A Look at Web3 Blockchain Intelligence Platforms: What...

Web3 Blockchain Intelligence Platforms Compared: Features and Trade-Offs

In 2025, decision-makers have an abundance of options at their fingertips. Blockchain intelligence has really evolved and now covers everything from compliance and investigations to growth analytics and real-time security monitoring. This guide takes a closer look at the top platforms, highlighting what they’re capable of today, where they excel, what they might lack, and how you can put together a practical stack that delivers quick results.

TL;DR (Meta description)

Here's a practical comparison of blockchain intelligence platforms that are gearing up for 2025--covering Chainalysis, TRM Labs, Elliptic, Nansen, Arkham, Dune, Glassnode, Coin Metrics, Bitquery, Crystal, Scorechain, and Forta. We’ll dive into their features, the chains they cover, any recent updates, trade-offs, and deployment trends you can start using right away. Check out Chainalysis here.

The three jobs of “blockchain intelligence” in 2025

Compliance and Investigations: We're talking about AML/KYC/KYT, doing some thorough sanctions screening, figuring out entity attribution, and digging into court-tested tracing. Plus, don’t forget about indirect exposure and the Travel Rule! Some great platforms to check out in this space are Chainalysis, TRM Labs, Elliptic, Crystal, Scorechain, and Merkle Science. You can dive deeper here: (chainalysis.com).
Growth and Market Intelligence: Need to label wallets at scale or keep tabs on cohort behavior? How about tracking DeFi/NFT flows or your competitors? There’s also treasury exposures and some seriously nifty API-grade data to consider. For all these needs, take a look at Nansen, Arkham, Dune, Glassnode, Coin Metrics, and Bitquery. Get started here: (docs.nansen.ai).
Runtime Security Monitoring: This is where things get real with decentralized detectors, attack signals, and automated containment measures. Check out Forta for detectors and OpenZeppelin Defender for incident response. You can learn more about how it all works here: (docs.forta.network).

Why this matters: investigations are becoming more complex, covering multiple chains, mixers, bridges, and DEX paths. The OFAC’s Sinbad designation really highlighted the need to recognize cross-chain laundering patterns that are crucial to detect right now. (home.treasury.gov)

What’s materially changed lately (so your 2022 RFP is outdated)

Chain breadth at the higher end has really taken off lately. According to Chainalysis, their KYT now keeps an eye on over 400 networks and more than 50 million tokens, sending out real-time alerts in just seconds. Meanwhile, TRM has switched to a tiered coverage system (Standard vs. Enhanced), and by November 2025, they’re reporting coverage of 133+ networks overall. Elliptic has also upped their game, now covering 50+ blockchains and over 250 bridges with cross-asset tracing. (chainalysis.com)
Growth analytics are really coming into their own: Nansen’s Query and API have expanded across 20+ chains with new ones added regularly (think Bitcoin, Scroll, Linea, Base, TON, Monad, Hyperliquid, and more). Dune is boasting coverage of 100 chains along with a multichain Echo API. Arkham has rolled out some cool AI “Insights,” brought in features for exchange flows, and now has customizable dashboards plus an Intel marketplace for bounties. Glassnode has also diversified, stepping into multi-asset derivatives with IV/skew and treasury metrics. (release.nansen.ai)
Security monitoring has gone live: Forta’s Attack Detector 2.0, teamed up with BlockSec and Nethermind, now integrates with Defender to automatically trigger pause actions when there’s an exploit happening. OpenZeppelin has announced that their hosted Defender will be phased out by July 1, 2026, as they focus on open-source Monitor/Relayer--so make sure to plan for that transition. (forta.org)
The vendor landscape is changing: Mastercard announced in March 2024 that they’ve shut down several CipherTrace products (like Armada, Inspector, and Sentry). If you’re still using these, it might be time to take a hard look at your current setup. (fortune.com)

