Clawvisor
Task-level authorization for AI agents: approve the purpose once, every tool call is scoped to it.
The task-scoped model is the right answer to approval fatigue, and Clawvisor is the cleanest implementation of it we've seen for teams already running Claude Code or MCP servers. Free self-hosting under the Elastic License 2.0 is the honest way to evaluate it — real gateway, no seat caps. Just temper expectations on the metered cloud: chatty agents burn calls, and calls stop at zero unless auto-reload is on.
Verified 8h ago · liveness 73/100 · cite: rightaichoice.com/tools/clawvisor
- Engineering teams running production agents through Claude Code or MCP servers
- Security teams that need a full audit trail and credential isolation for agent actions
- Teams replacing per-call approval with task-level boundaries and expiry
- Platform teams that want agent policy version-controlled and reviewed via pull requests
- Teams wanting a pre-built agent with its own tools and workflows bundled in
- Organizations unwilling to run an intermediate gateway in the request path
- Users seeking a no-code agent builder
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Skip Clawvisor if you want a pre-built agent with its own tools and skills, or if you can't put an intermediate gateway in your agents' request path — it governs access, it doesn't do the work.
Every protected call is metered, so a chatty agent reading hundreds of messages can burn your monthly allowance well before the month ends.
Free at $0/mo covers 1,000 protected calls a month and suits a team testing Clawvisor on real work. Pro at $120/mo billed annually — $150/mo if you pay month-to-month — includes 20,000 calls and is the production floor for agents running daily. Past 20,000 calls you buy request packs at $0.025 per call (a 20,000-call pack is $500 list, $350 after the 30% discount). Larger or shaped deployments get a volume quote. Cheaper than HumanLayer-style per-call approval at volume; comparable in role to
In short
Clawvisor — Task-level authorization for AI agents: approve the purpose once, every tool call is scoped to it. Best for Engineering teams running production agents through Claude Code or MCP servers, Security teams that need a full audit trail and credential isolation for agent actions, Teams replacing per-call approval with task-level boundaries and expiry. Free to start; paid plans from $50.
What's new in Clawvisor
Checked 6 days agoAcross the latest 3 updates: 2 feature updates and 1 launch.
Git-backed policy management now available
Agent policies can be version-controlled and deployed through pull requests, so a change to what an agent may do is reviewable and auditable like a code change.
Native MCP support now available
Clawvisor can govern tool calls through the MCP protocol, letting MCP servers be protected with task-scoped policies instead of whatever the server exposes.
Introducing Clawvisor: a gatekeeper for AI agents using purpose-based authorization
Clawvisor launched as a purpose-based authorization gateway for AI agents, enabling task-scoped access with credential vaulting and audit logs.
What people actually say about Clawvisor — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
23 mentions across 2 sources (Hacker News, YouTube) · researched Aug 31, 2026.
Average across the 2 sources that answered — each source counts once, not each post.
- +Task-level approval reduces approval fatigue, matching a real pain point.
- +Fail-closed by default offers secure zero-access starting point for agents.
- +Credential vault keeps secrets away from agent, good security posture.
- +Per-task cost attribution helps track spending by tool calls and tokens.
- +Git-backed policy management enables version control of access rules.
- −Almost no direct user feedback to validate real-world performance.
- −Agent identity overhead might overcomplicate simpler use cases.
- −Lack of community discussion makes it hard to assess reliability.
- −YouTube banter is all about OpenClaw, not Clawvisor.
- −No mention of uptime or support quality in any source.
