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OpenTrust
Pricing
- Model
- Free
Summary
Most anti-bot and liveness checks hit a wall the moment you try to avoid collecting photos, videos, or biometrics — the signals your privacy policy and legal team will not sign off on. OpenTrust is a client-side SDK that collects browser and behavioral trust signals without media capture.
OpenTrust runs in the browser, gathers signals about the environment and interaction patterns, and returns a trust score your server can act on. It fits teams that want a first-pass human-presence check layered on top of existing auth — not a replacement for it. The SDK is open-source and self-hostable, so the signal pipeline stays off third-party servers. The ceiling appears when you need decisioning logic, model retraining on your own fraud data, or server-side verification depth — none of that ships in the box. Teams with those needs wire OpenTrust as one input into a broader risk engine they build and maintain separately.
Bottom line: Pick this for a privacy-safe liveness signal on a web prototype or a lightweight trust layer in front of a form; plan a separate architecture when you need adaptive fraud models, server-side signal enrichment, or audit-grade decisioning.
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Pros
Sign in to edit- No media capture required, so you avoid the camera-permission prompt and the data retention obligations that come with storing biometric footage — a direct unblock for privacy-sensitive deployments.
- Open-source and self-hostable, which means the signal collection pipeline never touches a third-party server and you can audit exactly what gets collected before putting it in front of users.
- Narrow, single-function API surface, so integration time stays short and upgrading the SDK does not require refactoring a sprawling configuration layer.
- Client-side browser integrity checks run without a server round-trip for signal collection, so you get a trust signal before the request hits your backend — useful for blocking obvious automation at the edge.
- Free with no usage-gated tiers, so prototyping and low-volume production use do not require a procurement conversation before you can ship.
Cons
Sign in to edit- The SDK has no adaptive fraud model and no mechanism to retrain on your own session data — so as bot operators fingerprint and evade the signal set, your detection rate degrades and you have no in-tool path to recover it. Teams with active adversarial pressure build or buy a model layer on top, at which point OpenTrust is one feature input rather than the fraud system.
- Server-side signal enrichment is out of scope: IP reputation, device history, account velocity, and behavioral sequences across sessions are not part of the SDK. Any risk decision that requires those signals requires a separate pipeline you own, making this unsuitable as a standalone solution for high-value transaction flows.
- There is no case management, alerting, or analyst tooling included. A fraud operations team that needs to review flagged sessions, tune thresholds, or generate audit trails for compliance must build or integrate all of that independently — at which point teams with budget move to a dedicated fraud platform and drop OpenTrust from the stack.
About
- Platforms
- Web (browser), npm, React, CDN, Docker
- API Available
- Yes
- Self-Hosted
- Yes
- Last Updated
- 2026-07-24T08:23:50.811Z
Best For
Who it's for
- Web applications needing lightweight client-side trust signals
- Privacy-focused teams avoiding media uploads
- Combining with existing auth and server verification
- Prototyping anti-automation and liveness features
What it does well
- Fraud prevention workflows
- Risk scoring and trust estimation
- Bot mitigation systems
- Browser integrity checks
- Research and developer prototypes
Integrations
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Sign Up to ContributeFrequently Asked Questions
- Is OpenTrust free?
- Yes — OpenTrust is fully free to use. There is no paid tier.
- Is OpenTrust open source?
- Yes. OpenTrust is open source.
- Does OpenTrust have an API?
- Yes. OpenTrust exposes a developer API. See the official documentation at https://open--trust.vercel.app for details.
- Can I self-host OpenTrust?
- Yes. OpenTrust supports self-hosting on your own infrastructure.
- What platforms does OpenTrust support?
- OpenTrust is available on: Web (browser), npm, React, CDN, Docker.
Curated lists that include this category
OpenTrust is an open-source, client-side JavaScript SDK that collects browser integrity and behavioral signals to estimate whether a session originates from a human user. The core workflow is a one-shot function call that inspects the browser environment — device characteristics, interaction patterns, and automation indicators — then returns a trust score your backend can consume to gate actions, flag sessions, or feed a downstream risk pipeline.
The defining characteristic is what it deliberately does not collect: no photos, no video, no audio, no biometric media. For teams operating under strict data minimization requirements or whose users are sensitive to camera and microphone prompts, this removes the legal and UX friction that media-based liveness checks introduce. The signal set stays in the browser and the result travels as a lightweight payload.
OpenTrust fits as a composable input rather than a standalone gate. It works well alongside existing authentication flows, bot mitigation middleware, or fraud scoring services — adding a client-side trust signal where those systems have a gap. The gaps in OpenTrust itself are significant at production scale: there is no built-in adaptive model, no server-side signal collection, and no case management or alert tooling. A team running a high-stakes fraud prevention workflow will use this as one feature in a system they own, not as the system itself. Research teams and developers prototyping anti-automation features get the most direct value without needing to build around its limits.
Installation follows standard package manager conventions per the repository documentation. The API surface is intentionally narrow — the vendor describes it as a single callable that returns a structured result — which keeps integration time low and the blast radius of an upgrade small, but also means any logic for acting on the score lives entirely in your application code.