Tokamai

Tokamai is a runtime monitoring and error-detection platform built specifically for Solana programs. It gives on-chain developers continuous visibility into how their programs behave in production, surfacing errors and anomalies before users encounter them — filling a gap that no dedicated tool previously addressed on Solana.

The Problem

Solana program developers have historically had no native, purpose-built observability layer. When something goes wrong in a deployed program, the typical workflow is reactive: users report errors in Discord, developers manually search block explorers for failed transactions, and by the time the issue is diagnosed the damage — in user experience, funds, or protocol reputation — has already occurred. This gap persisted even as Solana's on-chain program ecosystem scaled dramatically through 2024.

What Tokamai Does

Tokamai describes itself as a "runtime audit for Solana" and self-identifies as the first and only program monitoring platform in the Solana ecosystem. The core product runs continuous, automated monitoring against live Solana programs, watching for errors, anomalies, and unexpected behavior across on-chain instruction executions.

When a program error occurs, Tokamai triggers real-time alerts so development teams can respond immediately rather than waiting for user reports. The platform is designed to compress the detection-to-remediation cycle: developers receive structured error data, can analyze root causes within the platform, and push fixes faster than the old manual explorer workflow allowed.

The product is positioned as the Solana equivalent of Sentry, the widely used Web2 application performance monitoring and error-tracking tool. Just as Sentry instruments backend and frontend applications to capture exceptions and traces, Tokamai instruments on-chain Solana programs to capture runtime failures and deliver actionable diagnostic data to developers.

Key Features

• Continuous runtime monitoring: Programs are watched in production on an ongoing basis, not just during test phases.
• Preemptive error detection: Designed to surface issues before they propagate to a significant portion of users.
• Real-time alerts: When an error or anomaly is detected, developers receive immediate notification with relevant context.
• Anomaly detection: Identifies behavioral anomalies that may indicate exploits or edge-case failures, including patterns without known names or signatures.
• Fast remediation workflow: Error data is structured to support rapid analysis and fix deployment.

Recognition and Backing

Tokamai won second place in the Infrastructure Track of the Solana Radar Hackathon, run by Colosseum — the largest crypto hackathon to date, with more than 10,000 participants and 1,359 final submissions. Following the hackathon, Tokamai was selected for Colosseum Accelerator Cohort 2, a competitive 8-week program accepting 13 startups from the Radar winner pool, running from devnet to mainnet and concluding with a private investor demo day.

Token and Audit Status

Tokamai has not announced a token. No independent security audit has been publicly disclosed.

Team

The Tokamai team is based in France and operates under the handle @gotokamai on X. No individual team member names have been publicly disclosed through official channels.