Envio vs Bloom

Overview

Envio Envio is a blockchain data indexing platform that turns on-chain events into queryable APIs, with native support for Solana alongside EVM-compatible chains and Fuel. Its pitch is fast, multichain inde... Bloom Bloom is an AI-powered Solana trading bot that uses machine learning to assist traders with token analysis, trade execution, and portfolio management. It represents the newer generation of trading too...

Community Ratings

Bloom is rated higher by the MadeOnSol community with 4.0/5 stars across 4 reviews, compared to 0.0/5 for Envio (0 reviews). That said, ratings only tell part of the story — what matters most is which tool fits your specific workflow.

Pricing & Value

Envio uses a freemium model, while Bloom is freemium. Both offer free tiers with paid upgrades, so try each before committing to a paid plan.

Key Features

Envio offers 5 features including TypeScript event handlers with auto-generated GraphQL APIs, HyperSync high-throughput data retrieval layer, HyperRPC read-only JSON-RPC endpoint, and 2 more. Bloom counters with 8 features including AI-powered token analysis with risk assessment and sentiment detection, Telegram-based trading with quick swap execution, Machine learning-assisted trade recommendations, and 5 more. The right choice depends on which specific features matter for your use case — check the individual review pages for full breakdowns.

Reliability & Health

We monitor both tools around the clock for uptime, SSL validity, and response times. Envio currently has a healthy health status with 100.0% uptime over the last 30 days. Bloom is rated healthy with 100.0% uptime. For any tool you trust with your funds, trades, or yield, uptime and speed are non-negotiable.

Strengths

Envio's key strengths include native solana plus broad evm and fuel chain support, fast historical backfill and low-latency live indexing, flexible self-host or managed-cloud deployment options. Bloom stands out for ai analytics provide additional insight layer beyond basic trading features, comprehensive token analysis combines on-chain, social, and technical data, growing ai capabilities may improve over time as model training advances.