Compliance and Investigations: strengths and trade-offs

Chainalysis

Where it shines
- KYT really stands out when it comes to scalability with alerting in just seconds. It offers comprehensive entity graphing and can trace transactions across various bridges, mixers, and DEX paths. Plus, they provide a free sanctions screening API, which is a fantastic perk. The Storyline and Reactor workflows are popular tools among regulators and exchanges. They've got an impressive coverage claim too--covering over 400 networks and more than 50 million tokens! (chainalysis.com)
Trade-offs to weigh
- Just a heads up, the pricing can be on the higher side. Also, keep in mind that they have a closed data model. While that’s super beneficial for compliance purposes, it might feel a bit restrictive if you’re looking for flexibility with custom data science compared to what raw-data vendors offer.

Practical example: When your exchange adds a new XRPL token or a Plasma L1 asset, KYT automatically picks up the token standards (like XLS-20/MPT for XRPL and ERC-20/721 for Plasma). This means you won’t have to sit around waiting for manual token onboarding. (chainalysis.com)

TRM Labs

Where it shines
- The tiered chain coverage (Standard/Enhanced) makes it super clear what you’re getting for each chain. You’ll notice some quick and broad additions like Hyperliquid, Sui, Sei, Canton, XRPL EVM, Katana/Polygon 2.0, and XDC, just to name a few! They’ve also got universal wallet screening that spans over 90 chains already, with plans to push past 100! Plus, there's the Beacon Network that helps coordinate real-time responses to crime across exchanges and law enforcement. (trmlabs.com)
Trade-offs
- One thing to keep in mind is that the enhanced tracing depth isn’t the same across all chains, so make sure to check if a target chain is categorized as Enhanced or Standard before you go live.

Practical Example

Imagine a fraud ring that's moving funds through TON, then Hyperliquid, and finally Base. Even with standard support, we can still spot ownership and counterparty issues, as well as any severe or high-risk indirect exposure. But when we kick it up a notch with enhanced chains, we get into some serious detective work in the Forensics/Triage department.

For more details, check out this link: trmlabs.com.

Elliptic

Where it shines
- It really stands out with its comprehensive screening across more than 50 blockchains and over 250 bridges. Plus, their large-scale monthly screenings and a whopping 52B+ relationship graph highlight how well it detects cross-asset activities through swaps, bridges, and coinswaps. You can check it out at (ellipticscreener.com)!
Trade-offs
- Just a heads up--there's some overlap in the entity catalog with competitors, and it can vary a bit. So, it’s a good idea to run POCs based on your specific needs (like testing for cross-bridge laundering via Aurora/Solana) to see how they perform in terms of recall and precision.

Elliptic's data from 2025 shows that a whopping 20% of complex cases involved more than 10 different chains. This is pretty much aligned with what a lot of compliance teams are noticing now that we’ve entered the post-bridge era. You can check out more about it here.

Crystal Intelligence (Bitfury)

Where it shines
- Crystal's got a solid presence in Europe and is gaining traction with regulators. Back in November 2025, they brought in the XDC Network, which focuses on trade finance and real-world assets. This is pretty handy for banks that are looking into tokenized Treasuries, trade assets, or even gold-backed tokens. Check out more details here.
Trade-offs
- On the flip side, Crystal isn’t as globally recognized as the “big three” in the space. So, it’s a good idea to keep an eye on the label depth for those long-tail DeFi and NFT protocols that you’re tracking.

Scorechain

Where it shines
- This EU-based compliance platform really stands out with its KYA/KYT reporting features, Travel Rule integrations, and boasts an impressive claim of covering 100 chains and over 1 billion labeled entities. Plus, it has a user-friendly interface and offers audit-ready exports. (scorechain.com)
Trade-offs
- You might want to keep an eye on the freshness of labels for newer L2/Appchains and the indirect exposure logic, especially when stacking it up against some of the bigger US vendors.

