
DefiLlama · Best for: Honest, free DeFi data
The most trustworthy dataset in DeFi, maintained in the open, given away for free.
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Charting, analytics and execution tooling ranked on data quality and cost. Every score below is the weighted mean of the rubric marks, not an editor's gut feel.
| # | Service | Score | Best for | Fees | Since |
|---|---|---|---|---|---|
| 1 | 9.2/10 | Honest, free DeFi data | |||
| 2 | 9.1/10 | Charting, alerts and broker-connected execution | |||
| 3 | 8.5/10 | Real-time DEX pair monitoring | |||
| 4 | 8.4/10 | Custom on-chain queries and dashboards | |||
| 5 | 8.2/10 | Labelled wallet intelligence | |||
| 6 | 8.1/10 | Entity attribution and wallet tracing | |||
| 7 | 8.1/10 | Derivatives positioning and liquidation data | |||
| 8 | 8.1/10 | Institutional-grade market data feeds | |||
| 9 | 8.0/10 | Spotting concentrated and connected token holders | |||
| 10 | 7.9/10 | Exchange flow and miner metrics | |||
| 11 | 7.9/10 | Bitcoin and Ethereum on-chain metrics with history | |||
| 12 | 7.8/10 | Protocol research and standardised fundamentals | |||
| 13 | 7.5/10 | Social and sentiment metrics alongside on-chain data | |||
| 14 | 7.1/10 | Automated bots across connected exchanges | |||
| 15 | 7.0/10 | Marketplace-driven bot strategies |

The most trustworthy dataset in DeFi, maintained in the open, given away for free.

The default chart for most of the market, and still the best value in the category by a wide margin.

The fastest way to watch on-chain pairs as they trade, funded by the paid banners you should ignore.

Raw chain data with SQL on top — unmatched flexibility, and only as reliable as the query behind the chart.

The best wallet-labelling database in the business, priced for funds rather than individuals.

Powerful attribution tooling with a free tier that punches above its price, wrapped in a deanonymisation business model that deserves scrutiny.

The quickest read on funding, open interest and liquidations across venues — as accurate as the exchanges reporting it.

The cleanest market data in the sector, sold exclusively to people who do not ask the price.

One idea, executed well: show which wallets in a token are connected, and let the picture make the argument.

Exchange reserve and miner flow data at a fraction of Glassnode's price, with a looser methodology to match.

The reference source for Bitcoin on-chain metrics, with methodology notes most competitors do not bother to write.

The closest thing crypto has to standardised financial reporting, sold at research-terminal prices.

The most developed social-sentiment dataset in crypto, measuring something inherently slippery.

Capable automation from a company whose 2022 API key leak is exactly the disaster this category risks.

Approachable automation with a strategy marketplace that is mostly a marketing channel for signal sellers.
Score = Σ (mark × weight), rounded to 0.1. A criterion with nothing published scores 0.
A trading tool's only job is to be right. A charting package that mislabels a wick, an analytics dashboard that counts the same wrapped asset twice, or a screener fed by exchange-reported volume will cost you more than its subscription. So accuracy carries the most weight here, and we check headline figures against primary sources — block explorers, exchange APIs, protocol contracts — rather than against another dashboard.
Price is scored on the tier that actually does the job. Most tools in this sector run a free plan that exists to demonstrate what you are missing; we score the cost of the plan a serious user would need, and we say when the free tier is genuinely sufficient.
Analytics tools ask for a lot: exchange API keys, wallet connections, portfolio uploads. We check whether read-only keys are requested where read-only is enough, whether withdrawal permissions are ever demanded, and what a vendor breach would expose. Tools that ask for more access than their features require lose marks regardless of how good the charts are.
We do not evaluate trading signals, bot performance or backtested returns. Past results in this sector are unverifiable and routinely manipulated, and any number we published would be laundering someone else's marketing.