Fact0
FreemiumTamper-evident audit layer for AI agents to pass enterprise security reviews.
By Tanmay Verma, Founder · Last verified 04 Jul 2026
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Added 7d ago
77/100Safe BetIn short
Fact0 — Tamper-evident audit layer for AI agents to pass enterprise security reviews. Best for AI startup founders needing to close enterprise deals with evidence packs, Engineers deploying AI agents in regulated industries (fintech, healthcare, legal), Compliance officers verifying agent tool boundaries and data access. Free to start; paid plans from $79/mo.
Is Fact0 actually worth it?
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Editorial Verdict
Best for
AI startup founders needing to close enterprise deals with evidence packsEngineers deploying AI agents in regulated industries (fintech, healthcare, legal)Compliance officers verifying agent tool boundaries and data accessFintech companies auditing loan and payment agent approvalsHealthcare organizations tracking access to patient data with zero PII exposure
Not ideal for
Teams seeking a general-purpose logging or observability solutionUsers needing real-time log streaming without batchingVery small projects needing over 30K events but unwilling to pay $79/moTeams without compliance or security review requirementsOrganizations wanting agentless log capture for existing systems
Fact0 is essential for AI startups needing to close enterprise deals where security reviews are a blocker. For non-compliance use cases, the free tier's 30K event cap may chafe. It beats generic logging by delivering cryptographically verifiable evidence tailored to agent interactions.
Skip Fact0 if Skip Fact0 if you don't need to prove agent behavior to enterprise auditors and just want general-purpose logging.
Compare with: Fact0 vs Credo AI, Fact0 vs Securiti, Fact0 vs Push Security
Last verified: July 2026
What's new in Fact0
Checked 5 days agoAcross the latest 9 updates: 2 feature updates, 1 launch and 6 changelog entries.
ChangelogChangelog·17 days agoNewest
v1.2.2 — Observability Analytics Fix & Dashboard UX
Fixed GET /v1/me/analytics/errors 500 error; added contextual help sheets and page tours to 6 dashboard pages.
ChangelogChangelog·22 days ago
Go SDK v1.0.4 — Module path fix
Fixed go get package resolution by aligning module path with monorepo subdirectory layout.
ChangelogChangelog·26 days ago
SDK v1.0.5 / v1.0.3 — Python & Go fixes
Python SDK v1.0.5 fixed event_id idempotency bug; Go SDK v1.0.3 fixed HTTP retry socket leak.
ChangelogChangelog·27 days ago
v1.2.1 — LLM Traces Dashboard
Added LLM Traces dashboard page; database-level audit immutability; share link token reveal UI; OpenTelemetry instrumentation evidence pack public keys.
ChangelogChangelog·30 days ago
SDK v1.0.4 — Python SDK
Python SDK update (details in earlier entry).
FeatureChangelog·May 31
v1.2.0 — GDPR-compliant full purge, quotas, AI copilot
Added GDPR-compliant full purge, Stripe/SaaS plan quotas with secure gating, Spotlight AI copilot history, transactional email upgrades.
ChangelogChangelog·May 26
SDK v1.0.2 — All SDKs (Python, TypeScript, Go)
Updated all SDKs to v1.0.2.
FeatureChangelog·May 24
v1.1.0 — OpenTelemetry Native & environment variables
Added native OpenTelemetry support and environment variable configuration.
LaunchChangelog·May 23
v1.0.0 — SDK initial release (Python, TypeScript, Go)
First SDK release for Python, TypeScript, and Go.
What independent users actually report about Fact0
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.
28 mentions across 3 sources (YouTube, Product Hunt, Bluesky).
37% positive63% critical
Recurring strengths
- +Hash-chained ledger with SHA-256 and Ed25519 cryptography provides tamper-evident logs.
- +Supports multiple SDKs (Python, TypeScript, Go) for flexibility.
- +Natively integrates with OpenTelemetry, LangChain, LangGraph, and FastAPI.
- +Generates signed evidence packs (PDF/JSON) and read-only auditor share links.
- +Free tier offers 30,000 events/month — good for early prototyping.
Recurring frustrations
- −Zero real user feedback — cannot verify reliability or ease of use.
