asqav
Cryptographically signed, independently verifiable receipts for every AI agent action.
Shortlist Asqav if you need regulator-ready evidence for AI agent actions — it turns logs into portable, independently verifiable receipts with ML-DSA-65 signing, SHA-256 chaining, and dual external anchoring (RFC 3161 plus OpenTimestamps), and its profile is cited by the OWASP AI Exchange. The three-phase intent/decision/execution signing and out-of-process signing are the differentiators: they let a third party verify what your agent did without trusting you or Asqav. If you want lightweight agent observability — traces, dashboards, latency metrics — Langfuse or LangSmith are cheaper and faster to stand up, and cloud signing here runs 0.6–2 seconds per receipt. Choose Asqav for audit
Verified 2d ago · liveness 61/100 · cite: rightaichoice.com/tools/asqav
- Compliance officers auditing AI agent deployments under EU AI Act, DORA, NYDFS, SEC 17a-4, HIPAA
- Security teams enforcing AI governance with guardrails, approvals, and quarantine
- Developer teams wiring agentic workflows that need tamper-evident audit trails
- Enterprise risk managers needing regulator-ready evidence for agent actions
- Teams wanting lightweight agent observability without cryptographic overhead
- High-throughput real-time agent loops that can't absorb 0.6–2s cloud signing latency without self-hosting
- Projects with no regulatory recordkeeping or audit requirement
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Skip Asqav if you want lightweight agent tracing and evals rather than cryptographic proof of what each agent action was permitted to do, or if you cannot absorb cloud signing latency of 0.6–2 seconds and will not self-host the signer.
Free signing stops dead at the 1,000-per-day or 25,000-per-month cap, so a production workflow hitting either limit simply fails to produce receipts until you upgrade.
Free fits a solo developer or small team piloting 10 agents under 25K signatures a month. Pro at $79/mo ($948/yr billed annually, 20% off monthly) fits a growing team of up to 10 running 50 agents and 250K signatures. Enterprise is contact-sales for unlimited scale plus self-hosted signer and SSO. Against Langfuse and LangSmith, which price observability far lower but do not produce verifiable receipts, Asqav costs more because you are buying evidence, not dashboards.
In short
asqav — Cryptographically signed, independently verifiable receipts for every AI agent action. Best for Compliance officers auditing AI agent deployments under EU AI Act, DORA, NYDFS, SEC 17a-4, HIPAA, Security teams enforcing AI governance with guardrails, approvals, and quarantine, Developer teams wiring agentic workflows that need tamper-evident audit trails. Free to start; paid plans from $79/mo.
What's new in asqav
Checked 2 days agoAcross the latest 5 updates: 2 feature updates, 1 changelog entry and 2 news mentions.
Self-attested vs independently verifiable receipts
Asqav explains the difference between receipts signed only by the platform and receipts anchored by an unaffiliated party, and why the second kind is what a skeptical auditor should ask for.
OWASP AI Exchange cites Asqav compliance-receipts profile
The OWASP AI Exchange linked Asqav's draft-marques-asqav-compliance-receipts Internet-Draft as an open profile for tamper-evident AI-agent logging.
Out-of-process signing for high-assurance agent audit trails
Signing moves into a separate trust boundary so that even a compromised agent cannot produce forged receipts, strengthening the evidence chain for high-assurance deployments.
Signed receipts for AI coding agents
Code-authorship receipts create a signed, chained, anchored record of who key-authored a change and when, replacing mutable git author strings in AI coding workflows.
SDK 0.6.0: offline and air-gapped verification
SDK 0.6.0 lets you snapshot the public key directory once, then verify ML-DSA-65 post-quantum receipts with no network access — useful for air-gapped and low-trust environments.
What people actually say about asqav — 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.
2 mentions across 1 source (Bluesky) · researched Jul 23, 2026.
Average across the 1 source that answered — each source counts once, not each post.
- +Cryptographic proof for every AI agent action with tamper-evident receipts.
