spamassassin
SpamAssassin is an open-source email spam and malware-adjacent filtering system. It scores incoming email using configurable rules (e.g., Bayesian learning, DNS-based checks, and pattern/rule matching) and can produce a classification result (spam/ham) and add headers for downstream processing.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
As a local filtering engine, it avoids API-based auth but security hinges on deployment practices (mail transport security, sandboxing where applicable, protecting learning databases/config). TLS enforcement for any network interactions is not clearly specified here. Dependency hygiene is unknown from the provided information; score is conservative.
⚡ Reliability
Best When
You have control of an MTA/MDA or mail pipeline and want a configurable, on-prem spam-scoring engine.
Avoid When
You need a managed SaaS with a REST/GraphQL API, OAuth, rate limits, and webhooks out of the box.
Use Cases
- • On-prem or self-hosted email spam filtering
- • Scoring and flagging suspicious emails for ticketing/relay systems
- • Integrating rule-based email classification into existing mail pipelines
- • Running Bayesian or rule-based tuning for a specific organization/domain
Not For
- • Replacing a full anti-malware sandbox for attachments
- • Real-time phishing prevention without additional controls (MTA rules, URL rewriting, user training)
- • Providing a hosted API service for developers (it’s primarily a mail-filtering engine)
Interface
Authentication
No platform authentication model is indicated; authentication is typically handled by the local deployment/middleware (e.g., mail server access), not by a SpamAssassin API.
Pricing
Self-hosted open-source; costs are infrastructure/ops and any supporting services.
Agent Metadata
Known Gotchas
- ⚠ No first-class agent-friendly network API to call; an agent would typically need to operate by editing config, invoking CLI/tools, or integrating with an MTA.
- ⚠ Behavior is highly dependent on configuration (rules, DNS/RBLs, bayes DB state), so reproducibility requires careful config/version control.
Alternatives
Full Evaluation Report
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Scores are editorial opinions as of 2026-04-04.