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Gateplex vs OpenTrust

Bottom line

Gateplex has a free plan plus paid upgrades, while OpenTrust is free. OpenTrust is open source and Gateplex is not. You can run OpenTrust on your own machine or server; Gateplex is hosted by the vendor.

Which one should you try?

Gateplex

Freemium

Best for Enterprise teams deploying AI agents in regulated industries

Visit Gateplex See full review

OpenTrust

Free

Best for Web applications needing lightweight client-side trust signals

Visit OpenTrust See full review

Pricing, capabilities and platforms side by side. Prices are as of the "Pricing checked" date in the table.

Gateplex

Gateplex

Gateplex is governance middleware: it does not run your agents, it watches them. The vendor describes it as a policy enforcement layer that intercepts agent actions — API calls, approvals, data sends — checks them against defined rules, and blocks or flags violations before execution completes. That distinction matters for regulated environments where post-hoc logging is not enough. The free tier covers three agents and a capped intercept volume per month, which fits a proof-of-concept but runs short the moment a second team deploys. Beyond that ceiling, teams move to a paid tier or hit a wall.

OpenTrust

OpenTrust

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.

AttributeGateplexOpenTrust
PricingFreemiumFree
Price$199/month—
Pricing checkedJun 11, 2026Not checked yet
Free trialNot statedNot stated
Open sourceNoYes
Has APIYesYes
Self-hosted optionNoYes
PlatformsCloud-based middleware; integrates with agent frameworks on any platform running OpenAI, Anthropic, LangChain, CrewAI, AutoGen, Vertex AI, or AWS BedrockWeb (browser), npm, React, CDN, Docker
Pros
  • Real-time action interception before execution completes, which means a procurement agent cannot approve an out-of-policy spend and then get flagged about it afterward — the action is stopped in the moment.
  • PII detection at the intercept layer, so customer data does not reach a third-party API before a policy check has cleared it — without this, a misconfigured agent integration becomes a data leak that logging discovers too late.
  • Duplicate transaction detection for financial agents, which prevents a refund or payment from issuing twice due to a retry loop or race condition — the kind of error that is trivial to miss and expensive to reverse.
  • Audit trail output formatted for legal and compliance review rather than raw telemetry, so the evidence package a regulator or procurement committee requests does not require a data engineering sprint to produce.
  • API access to the enforcement layer, which means policy rules can be managed programmatically and integrated into existing deployment pipelines rather than configured only through a UI.
  • 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
  • No self-hosted deployment option is documented — every agent action routed through Gateplex passes through vendor infrastructure. Teams with data residency requirements, air-gapped environments, or legal restrictions on externalizing sensitive financial or health data have no workaround: this is a hard architectural incompatibility, not a configuration problem, and those teams evaluate on-premises alternatives instead.
  • The free tier caps at three agents and a fixed intercept volume per month. A team piloting with two agents clears that ceiling the moment a third team onboards or production traffic spikes — at which point the choice is a paid tier commitment or a freeze on agent expansion, and the evaluation timeline compresses.
  • Gateplex enforces policy on agent actions but does not itself define what your agents should do — teams that want policy logic tightly coupled to agent orchestration (branching based on what a prior step returned, approval gates wired into the agent graph) end up maintaining Gateplex as a separate enforcement layer alongside their orchestration framework, which is two systems to debug when something breaks.
  • 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.

Made up your mind?

Gateplex

Freemium

Best for Enterprise teams deploying AI agents in regulated industries

Visit Gateplex See full review

OpenTrust

Free

Best for Web applications needing lightweight client-side trust signals

Visit OpenTrust See full review

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Specs come from each tool's own site and docs (how we test). AIDiveForge is editorially independent.

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