated market data with deep CEX coverage | Solana-first token and trading data |
| Aggregated prices, OHLC, market cap | Yes. Price Index with cross-chain aggregation | Yes. The category benchmark | Yes, per token |
| Streams OHLC at 1-second intervals | Yes | No | No |
| Cheapest tier with WebSocket | $99/mo (Pro), $79 annual | $129/mo (Analyst) | $199/mo (Premium) |
| Free way to test streaming | 7-day trial, full streaming, no card | Not available on Demo | Not available on Standard |
| Streaming protocols | WebSocket, Kafka (protobuf), gRPC (Solana) | WebSocket | WebSocket |
| Published latency | ~1s WebSocket, <500ms Kafka, <500ms gRPC | Not published | Not published |
| Concurrent streams | 100 (Pro), 1,000 (Scale), unlimited (Enterprise) | Not published per tier | 500 (Premium), 2,000 (Business) |
| Data depth | Price index, OHLC, SMA/WMA/EMA, market cap, supply, plus trades, transfers, events, calls, traces, balances, liquidity, mempool | Prices, market caps, tickers, OHLC, DEX pools | Token prices, trades, holders, security |
| Price source | DEX trades, volume-weighted across pools and chains | CEX and DEX aggregated | DEX trades |
| Billing meter | API points (flat 5 per call), stream-minutes, GB | Call credits | Compute Units, cost varies per endpoint |
| Overage pricing | Flat: $50/1M points, $25/100k stream-min, $10/GB | Upgrade a tier | $6.90 to $23 per 1M CUs. WebSocket overage: contact sales |
| Chains | 8 self-serve, 40+ Enterprise | 200+ networks, aggregated | 15+ chains, Solana-heavy |
| Entry price | $49/mo (API only) | Free, or $129 paid | Free, or $39 |
1. Bitquery
Streaming here isn’t a feature added to a REST API later. It’s what the platform was built around.
It does aggregated prices too, and streams them
This is the part most comparisons get wrong, so it goes first. Bitquery isn’t only a raw-data provider. The Crypto Price API gives you the same class of data you’d go to CoinGecko for: aggregated USD prices, OHLC candles, market cap, fully diluted valuation, circulating and total supply, plus SMA, WMA and EMA, all pre-calculated so you can feed a chart directly without computing anything.
The difference from CoinGecko is that you don’t poll it. You subscribe to it, at intervals down to 1 second.
That’s a live, filtered, market-cap-annotated OHLC feed for every token on the network, in twenty lines. There’s a Kafka topic (trading.prices, protobuf) for the same data if you need replay and backpressure handling, and a TradingView SDK that wires the stream straight into a chart.
The prices aren’t a naive last-trade read, either. The index runs a 1-hour rolling window with exponentially decayed volume weighting, so a trade at the midpoint of the window counts for 50% of its volume, and prices are volume-weighted across every pool and chain the token trades on. Zero-amount and sub-precision trades are filtered out before aggregation.
And it goes down to the raw data underneath
The other two stop at the aggregate. Bitquery lets you drop below it. The Scale plan adds transfers, events, calls, traces, balance updates, liquidity, and mempool streams. Mempool is the one neither competitor has at all: pre-confirmation transactions, visible before any aggregator has seen them.
So a single provider covers both “what is this token worth right now” and “which wallet is about to move it.”
How it streams, and how fast
Three delivery mechanisms, not one, and they sit at different points on the latency curve. This is the part neither competitor can match, because neither publishes a latency figure at all.
| Transport | Latency | Filtering | Replay | Best for |
|---|---|---|---|---|
| WebSocket (GraphQL subscriptions) | ~1 second | Very high: addresses, tokens, pools, USD thresholds, complex conditions | No | Dashboards, explorers, bots, anything needing USD values and rich filters |
| Kafka | < 500 ms | None. You get the full stream and filter client-side | Yes, configurable retention, at-least-once delivery | Indexing, ETL, MEV bots, mission-critical infra that cannot drop a transaction |
| CoreCast (gRPC, Solana) | < 500 ms | Basic: addresses, tokens, pools, thresholds | No | Solana trading bots, MEV, terminals |
The tradeoff is explicit and worth understanding before you pick. WebSocket is the easiest to build against and gives you the most powerful filtering plus built-in USD values, at around a second. Kafka is roughly twice as fast but ships you everything and makes filtering your problem, in exchange for retention and replay from checkpoints. CoreCast is sub-500ms on Solana with lighter filtering and no replay, and it’s the lightest to run: a Protobuf stream straight into a backend service.
