Permit
Pre-execution action authorization for AI agents — deterministic policy enforcement before tool calls run.
If you're shipping agents that touch money, claims, or regulated data, Permit0's pre-execution gate is the right shape — deterministic, signed, and replayable, not another dashboard that tells you what went wrong after the fact. The $25-allowed / $8,500-blocked refund example shows the actual value: catching a 340× outlier before Stripe fires. The open-source core and no-rate-limit SDK make a pilot cheap to run, and the Tool Action Compiler plus taxonomy mean you write the policy once and enforce it across LangChain, CrewAI, and AutoGen. The catch is scope. This is authorization, not observability or agent-building, so it's a complement to your stack — pair it with something like Langfuse
Verified 21h ago · liveness 71/100 · cite: rightaichoice.com/tools/permit
- Fintech and payments teams gating refunds, transfers, and ledger writes
- Insurtech and claims teams needing pre-execution evidence for EU AI Act Annex III
- Platform engineering leads consolidating authorization across multiple agent frameworks
- CISOs putting a deterministic gate between agent decisions and execution
- Teams that only need post-execution observability or monitoring
- Anyone looking for a no-code AI agent builder
- Simple chatbots that don't execute tool calls
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Skip Permit0 if your agents never execute tool calls against money, PII, or regulated data — a chatbot that only generates text gets no value from a pre-execution gate.
Session-aware chain detection, which catches dangerous action sequences like read-PII-then-transfer, is locked to Cloud Pro at $49/mo — the free and Starter tiers don't include it.
Permit0's pricing ladder is unusually deep for a beta product: a genuinely free open-source SDK with no rate limits, a $0 managed-cloud Starter, then a $49/mo Cloud Pro and $499/mo Cloud Growth before Custom Enterprise. The $49/mo Pro tier fits a small platform team consolidating authorization across a few frameworks; the $499/mo Growth tier fits a mid-market team that needs the kill switch and replayable evidence. Enterprise is where the data-residency and full-compliance-center buyers land.
In short
Permit — Pre-execution action authorization for AI agents — deterministic policy enforcement before tool calls run. Best for Fintech and payments teams gating refunds, transfers, and ledger writes, Insurtech and claims teams needing pre-execution evidence for EU AI Act Annex III, Platform engineering leads consolidating authorization across multiple agent frameworks. Free to start; paid plans from $49/mo.
What's new in Permit
Checked todayAcross the latest 1 update: 1 feature update.
What people actually say about Permit — is it worth it?
We scanned public community sources for Permit on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.
Viability Score
How well maintained and how widely used is Permit? 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: September 2026
How we score →Key Features
- Pre-execution action authorization for AI agents
- Deterministic policy enforcement before tool calls execute
- Canonical taxonomy across 21 action domains
- Risk scoring with 9 flags and 10 amplifiers
- Single decorator @permit0.guard to guard tool calls
- Tool Action Compiler normalizes tool calls across frameworks
- Session-aware chain detection catches risky action sequences
- Two-stage review with LLM that can only deny or escalate
- Cryptographic capability tokens bind actions to payload hashes
- PASETO v4.public token format with replay protection and TTL
- Global kill switch for override authority
- Audit-of-record per decision with cryptographic signing
- Replayable evidence export in audit-grade format
- Compliance packs for EU AI Act, Colorado AI Act, NIST AI RMF, ISO 42001, SOC 2, FINRA, HIPAA, SR 11-7
- Deploy modes: cloud, self-hosted, managed VPC
About Permit
Permit0 is the action authorization layer for AI agents — the deterministic policy gate between what an agent decides and what it actually executes. Instead of post-hoc monitoring, it scores and gates each tool call against a policy before it fires. In the vendor's own example, a $25 refund goes through while an $8,500 one is blocked with a risk score of 82/100, tier HIGH, flags FINANCIAL·MUTATION, and escalated to human review. Integration is a single decorator: @permit0.guard("payments.refund"). The core engine is open source and installs with pip in roughly five minutes. The platform rests on three components. Permit0 Engine is the deterministic policy engine: the Tool Action Compiler normalizes any tool call into a canonical action across 21 domains, the Risk Engine scores against 9 flags and 10 amplifiers, and an optional two-stage LLM reviewer can only deny or escalate — never approve. Permit0 Taxonomy is a canonical, versioned vocabulary of agent actions across 21 domains, each scored across risk dimensions with opinionated defaults. The Compliance Center produces audit-of-record evidence mapped to EU AI Act, Colorado AI Act, NIST AI RMF, ISO 42001, SOC 2, FINRA, HIPAA, SR 11-7, and more. Integration is broad by design — LangChain, Model Context Protocol, CrewAI, OpenClaw, AutoGen, LangGraph, the OpenAI Agents SDK, Claude Code, and raw Python tools all route through the same policy. Capability tokens bind approved actions to payload hashes and constraint envelopes so prompt injection can't bypass a signed gate, and the decision path uses rules and cryptography with no model in the hot path. Team deploys cloud, self-hosted, or managed VPC. It's aimed at fintech, insurtech, and healthtech teams where one bad action is a regulatory event, plus the platform leads, CISOs, and compliance owners who need a single control plane across every framework a company ships. The pitch against identity layers (Okta) and observability tools is sharp: those govern which agents exist or report what already happened — Permit0 governs whether a specific action gets to run.