- • Potential compute for self-hosting
- • Token usage from running agents may be significant, not covered
Viability Score
How well maintained and how widely used is Clawvisor? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Task-level authorization: approve the purpose once, all tool calls scoped to it
- Fail-closed by default: agents start with zero access
- Credential vault: secrets encrypted, agents receive no token at all
- Server-side credential injection so agents never hold a key
- Purpose verification rejects off-task requests and injected instructions
- Risk scoring on every request before execution, flagging prompt injection in tool arguments
- Scope review at approval time showing exact scopes like calendar/list_events
- Full audit trail: every request, purpose declaration, decision, and credential injection logged
- Per-task usage attribution by tool calls and tokens
- Usage rolls up per task, per agent, and per approver
- Policy authored in plain English as RBAC/ABAC rules
- Self-hosted open-core under Elastic License 2.0 with no seat caps or call limits
- Native MCP server governance with task-scoped policies (Feb 2026)
- Git-backed policy management via pull requests (Mar 2026)
- Drop-in adoption with any agent harness: one skill, no SDK required
About Clawvisor
Clawvisor is a security gateway and control plane for AI agents. Rather than handing an agent standing credentials or approving every individual tool call, you approve the task — "triage the failing CI check on billing-api" — and Clawvisor checks each subsequent request against that approved purpose. On-purpose calls run with credentials injected server-side; off-purpose requests, scope creep, and injected instructions hidden in tool arguments get rejected. It's aimed at engineering and security teams running production agents through Claude Code, MCP servers, or any other agent harness. Adoption is drop-in: install one skill and your agent fetches data through Clawvisor instead of calling Gmail, GitHub, or your calendar directly — no SDK and no agent code changes. A task is a purpose plus the tools that purpose needs, and access expires when the work ends rather than persisting for the lifetime of the connection. Policy is authored in plain English as RBAC/ABAC rules, so the same task can auto-approve for one role and require human review for another. On the security side, secrets live in an encrypted vault — the agent names a service and action and never receives a token, not even a pointer to one. Every request is risk-scored before execution, flagging anomalous parameters, unusual access patterns, and prompt-injection attempts buried in tool arguments. A full audit trail records every request, purpose declaration, decision, and credential injection, with usage rolled up per task, per agent, and per approver down to tool calls and tokens. The core is source-available under the Elastic License 2.0 and free to self-host with no seat caps and no call limits. Recent releases added native MCP governance (Feb 2026) and Git-backed policy management via pull requests (Mar 2026). Against HumanLayer (per-call approval), Arcade (standing permissions), and Portkey (an LLM gateway), Clawvisor's task-scoped model sits in the middle — fast enough that you stop
Behind the Verdict
The problem Clawvisor picks a fight with is real. Giving an agent standing OAuth scopes is reckless; approving every call turns a human into a rubber stamp within a day. Binding access to a purpose plus an expiry is the only model that scales past toy usage, and the fact that it drops in via one skill rather than an SDK means you can test the premise in an afternoon. Pick this if you're running agents over Gmail, GitHub, calendar, or Postgres in anything resembling production, and you need the audit story to survive a security review. The credential-vault design is the part that sells best internally: the agent's transcript can leak without leaking a token, because there's no token in it to leak. Risk scoring on tool arguments catches the injection case that per-call prompts never surface. Pass if your agents are exploratory and rarely repeat a shape of work — task-scoped approval adds a step that only pays for itself when purposes recur. Teams without the appetite to put any intermediary in the request path will resent the latency and the extra hop, and anyone hunting for a pre-built agent with skills and workflows bundled in is looking at a different category entirely. The closest comparison is HumanLayer: it also gates agent actions, but at the per-call layer, so the human stays in the loop. If your compliance posture genuinely requires a person on every decisive action, that's a defensible choice — Clawvisor assumes you'd rather approve once and audit the rest. Arcade takes the opposite bet, handing agents broad standing permissions, which is what Clawvisor exists to avoid. Portkey governs model traffic, not the service calls an agent makes afterwards. Where it bites in practice: metered calls. A digest agent reading four hundred messages eats a big chunk of
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Real-world workflow fit
Concrete scenarios for the personas Clawvisor actually fits — and what changes day-one when you adopt it.
Their Claude Code agent keeps failing CI checks and the team has been approving every shell and repo call by hand. They install the Clawvisor skill, approve one task — 'triage the failing CI check on billing-api' — which grants scoped github, shell, and filesystem access.
Outcome: The agent works through the fix without a single mid-run prompt. Access expires roughly 30 minutes later when the task ends, and the 12 logged calls sit under that task and that approver.
They need agent actions on Gmail, Postgres, and Slack to be reviewable. They write RBAC/ABAC policy in plain English, host the gateway themselves, and put policy in a Git repo so changes go through pull requests.
Outcome: Low-risk tasks auto-approve for one team while higher-risk tasks wait for human review. Credentials stay in the vault inside their own network and every call lands in the audit trail.
An agent needs to draft 40 outbound follow-ups with access to CRM and email only. They approve the task with those two scopes, turning on auto-reload so a busy day doesn't stall the run.
Outcome: The run completes with scoped access that is revoked at the end, and the call and token usage are attributed to that task so finance can see what the batch actually cost.
Use Cases
- Approve a task for an agent to fix a failing CI check on billing-api; tool calls are scoped to that repo and task, then revoked when the work ends
- Let an agent draft 40 outbound sales follow-ups with access only to CRM and email, then revoke access when the run finishes
- Run an agent that queries Postgres and writes to Slack, with secrets vaulted and per-call audit for every query
- Deploy a self-hosted gateway to govern agent access to shell, filesystem, and internal APIs inside your own network
- Enforce role-based policy so one team's agents auto-approve low-risk tasks while another waits for human review
- Attribute agent spend per task and per approver so finance can see what each unit of work cost
Limitations
- Clawvisor is a gateway, not an agent — it governs agent access but ships no agent skills, task planner, or built-in workflows, so you bring your own harness.
- Every protected call is metered: Free covers 1,000 calls a month, Pro is listed at $120/mo (annual, 20,000 calls included), and past that you buy request packs at $0.025 per call, up to 30% off larger packs.