- +Post-quantum ML-DSA-65 signing future-proofs against quantum attacks.
- +Offline verification via public key directory snapshots for air-gapped use.
- +Three-phase signing captures intent, decision, and execution for full audit.
- +Open-source SDK under MIT license encourages community contributions.
- −Very early-stage with limited user base and real-world feedback.
- −Enterprise pricing is not publicly listed; may be expensive for small teams.
- −Documentation and community resources are still sparse.
- −Requires intermediate technical skill; not beginner-friendly.
- −No mobile or web UI beyond CLI and SDK; relies on developer tools.
- • Enterprise pricing not public; volume-based costs unknown
- • Potential overage fees beyond free tier limits
Viability Score
How well maintained and how widely used is asqav? 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
- Cryptographic signing of agent actions with ML-DSA-65 (NIST FIPS 204)
- Tamper-evident receipts with SHA-256 hash chain linking each action to the prior one
- Three-phase signing: intent, decision, and execution
- Independent timestamps via RFC 3161 and OpenTimestamps
- SHA-256 hash chaining across the full action history
- Offline and air-gapped verification via public key directory snapshot
- Post-quantum receipt verification (ML-DSA-65) without network access
- Code-authorship receipts for AI coding agents
- Out-of-process signing in a separate trust boundary
- Policy enforcement with recorded rules and decisions
- Guardrails that block egress to unsanctioned domains
- Approvals queue and quarantine mode for non-compliant agents
- Incident management with risk and incident classification
- Replay API for reconstructing action timelines
- SIEM streaming via OpenTelemetry and webhooks
About asqav
Asqav is an evidence layer for AI agents. It converts each agent action into a tamper-evident receipt signed with ML-DSA-65, chained to the prior receipt via SHA-256, and anchored with RFC 3161 timestamps and OpenTimestamps. Each receipt captures three phases — intent, decision, and execution — so you can see what the agent planned, which policy gated it, and what actually ran. Receipts can be verified by anyone without an Asqav account, including offline and in air-gapped environments via a snapshot of the public key directory (SDK 0.6.0). The platform covers policy enforcement, guardrails, an approvals queue, quarantine mode, incident management, a Replay API, and SIEM streaming via OpenTelemetry and webhooks. It ships Python and TypeScript SDKs, a CLI, and an MCP server, and integrates with frameworks and model providers including OpenAI, Claude, LangChain, LlamaIndex, CrewAI, n8n, LiteLLM, and Vercel. Out-of-process signing places the signing key in a separate trust boundary so a compromised agent cannot forge receipts, and code-authorship receipts give AI coding agents a signed, chained record of who authored a change. The receipt profile is cited by the OWASP AI Exchange and submitted as an IETF Internet-Draft. Asqav is aimed at compliance officers, security teams, and developers who need to show regulators and auditors what an AI agent did and whether it was allowed.
Behind the Verdict
Asqav occupies a narrower, more defensible slot than most agent-observability tools. Where Langfuse, LangSmith, and Helicone focus on traces, evals, and dashboards for developers debugging prompts, Asqav focuses on evidence: who can prove, later, that an agent action happened and was permitted. The mechanics matter. Every action produces one signed receipt covering three phases — what the agent intended before it ran, the policy gate and the decision it reached, and what tool actually executed, with input and result digests. Receipts are chained, so each signs the one before it and editing history breaks the chain. Two independent anchors (RFC 3161 timestamps and OpenTimestamps) establish that a digest existed by a point in time. That combination is what makes the record portable to an auditor without trusting the vendor. SDK 0.6.0 pushed this further: snapshot the public key directory once, then verify ML-DSA-65 post-quantum receipts with no network access, which matters for air-gapped and low-trust environments. Out-of-process signing moves the signing key into a separate trust boundary so a compromised agent cannot mint valid receipts — a real architectural answer to the "who watches the agent" problem. The code-authorship receipt extends the same idea to AI coding agents, where git author strings are mutable. The honest weaknesses are operational. Cloud signing latency runs 0.6–2 seconds, so Asqav is a poor fit as an inline gate on high-throughput real-time workloads unless you self-host the signer, which is Enterprise-only. The Free tier caps at 25,000 signatures per month with a 1,000/day cap, 10 agents, 10 policies, and 2 reports; Pro holds 250,000 signatures per month with a 10,000/day cap, 50 agents, 100 policies, and 25 reports. A single workflow can create several signatures, so the caps bite faster than the raw numbers suggest. Enterprise is contact-sales and is where self-hosted signer, multi-party signing, SSO/SAML, bring-your-own KMS, IP allowlist, and SD-JWT credentials live. The docs are admirably explicit that a receipt is not compliance — it supports recordkeeping under EU AI Act Art. 12, DORA, SEC 17a-4, HIPAA, NYDFS 500.06, and others, but your reviewers still assess the system and its controls. That candor is a good sign, and it is also the boundary of what you are buying. Fit it where audit evidence, not runtime speed, is the constraint.
