Metrika

At the start of #Consensus2025 by @CoinDesk
in #Toronto 🇨🇦, we're excited to share a major milestone for @metrikaco and the future of tokenized finance.

We’ve successfully completed a proof-of-concept with @SPGlobalRatings to develop a real-time risk framework for evaluating #tokenized assets across multiple blockchains, with a focus on a tokenized money market fund.

Read more:
blog.metrika.co/metrika-and-s-…

We're honored to be named to the Chartis Research 𝐑𝐢𝐬𝐤𝐓𝐞𝐜𝐡𝟏𝟎𝟎® 𝟐𝟎𝟐𝟔 as a '𝐎𝐧𝐞𝐬 𝐭𝐨 𝐖𝐚𝐭𝐜𝐡' in the newly established 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐀𝐬𝐬𝐞𝐭 𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐑𝐢𝐬𝐤 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 category.

The #RiskTech100 — alongside companies like Moody's Corporation, S&P Global, ServiceNow, Nasdaq, Bloomberg, FIS and many others — is widely regarded as one of the most comprehensive independent assessments in global #RiskTech. The introduction of this dedicated digital asset category signals a pivotal moment: traditional finance now recognizes that #DigitalAssets require specialized Risk Management frameworks.

This recognition validates our mission to bring institutional-grade rigor to digital asset #RiskManagement.

𝐖𝐡𝐚𝐭 𝐑𝐞𝐚𝐥𝐥𝐲 𝐇𝐚𝐩𝐩𝐞𝐧𝐞𝐝 𝐨𝐧 𝐂𝐫𝐲𝐩𝐭𝐨'𝐬 “𝐁𝐥𝐚𝐜𝐤 𝐅𝐫𝐢𝐝𝐚𝐲”

On Friday, October 10, major tariff news triggered a market sell-off that exposed something critical about #Layer2 infrastructure.

Within hours, forced liquidations flooded #Ethereum, spiking transaction fees from under $1 to over $100.

That congestion created a data availability bottleneck that propagated across #Base, #Arbitrum, and #Optimism simultaneously.

𝐓𝐡𝐞 𝐍𝐮𝐦𝐛𝐞𝐫𝐬:

Base finalization times: ~14 mins → 30-50 mins
Optimism finalization times: ~16 min → 90+ min
Arbitrum: Similar degradation, stretching above 70 mins

Across all three, finalization-time spikes tightly correlate with L1 gas and blob-fee anomalies, suggesting that L1 congestion amplified each network’s internal load.

While no major outages occurred and sequencers continued producing blocks, settlement reliability degraded significantly.

𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐌𝐚𝐭𝐭𝐞𝐫𝐬 𝐟𝐨𝐫 𝐅𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐢𝐨𝐧𝐬:

This wasn't a failure, it was designed behavior under stress. However, for financial institutions integrating with L2s, it reveals something crucial:

✓ Operational controls aren't optional
✓ Finality ≠ Uptime
✓ Shared infrastructure = Correlated risk

𝐓𝐡𝐞 𝐑𝐢𝐬𝐤 𝐌𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠 𝐋𝐞𝐬𝐬𝐨𝐧:

Macro shocks don't just move prices. They can propagate into settlement layers. Ethereum fee spikes should be treated as settlement-risk events, with real-time monitoring integrated into institutional risk frameworks.

At Metrika, our platform surfaced this episode through finalization time tracking, blob posting analysis, and L1 fee correlation. Exactly the kind of observability financial institutions need as they scale on-chain.

#DigitalAssets #RiskManagement #Ethereum #L1 #Layer1 #L2 #Blockchain #FinancialServices

🚨 𝗣𝗼𝘀𝘁 𝗠𝗼𝗿𝘁𝗲𝗺: 𝗣𝗼𝗹𝘆𝗴𝗼𝗻 𝗣𝗼𝗦 𝗙𝗶𝗻𝗮𝗹𝗶𝘁𝘆 𝗜𝗻𝗰𝗶𝗱𝗲𝗻𝘁 - 𝗦𝗲𝗽𝘁𝗲𝗺𝗯𝗲𝗿 𝟭𝟬, 𝟮𝟬𝟮𝟱

The recent @0xPolygon network incident serves as a critical reminder for financial institutions about blockchain risk monitoring.

