01 — Overview
The next evolution in asset monitoring
Monitoring 2.0 represents the next evolution of Messari's industry-leading Intel product. This enhancement transforms the existing Intel experience into a premium, agentic surveillance platform that surfaces only high-signal crypto events—early, contextualized, and only when it matters.
02 — Problem Space
Monitoring was broken at scale
The existing Intel experience consisted only of tables without surfacing the most critical information to users. There was no unified dashboard, no prioritization of action-required items, and no agentic capabilities to filter noise.
Noisy
Firehose
alert fatigue, missed signals
Binary Keyword Alerts
false positives / missed nuance
Unverified Rumors
either ignored (late) or acted on (wrong)
Slow
Distribution
the right person sees it too late
Before
After
Key Insight
The core tension wasn't about showing more data — it was about showing the right data at the right time, with enough context to act. This meant the AI couldn't just filter; it needed to explain why something mattered.
03 — Solution — Onboarding
Multiple paths into monitoring: templates, simple setup or AI
Instead of forcing users through a complex configuration wizard, I designed two entry points: pre-built templates organized by category (Governance, Security, Regulatory, etc.) and an "Agentic Monitoring" path where AI assembles views based on the user's watchlist and intent.
Before - Legacy conditions builder
After - Start with a template or create a custom view (below)
04 —Solution — AI Features
Clarity and efficiency with AI
By leveraging Messari’s internal AI tooling, we expanded coverage from a limited set of assets to thousands—unlocking a much broader view of the market. With that scale, clarity became critical. We introduced explicit labeling to distinguish human-verified events from AI-detected ones, giving users the context they need to assess risk with confidence. For additional control, users can filter out unverified (“developing”) events entirely.
This foundation enables our flagship experience: AI-powered Agentic Views. Users describe what they want to monitor in natural language, and the system automatically configures a view that surfaces and categorizes relevant events in real time. Complementing this, AI-generated 7-Day Recaps synthesize patterns and trends across events, helping users quickly understand what matters without manual analysis.
06 — Solution — Event Intelligence
From raw event to actionable intelligence
The individual event page was designed as a living timeline — not just a snapshot. Each event shows a chronological feed of updates, AI-generated impact analysis with related charts, and linked documentation. The "Dig Deeper" action bridges monitoring into Messari's research tools.
Before
After