Most teams start on WebSocket and drop to CoreCast or Kafka only when they can prove the extra half-second is costing them money. Note that Kafka access is Enterprise-only; WebSocket runs on the self-service plans.
Concurrency runs to 100 streams on Pro, 1,000 on Scale, and unlimited on Enterprise.
What it costs
| Plan | Monthly | Annual | API points | Streams | Stream data |
|---|---|---|---|---|---|
| Personal | $49 | $39 | 100k | None. API only | n/a |
| Pro | $99 | $79 | 1M | 100 concurrent, 100k stream-min | 5 GB |
| Scale | $299 | $239 | 5M | 1,000 concurrent, 2M stream-min | 50 GB |
| Enterprise | Custom | Custom | Custom | Unlimited | Unlimited |
Overages are flat at any volume: $50 per 1M API points, $25 per 100k stream-minutes, $10 per GB, all 20% cheaper bought annually. There is no tier where the unit cost quietly climbs.
Checkout is four steps: pick a plan, size your add-ons, review, pay. You choose your top-ups before you pay, so the invoice contains nothing you didn’t select, and you can cancel any time. No sales call.
The free trial includes streaming
Every paid plan opens with a 7-day trial that includes full live WebSocket streaming, no card required. Both other providers put WebSocket behind a paid tier, which makes Bitquery the only one of the three where you can prove your streaming architecture works before you spend anything.
Where it’s weaker
Prices are DEX-derived. The Price Index is built from on-chain DEX trades, volume-weighted across pools and chains. It does not aggregate centralised exchange order books. If your token’s price discovery happens mostly on Binance rather than on-chain, CoinGecko’s CEX coverage is the more accurate read.
Self-service is built for real-time, not archives. The $49, $99 and $299 plans are tuned for live data and recent history, not deep backfills. If your product needs years of history, that’s a custom plan rather than a checkout page.
Fewer chains, self-serve. Eight, Solana plus 7 EVM. The other 30+ sit in Enterprise. CoinGecko covers 200+ networks.
GraphQL. It takes a day or two to get comfortable with if your team has only ever written REST calls.
Best for: trading bots, real-time charts, DEX analytics, market makers. Anything that breaks when data arrives five seconds late.
2. CoinGecko
CoinGecko is the benchmark for market data, and the thing it genuinely owns is breadth. 200+ networks, and critically, centralised exchange coverage: tickers, order book volumes, and exchange-level data that no on-chain provider can see. Plus token metadata, categories, and the long tail of listed assets. If you need a price for an asset that trades mostly on CEXs, or you need the widest possible asset universe, this is the one.
What it costs
Demo is free, capped at 10k calls a month at 30 calls per minute, with no WebSocket. Analyst starts at $129/mo for 500k call credits at 500 calls per minute, and this is where WebSocket and webhooks begin. Above that, Lite is $499/mo and Pro is $999/mo, with custom Enterprise pricing beyond.
Where it falls short for streaming
The architecture is polling-first and the data shape follows from that. Even with WebSocket on the paid tiers, you’re receiving aggregated market data, not sub-second OHLC and not raw on-chain events. There are no transfer streams, no contract event streams, no traces, no mempool. If you need to know that a specific wallet swapped on a specific pool three blocks ago, CoinGecko can’t tell you. Its DEX coverage, through the GeckoTerminal endpoints, is pool-level rather than transaction-level.
The trap is assuming the CEX breadth means it’s also the better real-time engine. It isn’t. Breadth of assets and speed of delivery are different products, and CoinGecko optimises hard for the first one.
On price, the jump from $129 to $499 is steep, and much of what you’re buying at that tier is aggregation breadth you may never call.
Best for: portfolio apps, market cap tables, CEX-listed asset coverage, research dashboards. Not for event-driven systems or sub-second charts.
