getdebug vs Stashbase: Which is Better in 2026?
A comprehensive comparison of getdebug and Stashbase covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose getdebug if:
- →You need a broader feature set (7 features vs 5)
- →You need fixes delivered as validated pull requests, not just findings or deterministic detectors for secrets, dependency cves, weak crypto and cors
Choose Stashbase if:
- →You want more affordable paid plans (from $25/mo)
- →You need agent profiles stored in git: per-secret host, method and path rules or agents get short-lived placeholders — secret values never enter their context
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getdebug vs Stashbase: At a Glance
Pricing Comparison: getdebug vs Stashbase
Understanding the pricing differences between getdebug and Stashbase is crucial for making the right choice. Here's how their plans compare side by side.
getdebug Pricing
Stashbase Pricing
💡 Pricing takeaway: Both getdebug and Stashbase 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 getdebug and Stashbase stacks up.
What Makes Each Tool Unique
🔵 Unique to getdebug
Features available in getdebug but not in Stashbase:
- ✓Fixes delivered as validated pull requests, not just findings
- ✓Deterministic detectors for secrets, dependency CVEs, weak crypto and CORS
- ✓Model-powered SAST and AI-application detectors
- ✓Symbol-level dependency reachability via govulncheck on Pro
- ✓Bring-your-own-LLM key on the free tier, included model access on paid
- ✓Slack, Jira and Linear integrations with a ticket per high/critical finding
- ✓Automatic analyze-on-push with continuous tracking
🟣 Unique to Stashbase
Features available in Stashbase but not in getdebug:
- ✓Agent profiles stored in git: per-secret host, method and path rules
- ✓Agents get short-lived placeholders — secret values never enter their context
- ✓Local or remote proxy, so you choose where the trust boundary sits
- ✓MCP server exposes environment context and drafts changes without secret values
- ✓Secret-detection CLI with pre-commit/pre-push hooks and repository scans
Use Case Recommendations
Best for: getdebug
getdebug is an application-security scanner whose output is a pull request rather than a findings dashboard, and its detector mix reflects a sharp distinction between two classes of problem. Deterministic detectors — exposed secrets, dependency CVEs, weak cryptography, permissive CORS — produce fixes that can be generated and shipped without a model in the loop, and those PRs are unlimited on paid plans. Model-powered detectors covering SAST and AI-application-specific vulnerability classes need an LLM, and here the licensing is unusually generous: on the free tier you run them on your own LLM key with no seat charge, and on paid tiers a monthly allowance of AI-assisted fixes is included with no key needed. Reachability analysis is the other differentiator and it is tiered honestly: import-level reachability on Free, upgraded to symbol-level via govulncheck on Pro, which is the difference between 'this CVE exists in a package you import' and 'this CVE is in a function your code actually calls' — the single biggest source of noise in dependency scanning. Integrations post scan summaries into Slack, Jira and Linear and open a ticket per new high or critical finding. Billing is per developer with the first seat free on paid plans, and pending invitations and non-members are explicitly not billed, which removes a common source of surprise invoices.
Ideal use cases:
- •Teams or individuals who need fixes delivered as validated pull requests, not just findings
- •Teams or individuals who need deterministic detectors for secrets, dependency cves, weak crypto and cors
- •Teams or individuals who need model-powered sast and ai-application detectors
- •Teams or individuals who need symbol-level dependency reachability via govulncheck on pro
- •Anyone focused on sast workflows
- •Anyone focused on security-scanning workflows
Best for: Stashbase
Stashbase is a secrets control plane built for a situation most secret managers were not designed for: a coding agent that needs to call an authenticated API but should never hold the credential. For humans it does the ordinary thing well — pull the environment a service actually needs instead of passing .env files around a team, with per-environment access, invitation domains, a secrets changelog and role-based control over who can read what. The part that is unusual is the agent path. You write a profile file into the repository — a TOML document that names the project, the environment, the hosts the agent is allowed to reach, and, per secret, which hosts, methods and URL paths that credential may be exchanged against. Then you run the agent behind a proxy. The agent receives short-lived placeholders instead of values, each secret is swapped in only at the approved destination, and every allowed or denied exchange is written to a metadata-only log you can read afterwards. The proxy runs on your machine or on Stashbase infrastructure, which lets you place the trust boundary where your team wants it rather than where the vendor put it. An MCP server exposes environment context and lets a tool draft operational changes for review without the protocol ever carrying a secret value, and a secret-detection CLI scans code and pre-commit hooks so an exposed key gets replaced before it reaches production.
Ideal use cases:
- •Teams or individuals who need agent profiles stored in git: per-secret host, method and path rules
- •Teams or individuals who need agents get short-lived placeholders — secret values never enter their context
- •Teams or individuals who need local or remote proxy, so you choose where the trust boundary sits
- •Teams or individuals who need mcp server exposes environment context and drafts changes without secret values
- •Anyone focused on secrets workflows
- •Anyone focused on ai-agents workflows
🔐 Other Security & Privacy Tools to Consider
getdebug and Stashbase aren't the only options. Here are other popular tools in the same space:
Darktrace
AI cybersecurity with autonomous response
CrowdStrike Falcon
AI endpoint security and threat intelligence
Snyk
Developer security with AI vulnerability detection
GitGuardian
Automated secrets detection in code
Wiz
Cloud security with AI risk prioritization
ZeroDrift
Compliance firewall that validates, rewrites or blocks every AI output before it reaches anyone
Is one of these your tool?
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Frequently Asked Questions
Is getdebug better than Stashbase?
It depends on your needs. getdebug offers 7 key features including Fixes delivered as validated pull requests, not just findings and Deterministic detectors for secrets, dependency CVEs, weak crypto and CORS, while Stashbase provides 5 features including Agent profiles stored in git: per-secret host, method and path rules and Agents get short-lived placeholders — secret values never enter their context. getdebug uses a freemium model with a free tier, while Stashbase is freemium with free access available. Choose based on which features and pricing model align with your requirements.
Is getdebug cheaper than Stashbase?
Stashbase is cheaper, starting at $25/user/month compared to getdebug's $39/year. 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 getdebug and Stashbase together?
Yes, many users combine getdebug and Stashbase in their workflow. getdebug excels at fixes delivered as validated pull requests, not just findings, while Stashbase shines with agent profiles stored in git: per-secret host, method and path rules. 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 getdebug and Stashbase?
While both are security & privacy tools, getdebug emphasizes fixes delivered as validated pull requests, not just findings, whereas Stashbase is known for agent profiles stored in git: per-secret host, method and path rules. The best choice depends on your specific workflow and feature priorities.
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