Merkle Science

Where it shines
- It has a solid predictive, behavior-based risk engine, and you can track cross-chain investigations with a handy split-view for EVM/TRON. Plus, they keep rolling out UI/monitoring updates, and they’re really expanding in the APAC region. (merklescience.com)
Trade-offs
- Just a heads-up: the coverage depth for some of the smaller ecosystems might not match up to the bigger players. So, it's a good idea to double-check the bridge coverage for your attack surface.

Regulatory Note to Keep in Mind

Just a heads-up: OFAC's 2023 Sinbad.io designation (and the actions that followed) is a major example of the “mixers-after-bridges” typology. So, it’s important to ensure your vendor flags things like Atomic Wallet, Ronin, Horizon flows, and multi-hop BTC tumbling in line with that case. You can check out more details here.

Growth and Market Intelligence: who helps you move faster

Nansen

What’s new
- We've got over 20 chains in Query and we're adding more all the time! You'll find support for Bitcoin, Scroll, Linea, Base, TON, Hyperliquid, Monad, Plasma, Starknet, Sei, Ronin, and Unichain. Plus, we’ve rolled out some cool dashboards like “Smart Money,” Profiler, and Token God Mode. In September 2025, our Portfolio coverage expanded to include over 30 protocols, including EigenLayer, Jito, Marinade, and Uniswap v2-v4 across major L2s. Check it out here: (docs.nansen.ai)
Best for
- It's perfect for GTM, competitor tracking, ecosystem growth, and keeping investor relations in check--just not the best fit for those court-grade investigations.

Arkham Intelligence

What’s new
- We've rolled out some exciting features! Check out the Intel Marketplace (bounties), AI Insights on entity pages, the “Oracle” Q&A, improved Exchange flows, dashboards, and a tracer/visualizer. Plus, there's now an API for attribution powered by our “Ultra” engine. Recently, we’ve been making strides in uncovering wallets linked to major treasuries and ETPs. (codex.arkm.com)
Best for
- This is perfect for those who need quick attribution and real-time alerts on high-value entities, whales, exchange flows, and transparent dashboards that are ready for public relations use.

Caveat: Intel-to-earn bounties are super useful, but keep in mind they might not hit those evidentiary standards you need. Use Arkham for diving into discoveries, and make sure to back it up with a compliance-grade tool before making any moves on attributions. (altcoinbuzz.io)

Dune

What’s new
- We’ve got 100-chain coverage and an Echo API just for developers! Plus, there’s a huge community of analysts to tap into. Now you can get the quickest access to multichain dashboards without having to set up your own warehouse. Check it out here: (dune.com)
Best for
- Ideal for BI teams looking to create recurring dashboards and collaborate on community queries across new Layer 2s and appchains.

Glassnode

What’s new
- We’ve boosted our entity-adjusted metrics to cover more than just BTC and ETH! Now we’ve got new derivatives IV and skew indices for BTC, ETH, SOL, XRP, BNB, and PAXG. Plus, we’re rolling out treasury metrics for companies and governments focused on all the major assets. And don’t forget about the PiT variants for that near-real-time analysis. Check it out here: (docs.glassnode.com)
Best for
- It’s a great fit for macro research, investor reporting, and quant inputs--complete with transparency on our methodology.

Coin Metrics

What’s new
- Network Data Pro now includes over 200 assets, featuring a consistent schema and high-integrity timeseries for all your risk, quant, and custodial reporting needs. Check it out here: (gitbook-docs.coinmetrics.io)

Bitquery (raw data backbone)

What it does
- It offers pre-indexed GraphQL, streaming/Kafka feeds, and on-demand data across more than 40 blockchains. You can expect sub-second responses even for complex queries. Plus, it features the MoneyFlow tool, which is super handy for investigators. It's a fantastic option to power internal models when you need those raw, enriched tables. Check it out here!