Behind the Verdict
Permit0 is betting on a real gap: identity layers like Okta control which agents exist, observability tools report what already happened, and platform vendors like Salesforce Agentforce or Microsoft Agent 365 only govern what runs inside their boundary. None of them decide whether a specific cross-platform action gets to execute, in real time, before it does. That's the slot Permit0 occupies, and its architecture reflects it. The strongest part is the determinism story. The decision path is rules and cryptography with no model in the hot path — the optional LLM reviewer in the two-stage flow can only deny or escalate, never approve. That asymmetry matters for regulated buyers: you get the flexibility of an LLM second opinion without handing it the ability to wave an $8,500 refund through. Capability tokens in PASETO v4.public format bind approved actions to argument hashes, so a prompt injection can't reuse a signed token against a different payload. Every block, allow, and escalation produces a signed DecisionRecord that's replayable and exportable — which is exactly what a SOC 2 or SR 11-7 reviewer wants to see. The taxonomy is the quieter strength. Twenty-one action domains with opinionated risk defaults means day one isn't an empty policy file — the vendor frames this explicitly as "every policy engine ships an empty policy, and that's the layer Permit0 ends." For a platform team running LangChain, CrewAI, and AutoGen side by side, the Tool Action Compiler normalizing all of them into one canonical ActionSpec is the difference between one policy and three. The weaknesses are honest ones. This is authorization, not observability — it won't tell you what an agent did yesterday at 3am unless that decision went through the gate. It's not an agent builder, and it won't help a solo developer prototyping a chatbot that never executes a tool call. The product is in beta with a design partner program aimed at fintech, insurtech, and healthtech, which means early adopters get founder access but also absorb early-stage risk on roadmap and support. The architecture spec itself is still a draft in progress, with the full document available only via a 30-minute call with the founders. Where it fits: production agents that touch money, PII, or regulated workflows, run across multiple frameworks, and need pre-execution evidence. Where it doesn't: simple chatbots, post-hoc analytics, and teams outside regulated verticals who won't use the compliance mappings that justify the paid tiers.
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Real-world workflow fit
Concrete scenarios for the personas Permit actually fits — and what changes day-one when you adopt it.
Wrap the refund tool with @permit0.guard("payments.refund"), keep the default $1,000 threshold, and let the Risk Engine score every call. A $25 refund passes; an $8,500 refund scores 82/100, tier HIGH, flags FINANCIAL·MUTATION, and is escalated to human_review.
Outcome: Routine refunds clear without a human in the loop, and the 340× outlier is blocked before Stripe is ever called.
Deploy the license gate via managed VPC so the policy decision runs where the claims data lives, issue PASETO capability tokens so an injected prompt can't reuse a signed gate against a different payload, and keep the global kill switch as override authority.
Outcome: One policy plane across every framework, with a signed, replayable DecisionRecord for each block, allow, and escalation.
Run every agent action through the gate so a DecisionRecord is produced per evaluation, then export replayable evidence in audit-grade format and map it against the EU AI Act and NIST AI RMF packs.
Outcome: Audit-of-record evidence is ready before the auditor asks, in the frameworks they already use.
Use Cases
- Automatically block a refund action if the amount exceeds a configurable threshold without human approval.
- Escalate a sequence of sensitive agent actions (e.g., read PII then transfer funds) for human review.
- Enforce compliance policies across agents built with LangChain, CrewAI, and AutoGen using a single policy rule.
- Audit every pre-execution decision with signed, replayable logs for SOC 2 or DORA compliance.
- Protect production agents from accidentally executing dangerous mutations like deleting records or initiating payments.
- Define custom action taxonomies and risk amplifiers for domain-specific agent behaviors.
Limitations
- Permit0 is in beta with a design partner program focused on fintech, insurtech, and healthtech teams shipping agents into production — so early adopters absorb early-stage roadmap and support risk alongside founder access.
- It is authorization, not observability: it gates actions before they execute but does not monitor or analyze agent behavior that never passes through the gate.
- It is not an agent builder and offers no no-code path.
- The architecture spec is still a draft in progress — the full document is available only by walking through the working draft with the founders on a call.
- The taxonomy and 21-domain defaults are opinionated, so teams with unusual action domains will need to define custom taxonomies and risk amplifiers.
