Axtary vs gate-oc-audit

Axtary and gate-oc-audit are both guardrails & safety 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.

Axtary

Axtary sits beside the agent and evaluates each tool call against deterministic policy before the underlying provider is called. Routine actions — ones that clear the policy rules — pass automatically. Higher-risk actions pause for a human to review the normalized payload, and the approval is cryptographically tied to that specific hash. If anything changes after sign-off, the adapter catches the mismatch and blocks execution. Every attempt, pass, and rejection lands in a verifiable ledger. The self-hosted path keeps provider credentials local, which matters for teams that cannot route credentials through a third-party service.

gate-oc-audit

Gate operates as a drop-in proxy: your agent points at one endpoint, Gate inspects every outbound prompt and every inbound response, then enforces the policy you write — blocking injections, redacting secrets and PII, flagging ambiguous cases, and writing every decision to a tamper-evident audit log anchored to a blockchain. The vendor reports 97.4% F1 across 16 public prompt-injection benchmarks and a head-to-head F1 of 96.6% versus Lakera Guard's 83.7% on four matched datasets; methodology and per-benchmark scores are published. Token compression and prefix caching run on every request, and the vendor states users see 20% or more token savings without changing model outputs. Gate is in private beta with no self-hosted deployment option, so teams with hard data-residency requirements hit a wall immediately.

Attribute	Axtary	gate-oc-audit
Pricing	Paid	Paid
Free trial	30 days	No
Open source	No	Yes
Has API	No	Yes
Self-hosted option	Yes	No
Platforms	—	Web proxy, desktop app
Pros	Payload hash binding ties every human approval to the exact diff or message reviewed, so a payload altered after sign-off is rejected at the adapter before the provider is called — eliminating the attack surface where approval covers a summary rather than the literal content. Deterministic policy evaluation on routine actions means low-risk tool calls clear automatically, so human reviewers only see the calls that actually warrant attention rather than approving every agent action manually. Self-hosted policy enforcement keeps provider credentials local, so teams under data-residency or credential-exposure constraints can run authorization checks without routing sensitive tokens through a third-party service. A verifiable ledger records every decision, pass, execution result, and trace reference, so teams facing a post-incident audit have a timestamped, tamper-evident record of what the agent was authorized to do and what actually ran. ActionPass artifacts carry normalized action records — actor, intent, resource, constraints, and policy version — structured for consumption across SDKs and MCP wrappers, so teams can integrate authorization evidence into existing tooling without custom log parsing.	Proxy-based architecture means your agent changes one endpoint, not its entire codebase, so you get injection defense without a rewrite and without touching model provider credentials. Bidirectional inspection catches both inbound injections from tool responses and outbound PII or credential leaks in model replies, which means a single misconfigured response cannot silently send a customer's SSN or an AWS key to the wrong place. Vendor-published benchmark methodology with per-dataset scores lets you audit the 97.4% F1 claim yourself rather than taking marketing copy on faith — which matters when you are deciding whether to put this in front of production traffic. Inline token compression and cache-prefix marking run automatically, so teams switching from direct API calls to Gate can offset the added infrastructure cost against token savings the vendor states average 20% or more per request. Policy-driven rule enforcement writes every block, redact, and flag decision to a tamper-evident audit log, so compliance reviews have a verifiable record of what the agent was told and what it said — without manual logging code in your agent.
Cons	The hash-binding guarantee only holds for connectors that implement the adapter-side verification step. Teams whose agents call tools outside the documented connector set — anything not in the GitHub, Slack, Linear, AWS/GCP, MCP, or document-search list — must write and maintain their own adapter verification before Axtary's core security property applies to those calls. Axtary enforces policy on proposed actions; it does not generate, plan, or sequence agent tasks. Teams that need an authorization layer bundled with agent orchestration — where the same system routes tasks and enforces rules — will hit this ceiling immediately and look at platforms that combine both concerns. The product is in access-request stage with a small documented connector surface, which means teams with production timelines that cannot absorb an integration build or a waitlist delay will default to a more established policy enforcement tool rather than waiting for connector coverage to expand.	No self-hosted deployment option exists on the current vendor page. Teams in healthcare, finance, or government with data-residency or network-isolation requirements cannot use Gate at all — they move to on-premise alternatives or build detection in-house. The 1% false-positive rate reported in the benchmark means Gate will block or flag legitimate requests. At low request volumes this is a minor inconvenience; in high-throughput pipelines where a blocked call means a failed agent task, teams need a human-review queue or a fallback path — neither of which is described in the current docs, adding implementation overhead. Private beta access is invite-only with no stated general availability timeline on the vendor page, so teams cannot schedule Gate into a production roadmap with confidence. Projects that need a committed SLA or guaranteed capacity move to established providers like Lakera Guard despite the lower reported benchmark scores.

Bottom line

Gate-oc-audit is open source; only gate-oc-audit exposes a public API. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between Axtary and gate-oc-audit?

Axtary is Paid, while gate-oc-audit is Paid and open source. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is Axtary better than gate-oc-audit?

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.