3. Birdeye
Birdeye is Solana-native and good at it. Token prices, trades, holder data, security checks, trending tokens. If your product is a Solana token explorer, it’s a natural fit.
What it costs
| Package | Price | Compute Units | Rate limit | WebSocket |
|---|---|---|---|---|
| Standard | Free | 30k | 1 rps | No |
| Lite | $39 | 1.5M | 15 rps | No |
| Starter | $99 | 5M | 15 rps | No |
| Premium | $199 | 15M | 50 rps | Yes, 500 connections |
| Business | $499 | 60M | 100 rps | Yes, 2,000 connections |
| Business (B-50) | $2,050 | 500M | 150 rps | Yes |
Two problems
WebSocket costs $199/mo minimum. Lite and Starter don’t include it at all, so if streaming is why you’re shopping, the $39 headline price is not a price you can actually use. You’re really comparing at $199, which is roughly double Bitquery Pro for fewer dataset types.
Compute Units are also hard to forecast. Every endpoint burns a different, dynamically-priced number of CUs, so your monthly bill depends on which endpoints you happened to hit and how heavy the responses were. WebSocket overage isn’t published at all. The docs say: “WebSocket data uses different pricing overage, contact Birdeye team for more details.” If you’re trying to model unit economics before launch, that’s a gap you can’t close from the outside.
Rate limits bind earlier than you’d expect, too: 15 rps on Starter, 50 rps on Premium.
Best for: Solana token analytics and security tooling, if variable billing is acceptable to you.
Head to head
Aggregated prices and OHLC. All three have them. Only Bitquery lets you subscribe to them at 1-second intervals with market cap, supply and moving averages pre-calculated in the same message. CoinGecko has the widest asset coverage, including CEX-listed tokens that never touch a DEX. Pick on whether you need reach or speed, because they are not the same product.
Latency. Bitquery publishes it: ~1 second on WebSocket, under 500ms on Kafka, under 100ms on CoreCast gRPC for Solana. CoinGecko and Birdeye publish no latency figure for their WebSocket products at all. You can only find out what yours is after you’ve paid, which for a latency-sensitive application is a strange way to have to buy.
Cheapest real WebSocket access. Bitquery Pro at $99/mo, or $79 annual. CoinGecko Analyst at $129. Birdeye Premium at $199.
Cheapest way to test streaming. Bitquery is $0, on a 7-day trial with full streaming and no card. On CoinGecko’s Demo tier and Birdeye’s Standard tier, it isn’t possible at all.
Deepest real-time data. Only Bitquery streams mempool, traces, calls and contract events. CoinGecko streams aggregated market data. Birdeye streams token and trade updates. If your product depends on seeing on-chain activity before it has been aggregated, that narrows the field to one.
Most predictable bill. Bitquery’s meters are flat and published: 5 points per call, $50 per 1M points, $25 per 100k stream-minutes, $10 per GB. Birdeye’s CU cost varies per endpoint and its WebSocket overage is quote-only. CoinGecko is simple to understand, but the tier jumps are large.
Picking one
If you need the widest asset universe, or your tokens price mostly on centralised exchanges, use CoinGecko. Nothing on-chain can see a Binance order book.
If you’re building a Solana-only token explorer and variable billing doesn’t bother you, Birdeye Premium is a reasonable fit.
If you need prices fast rather than prices everywhere, start with Bitquery. You get the aggregated layer, OHLC, market cap, supply, moving averages, streamed at 1-second granularity with a TradingView SDK sitting on top of it, and the raw trades, transfers and mempool underneath when you need to know why the price moved. It’s also the cheapest entry into real WebSocket streaming, the only one you can trial for free, and the only one whose overage rates you can put in a spreadsheet before you sign up.
You can size a plan and check out yourself at bitquery.io/pricing, or start the trial at account.bitquery.io and have a live price stream running before you’ve committed to anything.
Pricing accurate as of July 2026. Providers change plans. Verify on their pricing pages before committing.
Sources: Bitquery Pricing · Bitquery Streaming APIs (latency comparison) · Crypto Price API · Price Index Algorithm · CoinGecko API Pricing · Birdeye Data Services Pricing
