attestd vs Stashbase: Which is Better in 2026?
A comprehensive comparison of attestd and Stashbase covering features, pricing, use cases, and which tool is the right choice for your needs.
⚡ Quick Verdict
Choose attestd if:
- →You want more affordable paid plans (from $19.99/mo)
- →You need a broader feature set (6 features vs 5)
- →You need risk_state: nvd-derived vulnerability classification (none → critical) or supply_chain.compromised: malicious-publish flag independent of cve history
Choose Stashbase if:
- →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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attestd vs Stashbase: At a Glance
Pricing Comparison: attestd vs Stashbase
Understanding the pricing differences between attestd and Stashbase is crucial for making the right choice. Here's how their plans compare side by side.
Stashbase Pricing
💡 Pricing takeaway: Both attestd 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 attestd and Stashbase stacks up.
What Makes Each Tool Unique
🔵 Unique to attestd
Features available in attestd but not in Stashbase:
- ✓risk_state: NVD-derived vulnerability classification (none → critical)
- ✓supply_chain.compromised: malicious-publish flag independent of CVE history
- ✓typosquat: package-name integrity including AI-hallucinated package names
- ✓No code or repository access required
- ✓Python SDK and a documented curl quickstart
- ✓Free tier at 1,000 calls/month with the full response schema
🟣 Unique to Stashbase
Features available in Stashbase but not in attestd:
- ✓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: attestd
attestd is a software-risk API designed to be called by CI/CD pipelines and by AI coding agents, which is a narrower and more interesting brief than a general vulnerability scanner. One request against a package name and version returns three signals that the company insists are independent by design: risk_state, an NVD-derived vulnerability classification with values from none through critical; supply_chain.compromised, a malicious-publish flag that is deliberately not derived from CVE history, so a package can return no known vulnerabilities and still be flagged as compromised; and typosquat, a package-name integrity check that catches both classic typosquats and names an LLM invented that never existed. That third signal is the one built specifically for the agent era — a coding agent that hallucinates a dependency name will happily install whatever squatter registered it, and a scanner that only scores known-good packages misses the failure mode entirely. The design principle stated throughout is determinism: NVD, CISA KEV and OSV all publish machine-readable data, but none of them yield a single condition a pipeline can branch on without interpretation, so attestd does the normalisation and returns something a script can act on. No repository or code access is required, there is a Python SDK, and the free tier is genuinely usable for evaluation and personal automation.
Ideal use cases:
- •Teams or individuals who need risk_state: nvd-derived vulnerability classification (none → critical)
- •Teams or individuals who need supply_chain.compromised: malicious-publish flag independent of cve history
- •Teams or individuals who need typosquat: package-name integrity including ai-hallucinated package names
- •Teams or individuals who need no code or repository access required
- •Anyone focused on security workflows
- •Anyone focused on api 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
attestd 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 attestd better than Stashbase?
It depends on your needs. attestd offers 6 key features including risk_state: NVD-derived vulnerability classification (none → critical) and supply_chain.compromised: malicious-publish flag independent of CVE history, 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. attestd 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 attestd cheaper than Stashbase?
attestd is cheaper, starting at $19.99/month compared to Stashbase's $25/user/month. 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 attestd and Stashbase together?
Yes, many users combine attestd and Stashbase in their workflow. attestd excels at risk_state: nvd-derived vulnerability classification (none → critical), 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 attestd and Stashbase?
While both are security & privacy tools, attestd emphasizes risk_state: nvd-derived vulnerability classification (none → critical), 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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