SAID Protocol vs SendAI

Overview

SAID Protocol SAID Protocol provides on-chain identity and reputation for AI agents, using Solana Program Derived Addresses (PDAs) to give each agent a verifiable, persistent identity. As autonomous agents prolifer... SendAI SendAI (formerly Solana Agent Kit) is an open-source framework that connects AI agents to the Solana ecosystem with 50+ pre-built actions across 30+ protocols. Compatible with ElizaOS, LangChain, Verc...

Community Ratings

SendAI is rated higher by the MadeOnSol community with 5.0/5 stars across 1 review, compared to 0.0/5 for SAID Protocol (0 reviews). That said, ratings only tell part of the story — what matters most is which tool fits your specific workflow.

Pricing & Value

SAID Protocol uses a free model, while SendAI is free. Both tools are free, so cost isn't a deciding factor — focus on features and reliability instead.

Key Features

SAID Protocol offers 5 features including On-chain agent identity via Solana PDAs, Reputation and trust scoring for agents, Agent-to-agent micropayments, and 2 more. SendAI counters with 6 features including 50+ pre-built Solana protocol actions, Compatible with ElizaOS and LangChain, Jupiter, Raydium, Meteora integrations, and 3 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. SAID Protocol currently has a unknown health status. SendAI 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

SAID Protocol's key strengths include addresses the trust gap in agent-to-agent interactions, native solana pda-based identity, interoperable via the erc-8004 standard. SendAI stands out for open-source and free to use, broad protocol coverage, multiple ai framework support. On the flip side, SAID Protocol's weaknesses include depends on broad agent-ecosystem adoption to be useful, while SendAI's main drawback is requires ai/development knowledge.