Runtime Security Monitoring: detect and react, automatically

Forta Network: This is where decentralized “detection bots” and scan nodes come into play. They’re constantly publishing alerts about exploits, weird events, and protocol risks across major chains. Recently, they launched the Attack Detector 2.0 premium feed in partnership with BlockSec and Nethermind. Check it out here.
OpenZeppelin Defender: This tool now integrates Forta alerts, allowing for automatic pause and mitigation actions. They're currently working on migrating to an open-source Monitor/Relayer, and just a heads-up, the hosted Defender will be phased out by July 1, 2026. Be sure to budget for this in your 2025-2026 roadmaps. You can find more details here.

Example Playbook

Subscribe to Forta Attack Detector in Defender: First off, get yourself set up with the Forta Attack Detector in Defender. You’ll want to keep an eye on any potential threats.
Monitor Alerts: When an alert ID pops up that matches those high-confidence exploit signatures, it’s time to take action.
Auto-Execute: Automatically trigger a safe, pre-approved pause function. Just make sure you’re using multi-sig approvals for that extra layer of security.
Add Flashbots Protection: Don’t forget to include Flashbots protection to help shield yourself from any nasty surprises.

For more details, check out this post on forta.org.

Side-by-side: when to pick which (real-world patterns)

Regulated exchange in the U.S. and EU
- For real-time alerting and indirect exposure, lean on Chainalysis KYT/Reactor or TRM Transaction Monitoring/Forensics. If you're looking to dive deep into cross-asset or bridge depth, Elliptic's your go-to for second-source screening. Just remember to validate your findings against the mixer/bridge cases from 2023-2025--think Sinbad, Tornado, and Blender-linked patterns. (chainalysis.com)
Bank piloting on-chain RWAs and stablecoin settlements
- Combine a compliance tool like Crystal for XDC visibility with a solid market data layer--Glassnode or Coin Metrics will do the trick. Also, throw in Nansen to keep an eye on ecosystem counterparties. Don’t forget to look into the implications of card-rail/stablecoin policy separately, especially with Mastercard's stablecoin enablement stack making waves. (crystalintelligence.com)
DeFi protocol needing 24/7 exploit response
- Use Forta + Defender to set up your alerts-to-actions. It’s also a good idea to layer in a compliance view; TRM Standard chain coverage usually suffices for a solid triage. And hey, plan your migration off hosted Defender before July 2026 to stay ahead of the game. (forta.org)
Treasury/IR team tracking competitor wallets, exchange flows, and market microstructure
- For tracking “who is buying/selling,” Nansen's where it’s at. Arkham provides entity dashboards and whale alerts, while Glassnode gives you the macro on-chain and derivatives insight. And don’t sleep on Dune for internal dashboards that cover your chain set. (nansen.ai)

Evaluation checklist (stuff that changes outcomes)

Chain coverage with a little more detail
- Don’t just ask if they’re “supported.” Check if it’s Standard or Enhanced (TRM), and find out which features are available for each chain (like tokens, NFTs, DEX, bridges, and L2 messaging). Make sure to request the chain coverage document and see when it was last updated. (trmlabs.com)
Data latency and alert SLAs
- You’ll want to shoot for screening in seconds and alerts within a minute for the chains you pick. Chainalysis mentions seconds-level for KYT--use that as a benchmark for others. (chainalysis.com)
Indirect exposure logic
- How well does the tool track hops until it identifies a service? Can you set caps or weight exposures based on category? Chainalysis lays this out, so make sure to test similar options with their competitors. (chainalysis.com)
Bridges and coinswaps detection
- Elliptic offers some solid cross-asset screening (covering DEX, coinswaps, bridges) with over 250 bridges--make sure to simulate your obfuscation scenarios. (ellipticscreener.com)
Training and collaboration
- Check out the TRM Academy courses (TON, TRON, Solana) to get your teams up to speed quickly; working together on casework can really speed up seizures. (trmlabs.com)
Exportability and APIs
- If you need to do some internal modeling, think about pairing your “black box” tool with Bitquery or Dune Echo for raw data; also, take a look at the Arkham API if you're focused on attribution surfacing. (bitquery.io)
Vendor stability signals
- Keep an eye on product sunsets and changes (like CipherTrace halting some key products in 2024); it's smart to plan your contingencies ahead of contract renewals. (fortune.com)

