perch vs Endor Labs
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | perch | Endor Labs |
|---|---|---|
| Pricing | Free | Freemium — self-serve Developer tier (local scanning, no account); paid enterprise tiers quote-only |
| Core job | Enforce your team's own semantic rules on a source tree | Verify and prioritize real, reachable vulnerabilities across code, containers, and AI agent actions |
| Rules authored as | Your own perch.yaml rules written in plain-language --ensure guarantees | Vendor-maintained policy engine + policy-as-code enforcement (allow/block/ask a human) |
| Agent-related scope | Reviews/gates code produced by Claude Code, Codex, Cursor | Governs agents themselves: inventories agents, models, MCP servers, skills; audit trail |
| Hosting / ops | CLI, findings stored locally in .perch; source sent to a third-party service for analysis | Platform deployed where your infrastructure runs; nothing installed in your cluster (container scanning) |
| CI gating | Exit code 3 fails CI jobs on breaking findings | Policy-as-code enforcement at the moment of action, with audit trail |
Perch is a semantic code linter that turns your team's review rules into committed, executable policy checks powered by Jev.
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AI-native application security that governs coding agents and verifies real, reachable vulnerabilities.
Visit WebsiteWhat real users say: perch vs Endor Labs
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
perch
70 mentions across 6 sources · 14% positive — critical (weighted across 6 sources)
Reddit, Hacker News, YouTube, Product Hunt, GitHub, Lemmy
What users praise
- • Free and globally installed via npm as @lakeday/perch — zero cost to try.
- • Natural-language rules in perch.yaml let you encode team conventions as reviewable code.
- • Findings include rule ID, file:line, severity, confidence percentage, and enclosing method.
- • Per-finding confidence scoring avoids binary pass/fail and reduces false-positive fatigue.
What frustrates them
- • Almost no independent user reviews or testimonials exist for the actual linter.
- • Open language-filtering bug means shipped scans may flag irrelevant vulnerability classes.
- • No listed integrations with CI/CD, editors, or Slack — everything is manual CLI wiring.
- • Name collision with Google Perch and a board game makes community support hard to find.
Researched Sep 26, 2026
Endor Labs
30 mentions across 3 sources · 58% positive — mixed (averaged across 3 sources)
Hacker News, YouTube, Lemmy
What users praise
- • Reachability-driven prioritization cuts through scanner noise effectively.
- • Discovered real zero-days, including CVE-2026-55407 in Anthropic's buffa.
- • Provides verifiable evidence with data flow and call paths.
- • Contextual fixes preserve code logic, reducing manual effort.
What frustrates them
- • Sparse community feedback makes independent validation difficult.
- • Pricing for Core/Pro tiers lacks transparency in public discussions.
- • Full platform complexity may require dedicated security expertise.
- • Concern about support quality after Microsoft integration.
Researched Jul 31, 2026
Feature-by-feature
The two tools differ in kind, not degree. Endor Labs is a verification engine: its AURI engine mixes deterministic program analysis with data flow tracing to cut what the vendor claims is 95-97% of traditional SAST/SCA false positives, then prioritizes by reachability (including code-to-image reachability for containers). Its AI SAST extends to C as of August 2026 and covers first-party and business-logic scanning; secrets detection runs before commit; Package Firewall blocks malicious packages at install. Its distinguishing layer is agent governance: it inventories every AI coding agent, model, MCP server, and skill, learns your architecture from AGENTS.md and CLAUDE.md context files, and enforces policy at the moment of action — allow, block, or ask a human — with an audit trail. Perch has none of that. It is a CLI that runs perch scan over a source tree and returns findings with rule ID, file:line, severity, a confidence percentage, and enclosing method. Its differentiator is authoring: you define rules in perch.yaml with perch rules add, scope them with --each method, --each file, or --where "src/**/*.ts", and state them as plain-language --ensure guarantees. It filters to one rule, checks a single symbol, scans only changed files with --since origin/main, and exits 3 to fail CI. Perch detects off-by-one loops, weak crypto, and unhandled nulls; Endor Labs detects the same broad class of issues but as one input into a governed enterprise workflow.
Pricing compared
Endor Labs is freemium in the least generous sense: the only self-serve option is the Developer tier, which does local scanning with no account required, and everything else is a quote-based enterprise purchase. Its own 'not for' list says it plainly — buyers who need instant self-serve paid plans. Budget for a sales cycle, a deployment inside infrastructure you control, and onboarding alongside a security or DevSecOps function; several capabilities assume CI/CD pipelines exist. Perch costs nothing. You install it with npm install -g @lakeday/perch and run it. The hidden cost isn't licensing, it's labor: Perch ships no vendor rule pack worth speaking of, so the return depends entirely on the perch.yaml rules your team writes and maintains. Filtering with perch scan --filter rule=<name> and gating with perch scan --since origin/main keeps CI minutes near zero, and findings stay in the local .perch directory rather than a hosted dashboard you'd pay for. So the cost comparison is enterprise contract plus implementation effort versus zero dollars plus rule-authoring effort — not two tiers of the same product.
Who should pick which
- Security team at a FedRAMP-bound enterprisePick: Endor Labs
FedRAMP 2026 rules make reachability analysis a requirement for vulnerability management; Endor Labs positions AURI's reachability engine as aligned.
- DevSecOps engineer drowning in SCA/SAST false positivesPick: Endor Labs
Data flow analysis plus reachability prioritization is the whole pitch — cut noise, then prove which findings are actually reachable.
- Platform team rolling out Cursor, Claude Code, and Codex internallyPick: Endor Labs
Inventory of agents, models, MCP servers, and skills with allow/block/ask enforcement and an audit trail is governance you can't build from a linter.
- Two-person TypeScript startup with project-specific review rulesPick: perch
Free, repo-committed perch.yaml rules scoped with --where "src/**/*.ts" and gated in GitHub Actions with exit code 3 — no vendor contract needed.
- Solo developer reviewing AI-generated PythonPick: perch
`perch scan --since origin/main` plus confidence-scored findings gives a cheap check on agent output without a hosted platform.
Frequently Asked Questions
Can I start using Endor Labs today without talking to sales?
Only the Developer tier, which does local scanning with no account required. Anything beyond that goes through a quote — its own 'not for' list flags buyers who need instant self-serve paid plans.
Does Perch need my source code to leave my machine?
Yes, analysis is done by a third-party service, which Perch lists as a disqualifier for codebases that can't send relevant source out. Findings themselves are stored locally in the .perch directory.
Can Perch replace Endor Labs' SCA or container scanning?
No. Perch scans a source tree for defects and security issues through rules you write. It has no software composition analysis, container image scanning, or reachability prioritization.
Do I have to write rules to get value from Perch?
Largely yes — Perch explicitly says it is not zero-config drop-in linting and that value depends on writing your own perch.yaml rules. Out of the box you get detection of things like off-by-one loops, MD5-hashed tokens, and unhandled nulls.
What happens to Endor Labs findings when a coding agent proposes a fix?
Its agentic remediation applies fixes while preserving logic, and policy-as-code can allow, block, or ask a human at the moment of action, with the decision recorded in an audit trail.
Can both run in the same pipeline?
Technically yes — Endor Labs integrates with GitHub Actions and CircleCI, and Perch fails CI jobs via exit code 3. But you'd be buying two different things: governed enterprise verification versus local custom-rule enforcement.
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Last reviewed: September 26, 2026