DepScope vs Trestle: Which is Better in 2026?
A comprehensive comparison of DepScope and Trestle covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose DepScope if:
- →You need a broader feature set (8 features vs 6)
- →You need hallucination guard verifies packages against live registries in 19 ecosystems or typosquat detection by levenshtein distance to popular package names
Choose Trestle if:
- →You need hundreds of credential patterns plus entropy-based detection or mcp server for claude code, cursor, copilot and codex
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DepScope vs Trestle: At a Glance
Pricing Comparison: DepScope vs Trestle
Understanding the pricing differences between DepScope and Trestle is crucial for making the right choice. Here's how their plans compare side by side.
💡 Pricing takeaway: Both DepScope and Trestle offer free tiers, making it easy to try before you buy. Compare the specific plans to find the best value for your use case.
Feature-by-Feature Comparison
Here's how every feature from DepScope and Trestle stacks up.
What Makes Each Tool Unique
🔵 Unique to DepScope
Features available in DepScope but not in Trestle:
- ✓Hallucination guard verifies packages against live registries in 19 ecosystems
- ✓Typosquat detection by Levenshtein distance to popular package names
- ✓Live CVE intel from OSV, CISA KEV, EPSS, and the OpenSSF malicious feed
- ✓Severity, fix version, and migration path returned in one call
- ✓~300-token briefs replacing 4–8k tokens of scraping per decision (−74%)
- ✓8.5M packages, 19 ecosystems, 22 MCP tools
- ✓Remote MCP with zero install in Claude Desktop, Cursor, and Windsurf
- ✓Browser manifest scan plus a published 10-model hallucination benchmark
🟣 Unique to Trestle
Features available in Trestle but not in DepScope:
- ✓Hundreds of credential patterns plus entropy-based detection
- ✓MCP server for Claude Code, Cursor, Copilot and Codex
- ✓Native VS Code extension
- ✓Language server for Neovim, Helix, Zed and JetBrains
- ✓Pre-commit and CI scanning
- ✓Per-platform rotation playbooks (Pro)
Use Case Recommendations
Best for: DepScope
DepScope is a free MCP server that screens every package an AI agent suggests before it reaches npm install. It targets three specific failure modes. The first is hallucination: LLMs invent plausible-sounding package names, and DepScope verifies each one against live registries across 19 ecosystems and flags typosquats by Levenshtein distance to popular packages — the exact mechanism attackers rely on when they register a name a model is likely to hallucinate. The second is vulnerability exposure, covered by live lookups against OSV, CISA's Known Exploited Vulnerabilities list, EPSS scores, the OpenSSF malicious-package feed, and a deprecated-package index, returning severity, fix version, and migration path in one call. The third is token cost: pre-curated briefs of roughly 300 tokens replace the four-to-eight thousand tokens an agent would otherwise burn scraping registry and CVE pages per decision, a reported 74% reduction. It covers 8.5 million packages across 19 ecosystems — npm, PyPI, Cargo, Go, Composer, Maven, NuGet, RubyGems, pub, hex, Swift, CPAN, Hackage, CRAN, conda, Homebrew, JSR, and Julia — with 22 MCP tools, no auth, no API key, and no rate limit. Remote MCP works out of the box in Claude Desktop, Cursor, and Windsurf, with a curl one-liner for everything else, and the SDKs are open source. There is also a browser paste-a-manifest scan and a published ten-model hallucination benchmark.
Ideal use cases:
- •Teams or individuals who need hallucination guard verifies packages against live registries in 19 ecosystems
- •Teams or individuals who need typosquat detection by levenshtein distance to popular package names
- •Teams or individuals who need live cve intel from osv, cisa kev, epss, and the openssf malicious feed
- •Teams or individuals who need severity, fix version, and migration path returned in one call
- •Anyone focused on mcp workflows
- •Anyone focused on supply-chain workflows
Best for: Trestle
Trestle is a local secret scanner built specifically for AI-assisted development, on the premise that code an agent writes reaches more places than you intend — public commits scraped within seconds, client bundles shipped to every visitor, and today's commits training tomorrow's models. It scans every file and every commit before anything leaves your machine, recognising hundreds of real credential patterns (OpenAI, Anthropic, Stripe, GitHub, AWS, Google, Slack, Sentry and more), private keys and certificates in PEM, OpenSSH, PuTTY, PKCS, DER, x509 and PGP form, plus JKS, KeePass, BIP39, URLs and headers — and it can still flag an unfamiliar key by weighing entropy, variable naming and surrounding context. The integration surface is the interesting part: an MCP server means Claude Code, Cursor, Copilot and Codex can call the scanner themselves and verify their own output before writing it, alongside a native VS Code extension and a language server for Neovim, Helix, Zed and JetBrains. The Pro tier adds remediation guidance — how to lift the secret out of source, what to put in .env locally, and per-platform rotation playbooks for AWS Secrets Manager, GitHub Actions, Vercel, Netlify, Kubernetes Secrets and Doppler, chosen from the deployment targets it finds in your repository.
Ideal use cases:
- •Teams or individuals who need hundreds of credential patterns plus entropy-based detection
- •Teams or individuals who need mcp server for claude code, cursor, copilot and codex
- •Teams or individuals who need native vs code extension
- •Teams or individuals who need language server for neovim, helix, zed and jetbrains
- •Anyone focused on security workflows
- •Anyone focused on secrets workflows
🛡️ Other AI Security & Testing Tools to Consider
DepScope and Trestle aren't the only options. Here are other popular tools in the same space:
Lineation
Security control plane for AI agents — zero-trust agent identity, LLM and MCP gateways, policy-as-code, and prompt-injection defense
Axtary
Payload-bound authorization for AI agents — human approval is cryptographically tied to the exact action, so a changed payload is denied
Tracecat
Open-source SOAR for AI-native security teams — agents, cases, and workflows with human approval gates
Agentmetry
Local, open-source flight recorder that tags AI agent activity with MITRE ATT&CK
ZeroLeaks
Continuous AI red teaming for agents, endpoints and MCP tools, with unlimited scans on every plan
Bot Butcher
LLM-based spam classification API for contact forms — a reCAPTCHA alternative with no visitor friction
Is one of these your tool?
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Frequently Asked Questions
Is DepScope better than Trestle?
It depends on your needs. DepScope offers 8 key features including Hallucination guard verifies packages against live registries in 19 ecosystems and Typosquat detection by Levenshtein distance to popular package names, while Trestle provides 6 features including Hundreds of credential patterns plus entropy-based detection and MCP server for Claude Code, Cursor, Copilot and Codex. DepScope uses a free model with a free tier, while Trestle is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is DepScope cheaper than Trestle?
Both tools have similar pricing structures. Both tools offer free tiers, so you can try each before committing. Always check the official websites for the most current pricing.
Can I use DepScope and Trestle together?
Yes, many users combine DepScope and Trestle in their workflow. DepScope excels at hallucination guard verifies packages against live registries in 19 ecosystems, while Trestle shines with hundreds of credential patterns plus entropy-based detection. Using both allows you to leverage the strengths of each tool, though this means managing two subscriptions — though free tiers can help manage costs.
What's the main difference between DepScope and Trestle?
While both are ai security & testing tools, DepScope emphasizes hallucination guard verifies packages against live registries in 19 ecosystems, whereas Trestle is known for hundreds of credential patterns plus entropy-based detection. The best choice depends on your specific workflow and feature priorities.
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