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Real-world workflow fit
Concrete scenarios for the personas asqav actually fits — and what changes day-one when you adopt it.
Connect agent frameworks through the SDK or an integration so every high-risk action produces a signed receipt covering intent, policy decision, and execution, then review runs and incidents in the dashboard.
Outcome: Generate an EU AI Act Article 12 audit pack or SEC 17a-4 evidence bundle that a regulator or auditor can verify independently without an Asqav account.
Register policies and guardrails for each agent, route risky actions to the approvals queue, and enable quarantine mode for agents that fall out of compliance.
Outcome: Agent egress to unsanctioned domains is blocked and every decision is recorded in the hash-chained receipt trail, with incidents classified in one workspace.
Install the Python or TypeScript SDK, call govern() with an API key to create a governed agent with ML-DSA-65 keys, then call sign() with a trace_id across agents.
Outcome: The Replay API reconstructs the full action timeline from signed logs, and receipts stream to existing SIEM tooling via OpenTelemetry or webhooks.
Use Cases
- Sign every API call an AI agent makes so each action carries a verifiable cryptographic receipt
- Assemble EU AI Act Article 12 audit packs and evidence bundles from signed receipts
- Enforce guardrails that block agent egress to unsanctioned domains
- Trace multi-agent workflow actions under a single trace_id across agents
- Verify ML-DSA-65 receipts offline in air-gapped environments from a snapshot key directory
- Reconstruct and replay any agent's action timeline via the Replay API
- Give auditors third-party read access to evidence without an Asqav account
- Record code-authorship for AI coding agents when git author strings are mutable
Models Under the Hood
as of 2026-09-01
Limitations
- Free tier caps at 25,000 signatures per month with a 1,000-per-day cap, 10 agents, 10 policies, 2 reports per month, 30-day log retention, and 3 team members; signing stops at the daily or monthly cap.
- Pro holds 250,000 signatures per month with a 10,000-per-day cap, 50 agents, 100 policies, 25 reports, 1-year retention, and 10 team members, and supports metered overage at a rate you must confirm with sales.
- A single workflow can create several signatures, so capacity is consumed faster than the signature count suggests.
- Self-hosted signer, multi-party signing, SSO/SAML, bring-your-own KMS, IP allowlist, and SD-JWT credentials are Enterprise-only and contact-sales.
- Cloud signing latency is 0.6–2 seconds; self-hosted deployments reach sub-millisecond.
- Paid plans are arranged with the Asqav team rather than self-serve checkout.
- The vendor states plainly that receipts support recordkeeping but do not by themselves establish legal compliance — reviewers still assess the system and its controls.
as of 2026-09-13
Verification history
We have re-verified asqav 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-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
- — re-checked, vendor evidence unchanged
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 asqav 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
Solo developer or small team piloting up to 10 agents and testing signed receipts before committing budget.
What this tier adds
Free entry point: 25,000 signatures/month (1,000/day cap), 10 agents, 3 team members, 30-day retention, unlimited independent verification.
