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Gateplex

FreemiumAPI

Summary

An AI agent that approves a procurement request it shouldn't, leaks a customer's SSN to a third-party API, or issues a duplicate refund doesn't fail loudly — it fails silently, and you find out in the audit. Gateplex sits between your agents and the outside world, intercepting actions in real time before they land.

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.

Bottom line: Gateplex is the right call when a procurement or finance agent needs a compliance layer that generates audit-ready evidence for legal review — it is the wrong architecture if you need self-hosted deployment or if your agents run at intercept volumes the free tier cannot absorb.

Pricing Plans

Subscription
Price
Free to $199+/month
Free Tier
3 agents, 1 project, 5,000 intercepts/month, basic guardrail enforcement and audit log

Free

Free

Governance and compliance foundation tier for small deployments and trials

  • 3 agents
  • 1 project
  • 5,000 intercepts/month
  • Basic guardrail enforcement
  • Basic audit log
  • Community support

Enterprise

Custom

Unlimited scale, dedicated support, and SLA for regulated enterprises

  • Unlimited agents
  • Unlimited projects
  • Unlimited intercepts
  • Tamper-evident audit trail
  • Compliance PDF export
  • SLA + dedicated support

View full pricing on gateplex.ai →

Pricing may have changed since last verified. Check the official site for current plans.

Community Performance Report Card

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Best For: Enterprise teams deploying AI agents in regulated industries, Organizations subject to EU AI Act transparency and high-risk system obligations, Companies with procurement, finance, or customer support agents handling sensitive decisions, Teams needing real-time policy enforcement rather than post-hoc logging, Projects requiring regulatory audit trails formatted for legal and compliance teams

Community Benchmarks Community

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  • 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 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.

Community Reviews

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About

Platforms
Cloud-based middleware; integrates with agent frameworks on any platform running OpenAI, Anthropic, LangChain, CrewAI, AutoGen, Vertex AI, or AWS Bedrock
API Available
Yes
Self-Hosted
No
Last Updated
2026-06-02T01:06:04.497Z

Best For

Who it's for

  • Enterprise teams deploying AI agents in regulated industries
  • Organizations subject to EU AI Act transparency and high-risk system obligations
  • Companies with procurement, finance, or customer support agents handling sensitive decisions
  • Teams needing real-time policy enforcement rather than post-hoc logging

What it does well

  • Preventing unauthorized procurement agent approvals and spending overages
  • Blocking PII leakage to external APIs and third-party tools
  • Detecting and stopping duplicate refund or transaction issuance by financial agents
  • Ensuring EU AI Act compliance transparency for user-facing agents
  • Generating auditable governance evidence for enterprise procurement and legal review

Integrations

OpenAIAnthropicLangChainCrewAIAutoGenVertex AIAWS Bedrock; MCP registries: SmitheryGlamaMCP.so

Discussion Community

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Frequently Asked Questions

Is Gateplex free?
Gateplex is a paid tool (Free to $199+/month). No permanent free tier is offered.
Is Gateplex open source?
No — Gateplex is a closed-source tool. Source code is not publicly available.
Does Gateplex have an API?
Yes. Gateplex exposes a developer API. See the official documentation at https://gateplex.ai for details.
What platforms does Gateplex support?
Gateplex is available on: Cloud-based middleware; integrates with agent frameworks on any platform running OpenAI, Anthropic, LangChain, CrewAI, AutoGen, Vertex AI, or AWS Bedrock.

Hours Saved & ROI Stories Community

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Gateplex

Most agent governance strategies amount to writing everything to a log and reviewing it later — which means the bad action already happened. Gateplex takes a different position: it operates as middleware that intercepts agent actions at the moment of execution, evaluates them against configured policies, and enforces a block or approval before the action completes. The core workflow, as the vendor describes it, is intercept-evaluate-enforce: an agent attempts an action, Gateplex checks it against rules (spending limits, PII filters, duplicate transaction detection), and either passes or stops it. The audit trail is generated as a byproduct of that real-time check, not as a separate logging step.

The differentiating feature the vendor emphasizes is compliance-formatted evidence generation. For teams subject to EU AI Act obligations — particularly the transparency and high-risk system requirements — Gateplex produces audit artifacts structured for legal and compliance review, not just raw logs. That is a different output than what a general-purpose observability tool generates, and for procurement or finance agents making decisions that regulators may later scrutinize, the formatting difference is the whole point.

Gateplex fits best inside organizations that have already decided to deploy agents in regulated workflows and need a governance wrapper around them — not organizations still evaluating whether to use agents at all. Where it breaks: the platform is cloud-only, with no self-hosted option documented on the vendor page, which disqualifies it immediately for teams with data residency requirements that prohibit routing sensitive agent actions through external infrastructure. The free tier’s intercept cap also means teams with more than three agents or meaningful production traffic will hit the ceiling quickly.