- −Only 18 Product Hunt upvotes, no organic community buzz anywhere.
- −Off-topic YouTube and Bluesky posts waste scraping effort.
- −No reviews from Reddit, HN, GitHub, or App Store to trust.
- −Potential lock-in: proprietary audit ledger if no export standard.
Patterns worth knowing
Complete absence of user-generated feedback
Seen on YouTube, Product Hunt, Bluesky
Founder-driven launch with no community validation
Seen on Product Hunt
Off-topic noise drowning out any real opinion
Seen on YouTube, Bluesky
Learning curve
intermediateProductive in ~A few hours to integrate SDK and configure audit ledger
Hidden costs people mention
- • Overage fees not specified
- • Enterprise pricing is opaque
Viability Score
77/100
Safe BetHow likely is Fact0 to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
80
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- Hash-chained audit ledger with SHA-256 integrity
- Ed25519 cryptographically signed evidence packs
- Python, TypeScript, and Go SDKs
- OpenTelemetry native integration
- Agent framework integrations (LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, etc.)
- Execution DAG replay and debugging
- Conversation sessions and analysis
- Versioned Prompt Registry
- Spotlight AI copilot for natural language log queries
- Real-time webhook alerts
- LLM Traces dashboard
- Read-only auditor share links
- SAML/SSO and SCIM provisioning (Enterprise)
- Self-hosted and private VPC deployment (Enterprise)
- Database-level audit immutability
About Fact0
FreemiumIntermediateAPI availableWeb · API
Fact0 is a runtime audit layer designed for AI agent teams that need to prove tool boundaries, data exfiltration guards, and human-in-the-loop policies during enterprise security reviews. It creates a hash-chained ledger secured by Ed25519 cryptography, providing mathematically verifiable logs of every agent action. Target users include founders at AI startups, engineers deploying agents in regulated industries like fintech and healthcare, and compliance officers vetting agent behavior. Core features include a tamper-evident ledger with SHA-256 chaining, signed evidence packs (PDF or JSON) with read-only auditor share links, and SDKs in Python, TypeScript, and Go. The platform integrates natively with OpenTelemetry and agent frameworks like LangChain, LangGraph, LlamaIndex, CrewAI, and AutoGen. Recent updates in v1.2.0-1.2.2 added an LLM Traces dashboard, database-level audit immutability, GDPR-compliant purge, and Spotlight AI copilot for natural language log queries. Fact0 logs every event with actor, action, resource, and outcome, chaining them with SHA-256 hashes. It generates cryptographically signed evidence packs that auditors can verify without database access. The free tier offers 30,000 events/month, Pro is $79/mo for 500,000 events, and Enterprise offers custom volume, self-hosting, SAML/SSO, and BYOK. Positioned against generic logging tools like Splunk or Datadog, Fact0 is purpose-built for agent-specific accountability needs — tool boundary logging, execution DAG replay, and agent-specific compliance mappings (e.g., SOC 2 CC6.8, CC7.2). It fills a gap that general observability platforms don't address.
Behind the Verdict
Fact0 solves a real pain point: enterprise CISOs distrust black-box AI agents. If you're pitching a fintech or healthtech agent, this tool gives you a ready-made audit trail with tamper evidence. The free tier is generous enough to trial, but 30K events disappear fast with heavy agent loops. Pro at $79/mo with 500K events is fair for production use, and the enterprise option covers self-hosting and BYOK for strict compliance shops. Where it falls short: it's not a general-purpose logger. If you need real-time streaming or broad infrastructure monitoring, Fact0 is overkill and under-equipped compared to Splunk or Datadog. Also, it demands SDK integration — no agentless capture for existing systems. For small projects without compliance pressures, the free tier's limits may frustrate. Compared to alternatives, Fact0's cryptographic evidence packs and auditor share links are unique — no other tool generates signed PDFs with chain verification. The LLM Traces dashboard and Spotlight AI copilot add debugging and querying value beyond pure compliance. Recent patches (v1.2.1, v1.2.2) show active maintenance, fixing analytics bugs and improving SDK reliability. In practice, we'd reach for Fact0 when closing a six-figure enterprise deal where the CISO demands 'prove your agent can't exfiltrate data.' For internal dev logs or basic monitoring, pass. Real-world caveat: the audit ledger is append-only and immutable — you can't edit even mistakes, but GDPR purge is now available. Also, the free tier's 5 evidence exports/month may sting if you're sharing with multiple prospects.