Pro
$79/mo
Ideal for
Growing team of up to 10 running production agent workflows that need a full year of retained signed receipts.
What this tier adds
Adds 250,000 signatures/month (10,000/day cap), 50 agents, 100 policies, 25 reports, 1-year retention, RFC 3161 timestamps, guardrails, and the approvals queue.
Enterprise
Custom
Ideal for
Regulated enterprises needing custom scale, self-hosted signing, and identity controls for governance review.
What this tier adds
Adds unlimited agents, policies, reports and retention, plus self-hosted signer, multi-party signing, SSO/SAML, bring-your-own KMS, IP allowlist, and SD-JWT credentials.
Where the pricing makes sense
The company stage and team size where asqav's pricing actually pencils out — and where peers do it cheaper.
Free fits a solo developer or small team piloting 10 agents under 25K signatures a month. Pro at $79/mo ($948/yr billed annually, 20% off monthly) fits a growing team of up to 10 running 50 agents and 250K signatures. Enterprise is contact-sales for unlimited scale plus self-hosted signer and SSO. Against Langfuse and LangSmith, which price observability far lower but do not produce verifiable receipts, Asqav costs more because you are buying evidence, not dashboards.
Setup time & first value
How long it actually takes to get something useful out of asqav — broken out by persona, not the marketing-page minute.
Developers: install pip install asqav or npm install @asqav/sdk, get an API key from the dashboard, and call govern() to create a governed agent with ML-DSA-65 keys — first receipt in under 15 minutes. Compliance officers: first audit pack requires wiring at least one agent and registering policies, realistically a day. Security teams: guardrails, approvals queue, and quarantine mode need policy
Switching to or from asqav
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From plain application logs: wrap agent calls with agent.sign() so each action produces a signed receipt instead of an append-only log line.
- →From an LLM observability tool like Langfuse or LangSmith: keep the traces, and add Asqav signing around the same agent calls to get verifiable evidence.
- →From a git-authorship audit: switch AI coding agent changes to code-authorship receipts, which are signed and chained rather than relying on mutable git author strings.
- →From manual compliance spreadsheets: export signed receipts into compliance reports that map receipt fields to EU AI Act, DORA, or NIST AI RMF requirements.
- ↗To a general observability stack: export receipts and stream via OpenTelemetry or webhooks into your existing SIEM, though you lose independent cryptographic verification.
- ↗To self-hosted signing: Enterprise customers move signing out of Asqav's cloud into their own trust boundary with a self-hosted signer.
- ↗To a SCITT transparency service: export receipts as COSE_Sign1 over ML-DSA-65 and submit them to the transparency service of your choice.
- ↗To another agent-governance platform: receipts are a public IETF profile and verifiable without an Asqav account, so past evidence does not become unreadable.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “asqav”, and we withheld 6: 6 could not be judged, because “asqav” 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 asqav.
Official links
Featured Head-to-Head Comparisons
Asqav vs Audioeye
Choose asqav if you need tamper-proof audit trails for AI agents to meet emerging AI regulations (EU AI Act, DORA). Choose AudioEye if your primary compliance burden is web accessibility (ADA/WCAG) and you need an automated overlay plus human audits. They solve fundamentally different compliance domains, so the decision depends on whether your risk is AI governance or digital accessibility.
Asqav vs Push Security
Choose Push Security if your priority is real-time defense against browser-based attacks (AiTM, ClickFix, session hijacking) and visibility into employee AI tool usage. Choose Asqav if you need cryptographically verifiable audit trails for AI agent actions to meet compliance requirements like EU AI Act or DORA. They address different problems — Push secures the browser environment, Asqav ensures agent action integrity.
Asqav vs Sublime Security
Choose Asqav if your priority is regulatory compliance and cryptographic proof for AI agent actions; choose Sublime Security if your main concern is advanced email phishing and BEC detection. They solve entirely different problems, so your decision depends on whether you need audit trails or email threat protection.
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