𝗪𝗵𝗮𝘁 𝗛𝗮𝗽𝗽𝗲𝗻𝗲𝗱:

• Transaction finality delays of between 15 minutes and up to 1 hour in transaction finality
• A consensus milestone bug affected #Bor block producer and #Heimdall implementation
• Emergency hard fork deployed hours after to resolve the issue
• Exchanges, DeFi protocols, and dApps requiring instant finality had to halt operations

𝗛𝗼𝘄 𝗠𝗲𝘁𝗿𝗶𝗸𝗮 𝗗𝗲𝘁𝗲𝗰𝘁𝗲𝗱 𝘁𝗵𝗲 𝗥𝗲𝗮𝗹 𝗜𝗺𝗽𝗮𝗰𝘁:

While standard uptime monitoring showed the chain as "operational," the Metrika platform captured critical signals:

✅ Finalization Time: Spiked to almost 1 hour
✅ Block Interval Time: Nearly doubled with high volatility

𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆 𝗳𝗼𝗿 𝗜𝗻𝘀𝘁𝗶𝘁𝘂𝘁𝗶𝗼𝗻𝘀:

Finality—the assurance that transactions are irreversible—is critical for safeguarding against risks like double-spending or transaction rollbacks. Delays in finality can impact settlement reliability, liquidity management, and customer trust.

Standard "uptime" metrics aren't enough.

Financial institutions need:

🔍 Real-time consensus behavior monitoring
⚠️ Robust alerting for finality deviations
⏸️ Ability to pause operations when finalization times exceed norms

This incident highlights why comprehensive blockchain risk monitoring goes beyond basic network status checks. When settlement reliability and customer trust are on the line, you need visibility into the metrics that truly matter.

Read more in in our blog post below👇

#BlockchainRisk #FinTech #Polygon #RiskManagement #DeFi

🔍 𝗕𝗮𝘀𝗲 𝗡𝗲𝘁𝘄𝗼𝗿𝗸'𝘀 "𝟯𝟯-𝗠𝗶𝗻𝘂𝘁𝗲 𝗢𝘂𝘁𝗮𝗴𝗲" - 𝗪𝗵𝗮𝘁 𝗥𝗲𝗮𝗹𝗹𝘆 𝗛𝗮𝗽𝗽𝗲𝗻𝗲𝗱?

On Aug. 5th, Base's status page reported a "halted block production" issue for 33 minutes.

But here's what most monitoring missed:

The chain never actually stopped. Blocks continued every ~2 seconds as normal.

The real issue? Blocks were empty of user transactions due to a sequencer failover bug in the OP Stack's Conductor system.

𝗪𝗵𝘆 𝗧𝗵𝗶𝘀 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 𝗳𝗼𝗿 𝗥𝗶𝘀𝗸 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴

Although basic uptime tools indicated "100% availability," users were unable to transact.

This is exactly why comprehensive risk monitoring beats binary status checks.

At Metrika, our platform immediately flagged the real impact through 𝟯 𝗞𝗲𝘆 𝗥𝗶𝘀𝗸 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀:

𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗣𝗲𝗿 𝗦𝗲𝗰𝗼𝗻𝗱 → collapsed to near zero
𝗧𝗿𝗮𝗻𝘀𝗮𝗰𝘁𝗶𝗼𝗻𝘀 𝗣𝗲𝗿 𝗕𝗹𝗼𝗰𝗸 → dropped to system-only
𝗕𝗹𝗼𝗰𝗸 𝗦𝗽𝗮𝗰𝗲 𝗨𝘁𝗶𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 → fell to minimal levels

𝗧𝗵𝗲 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆: "𝗨𝗽𝘁𝗶𝗺𝗲" ≠ "𝗨𝘀𝗲𝗿 𝗜𝗺𝗽𝗮𝗰𝘁"

Real-time network health monitoring that tracks actual transaction flow would have instantly alerted teams to the user-facing problem, not just chain status.

This was Base's second major incident since 2023, highlighting why Layer 2 networks need monitoring that goes beyond surface-level metrics.

Read more in in our post-mortem blog post below👇

#DigitalAsset #RiskManagement #Metrika #Base #Blockchain #RiskMonitoring #Layer2