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Real-world workflow fit
Concrete scenarios for the personas Fact0 actually fits — and what changes day-one when you adopt it.
AI startup founder
Founder needs to close an enterprise deal; CISO demands proof of agent tool boundaries and data exfiltration guards.
Outcome: Install Python SDK, log all agent actions, generate signed evidence pack, share read-only link. Deal unblocked within hours.
Compliance officer
Need to verify that a healthcare administrative assistant never accessed patient records without authorization.
Outcome: Query audit logs via Spotlight AI copilot for PII access events. Export tamper-evident report for HIPAA audit. Done in minutes.
Platform engineer
Engineer wants to debug a failed autonomous support bot run that refunded a customer incorrectly.
Outcome: Replay execution DAG to see exact tool calls and decisions. Identify bug in prompt logic. Fix deployed same day.
Use Cases
- Prove every tool permission and data access in fintech loan agents for regulators
- Track patient data access in healthcare administrative assistants with zero PII exposure
- Show exactly what an autonomous support bot changed, refunded, or escalated
- Audit document deletes, shares, and AI-generated summaries for legal/HR workflows
- Generate SOC-2 and HIPAA-ready evidence packs for enterprise security reviews
Limitations
- Free plan caps at 30,000 events/month with 30-day retention and only 5 evidence exports/month.
- Pro tier limits to 500,000 events/month.
- The SDK is asynchronous and non-blocking, which may require architectural adjustments for synchronous-only workflows.
- Self-hosting and BYOK are only available on the Enterprise plan, which requires a sales conversation.
as of 2026-07-03
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Annual total
Free
Over 12 months
Effective monthly
Free
Billed monthly
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Fact0 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 founder or small startup instrumenting a single agent for first security review; up to 30k events/month.
What this tier adds
Starting tier with 30k audit events, 5 GB storage, 30-day retention, 1 seat, and 5 evidence exports/month.
Pro
$79/mo
Ideal for
Small team shipping AI agents in production; needs 500k events, 90-day retention, and collaboration tools.
What this tier adds
Adds 500k events, 90-day retention, 5 seats, Slack/PagerDuty alerts, execution DAG replay, and versioned Prompt Registry.
Enterprise
Custom
Ideal for
Large organization or regulated industry requiring custom volume, self-hosting, SAML/SSO, and dedicated SLAs.
What this tier adds
Custom event volume, unlimited seats/exports, BYOK, self-host/VPC, SAML/SSO, SCIM, and custom SLAs.
Integrations
LangChainLangGraphLlamaIndexCrewAIAutoGenAgnoCAMEL AIOpenAI Agents SDKGoogle ADKMastraVercel AI SDKChatDevFastAPINext.jsExpress
Where the pricing makes sense
The company stage and team size where Fact0's pricing actually pencils out — and where peers do it cheaper.
Fact0's free tier (30k events/mo) is ideal for startups proving their agent. Pro at $79/mo suits small production teams. Enterprise is custom-priced, likely competitive with Splunk or Datadog but focused on agent audit. No other tool offers this niche at this price point.
Setup time & first value
How long it actually takes to get something useful out of Fact0 — broken out by persona, not the marketing-page minute.
For founders and engineers: install the Python SDK via pip, add audit.log calls to your agent code, and start logging within 30 minutes. For compliance officers: no setup needed—access read-only share links or query via Spotlight AI copilot immediately after logging is enabled.
Switching to or from Fact0
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Migrating in
- →From Splunk/ELK: Replace generic logging with Fact0's hash-chained audit events via SDK integration for AI agents.
Migrating out
- ↗To open-source ledger: Export all audit events as JSON evidence packs and import into custom storage.
Resources & Guides
Frequently Asked Questions
Tools that pair well with Fact0
Common stack mates teams adopt alongside Fact0, with the specific reason each pairing earns its keep.
Credo AI
Enterprise AI governance platform for continuous risk management and compliance across agents, models, and applications.
Securiti
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Featured Head-to-Head Comparisons
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