Check Your Tool's Score
Is your messaging tool agent-ready? We score it on 33 checks across discovery, auth, pricing, tooling, and reliability.
Frequently Asked Questions
What makes a messaging tool agent-ready?
An agent-ready messaging tool scores well on five dimensions: Discovery (OpenAPI spec, llms.txt, MCP server), Authentication (API key auth, no CAPTCHA), Pricing (free tier, usage-based pricing), Agent Tooling (SDKs, structured errors, webhooks), and Reliability (SLA, status page, rate limit headers). The Agent Native Registry scores each tool on a 33-point checklist across these dimensions.
Which messaging tool has the best AI agent support?
QStash leads our messaging rankings with an Agent Native Score of 48/100. Apache Kafka (42/100) and RabbitMQ (42/100) round out the top 3. Scores are based on publicly verifiable criteria — no pay-to-rank.
How are agent-readiness scores calculated?
Agent Native Scores are calculated using a 33-point pass/fail checklist. Each tool is evaluated on: Discovery (can an AI agent find it?), Authentication (can an agent sign up and authenticate?), Pricing (is there a free tier or usage-based pricing?), Agent Tooling (SDKs, structured errors, webhooks, sandbox), and Reliability (SLA, status page, rate limits). The score is the percentage of checks passed out of 33 total.