- Single-purpose chatbots that don't execute tool calls get nothing from it, and teams outside regulated verticals may find the compliance packs — which anchor the paid tiers — hard to justify.
- Managed compliance features are not included in the free open-source tier.
as of 2026-09-14
Verification history
We have re-verified Permit 7 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 7 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 Permit tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Open Source
$0/mo
Ideal for
Solo developers or OSS teams self-hosting the SDK who want the full authorization engine without a managed cloud bill.
What this tier adds
Starting tier — full open-source SDK with no rate limits, 21 action domains with risk defaults, and self-hosted deployment.
Cloud Starter
$0/mo
Ideal for
Teams piloting Permit0 on managed cloud who need per-decision audit records but not advanced chain detection.
What this tier adds
Adds a managed-cloud free tier with policy enforcement across frameworks and an audit-of-record per decision.
Cloud Pro
$49/mo
Ideal for
Small platform teams consolidating authorization who need to catch risky multi-step action sequences.
What this tier adds
Adds session-aware chain detection and cryptographic capability tokens on top of the managed cloud deployment.
Cloud Growth
$499/mo
Ideal for
Mid-market teams that need central override authority and exportable evidence for auditors.
What this tier adds
Adds the global kill switch, replayable evidence export, and broader compliance packs.
Enterprise
Custom
Ideal for
Regulated enterprises with data-residency requirements and full compliance-center needs.
What this tier adds
Adds managed VPC or self-hosted deployment and full compliance center access with priority support.
Where the pricing makes sense
The company stage and team size where Permit's pricing actually pencils out — and where peers do it cheaper.
Permit0's pricing ladder is unusually deep for a beta product: a genuinely free open-source SDK with no rate limits, a $0 managed-cloud Starter, then a $49/mo Cloud Pro and $499/mo Cloud Growth before Custom Enterprise. The $49/mo Pro tier fits a small platform team consolidating authorization across a few frameworks; the $499/mo Growth tier fits a mid-market team that needs the kill switch and replayable evidence. Enterprise is where the data-residency and full-compliance-center buyers land.
Setup time & first value
How long it actually takes to get something useful out of Permit — broken out by persona, not the marketing-page minute.
Developers: about 5 minutes to first value — pip install the SDK and add one @permit0.guard decorator around a tool call, with default risk policies across 21 domains active on day one. Platform engineering leads: a few hours to port a team's existing permission checks into a single portable policy enforced across LangChain, MCP, CrewAI, OpenClaw, and raw Python. CISOs and compliance leads on
Switching to or from Permit
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From hand-rolled permission checks inside agent code: replace inline checks with @permit0.guard decorators and let the 21-domain taxonomy supply defaults.
- →From a single-framework guardrail: route LangChain, CrewAI, and AutoGen tool calls through the Tool Action Compiler so one policy covers all of them.
- →From post-hoc observability-only monitoring: add the pre-execution gate in front of the tools your observability tool watches, keeping both in the stack.
- →From Okta or another identity layer: leave identity where it is and layer Permit0 on top to govern the action rather than the agent's existence.
- ↗To a general-purpose agent observability platform (Langfuse, Arize): migrate if you need to analyze agent behavior that never executes a tool call, not just gate the calls that do.
- ↗To a platform-native governor (Salesforce Agentforce, Microsoft Agent 365): migrate if your agents run entirely inside one vendor's boundary and cross-platform authorization is not a requirement.
- ↗To a full agent framework or builder: migrate if you need to author, not just authorize, agent behavior.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Permit”, and we withheld 6: 6 could not be judged, because “Permit” 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 Permit.
Official links
Featured Head-to-Head Comparisons
Permit vs Push Security
Push Security and Permit address different threat surfaces. Push Security is the right choice for security teams that need to defend browser-based attacks (AiTM, session hijacking, AI data loss) across existing browsers without migrating to an enterprise browser. Permit is purpose-built for engineering teams shipping AI agents that need deterministic pre-execution authorization to prevent risky tool calls. Choose based on your primary risk: browser-side attacks vs. agent-side actions.
Permit vs Temporal Ai
Choose Temporal AI if you need durable execution, automatic retries, and long-running workflow orchestration for mission-critical AI agents or microservices. Choose Permit if you need a pre-execution authorization layer to enforce deterministic policies and compliance on agent tool calls. They solve different problems—Temporal handles durability and state management, Permit handles access control and risk gating. Both are open-source and freemium, but their use cases rarely overlap.
Permit vs Audioeye
Permit and AudioEye solve fundamentally different problems. Permit is a pre-execution authorization layer for AI agents, ideal for engineering teams deploying automated decision-making tools with compliance needs (SOC 2, HIPAA, DORA). AudioEye is an accessibility compliance platform for websites, targeting enterprises facing ADA/WCAG lawsuits. Choose based on your primary risk: unauthorized AI actions vs. inaccessible digital content.
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