- When allowance and balance both hit zero, calls stop until you top up or enable auto-reload.
- Self-hosting is free under the Elastic License 2.0 with no seat caps and no call limits, but you operate it on your own infrastructure; tailored deployments past 20,000 calls a month require a volume quote.
as of 2026-10-12
Verification history
We have re-verified Clawvisor 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Clawvisor tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0/mo
Ideal for
A team testing Clawvisor on real agent work, or agents that act a few times a day — the vendor's own framing for this tier.
What this tier adds
Starting tier: $0/mo with 1,000 protected calls a month and no credit card, but the full gateway, credential vault, risk scoring, and audit trail.
Pro
$120/mo (annual) or $150/mo (monthly)
Ideal for
Production agents running every day with predictable monthly usage — the sensible floor once 1,000 calls a month isn't enough.
What this tier adds
Adds 20,000 protected calls a month, 76% off the list call rate, auto-reload so agents never stall, extended log retention, and priority support; $120/mo billed annually or $150/mo month-to-month.
Request packs
$50 (2,000 calls) to $350 (20,000 calls)
Ideal for
One-off spikes and topping up past your allowance on either the Free or Pro plan.
What this tier adds
Buyable calls at a flat $0.025 each with volume discounts — 2,000 calls for $50, up to 20,000 calls for $350 after 30% off. Packs never expire and work on either plan.
Teams & tailored deployments
Custom
Ideal for
Organizations that need higher volume than 20,000 calls a month or a deployment shaped around specific requirements.
What this tier adds
Custom pricing with a volume quote from an engineer, covering higher volume and deployments shaped around your requirements.
Where the pricing makes sense
The company stage and team size where Clawvisor's pricing actually pencils out — and where peers do it cheaper.
Free at $0/mo covers 1,000 protected calls a month and suits a team testing Clawvisor on real work. Pro at $120/mo billed annually — $150/mo if you pay month-to-month — includes 20,000 calls and is the production floor for agents running daily. Past 20,000 calls you buy request packs at $0.025 per call (a 20,000-call pack is $500 list, $350 after the 30% discount). Larger or shaped deployments get a volume quote. Cheaper than HumanLayer-style per-call approval at volume; comparable in role to
Setup time & first value
How long it actually takes to get something useful out of Clawvisor — broken out by persona, not the marketing-page minute.
For a platform engineer already running Claude Code or an MCP harness, first value is typically minutes: install one skill and route the agent through the gateway — no SDK and no agent code changes. Writing your first plain-English RBAC/ABAC policy is a short sitting. Self-hosting adds real time on top, since you stand up and operate the gateway and its vault in your own infrastructure.
Switching to or from Clawvisor
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From per-call approval tools like HumanLayer: replace approve-every-call with one task approval, keeping the human decision at the task level rather than the tool-call level
- →From standing-permission platforms like Arcade: move from broad granted scopes to scopes that only exist for the duration of an approved task
- →From an LLM gateway like Portkey: keep routing where it is and add task-scoped authorization in front of the services your agents reach for
- →From no governance at all: start on the free tier with 1,000 calls a month, or self-host under the Elastic License 2.0 with no call limits
- →From scattered API keys in agent config: move credentials into the Clawvisor vault and let the gateway inject them server-side on approved calls
- ↗To a pre-built agent platform with built-in skills and workflows: if you'd rather not operate a gateway, an agent-in-a-box product removes that layer entirely
- ↗To a per-call approval tool: if you want a human decision on literally every call, per-call approval is a stricter model than task-scoped authorization
- ↗To a standing-permission platform: if task-end revocation isn't required, broad scopes tied to a connection lifetime are simpler to run
- ↗To self-hosting: you can move off metered cloud calls at any time, since the same gateway is available under the Elastic License 2.0
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Clawvisor”, and we withheld 6: 6 could not be judged, because “Clawvisor” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Clawvisor.
Official links
Featured Head-to-Head Comparisons
Clawvisor vs Push Security
Choose Push Security if you need to defend against browser-based attacks (AiTM, session hijacking) and control AI tool usage across employees. Choose Clawvisor if you run production AI agents and need a safe, auditable gateway that approves tasks once without per-call friction. They solve different problems: one is a browser security platform, the other an agent control plane.
Clawvisor vs Audioeye
AudioEye and Clawvisor solve completely different problems. Choose AudioEye if you need automated ADA/WCAG compliance to avoid lawsuits and fix accessibility issues on your website. Choose Clawvisor if you run production AI agents and need fine-grained control over tool access, auditing, and credential security. They are not competitors.
Clawvisor vs Sublime Security
For SOC teams defending against sophisticated email attacks, Sublime Security offers deep detection with low false positives. For engineering teams deploying AI agents (Claude Code, MCP) and needing safety without friction, Clawvisor is the essential gateway. Choose based on your threat surface: inbox vs. agent tool calls.
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