Emerging best practices we see winning in 2025

Two-vendor triangulation for critical actions
- Think about using one compliance-grade platform as your “system of record” and then pairing it with a second one, like Elliptic or TRM/Chainalysis, to double-check any red flags before you decide to freeze anything. This approach really helps cut down on false positives, especially when cross-chain hops make it tough to track the provenance. You can check out more about it here.
SOC with on-chain runtime signals
- It’s a good idea to plug Forta alerts into your SIEM and set up some Defender playbooks. Don’t forget to run tests every month against recorded attack simulations. You can find the details here.
Label QA and golden datasets
- Keep a set of internal “golden labels” for those high-risk entities you notice frequently. Make it a point to compare vendor labels every quarter. If you see big differences, raise some tickets and tweak your rules.
Scenario-driven POCs, not laundry-list RFPs
- Focus on four key scenarios: (1) exposure to sanctioned mixers through cross-chain hops, (2) laundering of bridge exploit proceeds, (3) cash-outs from social-engineering scams, and (4) screening RWA chain counterparties (like XDC participants). Rate the tools based on how quick they are to provide answers and their false-positive rates. For more info, check out this link: home.treasury.gov.
Real-time BI for GTM
- Use Nansen or Arkham to keep tabs on exchange flows, whale movements, and protocol adoption, while Dune can help you create self-serve dashboards across multiple chains. Glassnode and Coin Metrics are great for keeping the board in the loop with reliable timeseries data. You can explore more here.

A pragmatic reference stack (startups → enterprises)

Compliance core
- Option A: Chainalysis KYT + Reactor; Option B: TRM Transaction Monitoring + Forensics. Don’t forget to layer in Elliptic Screening if you really need visibility on bridges or coinswaps. (chainalysis.com)
Data backbone
- For internal models and case enrichment, Bitquery’s GraphQL/streams are your go-to. If you're looking for something more hands-off, Dune Echo provides managed, analytics-ready multichain data. (bitquery.io)
Growth intelligence
- Check out Nansen (Smart Money/Profiler/Query) alongside Arkham (AI Insights, whales, dashboards) for some serious insights. (docs.nansen.ai)
Runtime security
- Keep an eye on Forta Attack Detector 2.0 paired with Defender for incident response. And just a heads up, there's a plan to switch to the open-source Monitor/Relayer before July 1, 2026. (forta.org)

Implementation blueprint (30/60/90 days)

0-30 days
- Start by defining the chain footprint and identifying the top 10 risk typologies. Narrow it down to two compliance vendors and one data backbone. Don't forget to subscribe to Forta feeds! You’ll also want to set up either a Dune workspace or Bitquery streams. (docs.forta.network)
31-60 days
- It's time to run some scenario proof of concepts (POCs) like mixer, bridge, scam, and real-world assets (RWA). You’ll want to set up alert pipelines that respond in seconds. Deploy Nansen or Arkham dashboards for PMM and BD, and kick off the Defender playbooks for auto-pause. (nansen.ai)
61-90 days
- Now, let’s get serious about productionizing your Know Your Transaction (KYT) and case workflows. Draft those regulator-facing standard operating procedures (SOPs), establish a quarterly label quality assurance (QA) process, and start documenting your Defender migration plan for 2026. (chainalysis.com)

Platform-by-platform quick notes (gotchas to test)

