AgentReady vs Gateplex

AgentReady and Gateplex are both inference engines & infra tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AgentReady

The tool indexes public websites — including JS-rendered pages — and exposes the content through a single MCP server your agent connects to once, then queries across 114+ pre-indexed sites or any site you add on the fly. Four MCP tools cover the full workflow: ask a site a question, list what's indexed, submit a new URL, or force a re-crawl. Setup is a one-line MCP config and no API key. The wall you hit is scope: only public sites can be indexed, private documentation behind authentication is out of reach, and the 'Actionable' layer — agents triggering real site actions — is listed as coming later, not live.

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.

Attribute	AgentReady	Gateplex
Pricing	Paid	Paid
Price	—	$199/month
Free trial	No	No
Open source	Yes	No
Has API	Yes	Yes
Self-hosted option	No	No
Platforms	Web, CLI, MCP clients	Cloud-based middleware; integrates with agent frameworks on any platform running OpenAI, Anthropic, LangChain, CrewAI, AutoGen, Vertex AI, or AWS Bedrock
Pros	JS-rendered pages are indexed correctly, so agents get actual content from documentation sites that `web_fetch` returns blank on — no custom rendering pipeline required on your end. 114+ sites are pre-indexed and accessible through one MCP connection, which means your agent queries Stripe or Next.js docs with cited answers without you building or maintaining any crawl infrastructure. New sites are added in roughly 60 seconds via `submit_site` or the CLI, so when a dependency's docs aren't in the index yet you're not blocked waiting on a support queue. No API key or account is required to run a query or grade a site, so evaluation takes minutes rather than a procurement cycle — which matters when you're vetting this mid-sprint. Generates a spec-compliant `llms.txt` automatically from a URL paste, so site owners who want their content discoverable by agents don't need to understand the spec or involve a developer.	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.
Cons	Only public websites can be indexed — any documentation behind authentication, a VPN, or a private network is out of scope entirely. Teams whose critical docs live in a private Confluence instance or behind SSO have no path forward here and route to a self-hosted RAG stack instead. The 'Actionable' layer — agents triggering real site actions like search or transactions — is listed as a future capability, not a shipped feature. Teams building agents that need to do something on a site rather than just read it are building that integration themselves or evaluating tools that already ship it. Higher limits, private indexing, and custom deployments are listed as contact-us territory with no published self-serve path. Teams that hit index limits or need dedicated infrastructure mid-project face a sales conversation at the point when they least have time for one. There is no self-hosted option. Teams in environments where data cannot leave their infrastructure — regulated industries, enterprise security requirements — cannot use this service regardless of use case fit.	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.

Bottom line

AgentReady is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AgentReady and Gateplex?

AgentReady is Paid and open source, while Gateplex is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AgentReady better than Gateplex?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.