Chainalysis: Make sure to validate those indirect exposure thresholds on noisy chains, and double-check that token auto-support is confirmed for the networks you’re focusing on next (like XRPL XLS-20/MPT and Plasma EVM). You can read more about it here.
TRM Labs: If you’re looking for in-depth entity analytics, confirm if your target chain is “Enhanced.” Joining the Beacon Network can really speed up those interrelations with exchanges. Get the details here.
Elliptic: For those of you dealing with aggressive cross-asset obfuscation in your risk profile, Holistic Screening’s bridge/coinswap/DEX modeling will set you apart--definitely worth testing on your flows. More info is available here.
Crystal: If you're experimenting with trade-finance RWAs, the XDC integration is super handy for gaining visibility on counterparties. Check it out here.
Scorechain: They’ve got a solid track record in the EU and their Travel Rule workflows are pretty reliable; make sure to verify the coverage for your long-tail L2s. Find out more here.
Merkle Science: Their split-view investigation interface is a lifesaver for analyzing dense EVM/Tron graphs; also, make sure to check their bridge catalog and token heuristics relevant to your sectors. More details can be found here.
Nansen: They're definitely quick on market-facing insights, with features like Smart Money and Token God Mode; plus, their coverage is expanding to more chains (think Bitcoin, Scroll, Linea, TON, Hyperliquid). Check out what's new here.
Arkham: With AI insights and their Intel marketplace, discovery processes are way faster; just remember to treat attributions as leads and verify them for compliance. Get more info here.
Dune: Covering 100 chains means your BI team can standardize using a single surface; their Echo API makes DIY data plumbing a lot easier. Learn more here.
Glassnode & Coin Metrics: Combining these two is a great way to create investor-grade narratives, thanks to entity-adjusted flows, derivatives microstructure, and reliable coverage across 200+ assets. More details can be found here.
Bitquery: If you’re working on your internal risk models, using GraphQL with streaming will save you a ton of time compared to building your own indexers. Check it out here.
Forta + Defender: Pairing detection with automated mitigations is a smart move; just remember to budget some time for transitioning to open-source. More insights are available here.

Final word: assemble for outcomes, not features

For many startups and big companies looking to hit the mark in 2025, here's the go-to setup:

A solid compliance engine like Chainalysis or TRM,
An additional screener focused on cross-assets or bridges, typically Elliptic, for that extra layer of validation,
A combo of growth analytics tools like Nansen and Arkham, paired with a reliable data backbone such as Bitquery or Dune Echo,
Plus, don't forget Forta and Defender for real-time detection and automated containment.

This stack really tackles the tough stuff that comes with modern crypto crime--think mixers, bridges, and L2s--while also juggling the expectations for go-to-market strategies and keeping investors in the loop. Plus, it’s built to respond in seconds instead of dragging it out for hours. If you’re looking for some support on running scenario-driven bake-offs, crafting Forta/Defender playbooks, or putting together a solid data backbone without the need to overstaff, 7Block Labs is here to help. We can fast-track your first 90 days and help you gear up for a smooth and organized 2026. (home.treasury.gov)

References (selected)

OFAC just designated Sinbad on November 29, 2023. You can check out the details here.
Chainalysis is stepping up with its KYT capabilities and coverage. Find out more about it here.
TRM Labs has new coverage tiers and some exciting expansions, plus the Beacon Network. Get all the info here.
Elliptic is rolling out their Holistic Screening across 50+ blockchains. Check it out here.
Nansen is expanding on chain coverage with some recent additions. You can dive into the details here.
Arkham has made some cool updates to its platform features. Discover what's new here.
Dune now boasts 100-chain coverage. Learn more about it here.
Glassnode is gearing up for some 2025 feature releases and has rolled out entity-adjusted docs. Find the updates here.
Coin Metrics has its Network Data Pro coverage available. All the details are here.
Bitquery has launched its API and various products. Check them out here.
Crystal has added XDC for RWA analytics, expanding their capabilities. Read more about it here.
Scorechain has got a solid platform and coverage. Find out what they offer here.
Forta has integrated with Defender and shared its deprecation timeline. You can find all the specifics here.