iFixAi Review (2026): Pricing, Features & Honest Verdict

TLDR

iFixAi audits a deployed agent against its real job, permissions and approvals, not just its model scores. The Apache 2.0 engine is excellent and free; the paid tiers have no public price yet. Best for: teams shipping agents that touch money or customer data. Price: from $0/mo (open source), free plan yes. Rating: 6.5/10.

What is iFixAi?

We found iFixAi on Product Hunt, where it launched on 29 September 2026. The pitch is independent auditing for agents: software that checks whether an agent stays inside the authority it was given, rather than whether its model posts a high benchmark score. The marketing site calls it the Michelin Guide for agentic trust, which is a big claim for a company whose repository was created in April 2026.

There are two products under one name. The first is an open-source Python engine on GitHub, licensed Apache 2.0, with 60 inspections that you run on your own machines with your own provider keys. The second is iFixAi OS, a hosted dashboard with paid packages called Startup, Growth, Enterprise and Agentic Enterprise. The company behind both is iFixAi Inc., a Delaware corporation, according to its terms of service.

What Are iFixAi’s Key Features?

Audits that test authority, not just capability

The core idea is sound. Evals show you whether an agent answers correctly; iFixAi asks whether it did the job its business assigned, stayed within its role, and followed the approvals you require. The site’s illustrative example shows a support agent finishing a refund ticket with every eval green, yet hid a fraud flag, paid a $1,240 refund a manager had declined, and changed a payout account on its own. That scenario is invented, but the failure mode it describes is real.

A simulation environment built from your repo

Connect a repository through a read-only GitHub connection, or through an MCP connector from Claude Code, Codex, VS Code, Windsurf or Cline. iFixAi reads the agent’s definition (repos with an AGENTS.md file are picked up directly) and generates a simulation environment listing its roles, tools, rules and the people it can reach. You review and edit that environment, which exports as environment.yaml, before any inspection runs.

Outside judges and three outcomes

Results are graded by models from a different vendor than the agent under test, and the open-source engine will not call a result citable when the judge shares a vendor with the agent. Every inspection ends as passed, failed or inconclusive, and inconclusive results are left out of the score instead of counted as passes. Three critical checks (tool authorization, privilege escalation and destruction resistance) sit apart, so a single catastrophic failure limits the grade to 60 percent.

Two reports and an audit badge

Each paid audit writes an Operational Assurance report in business terms and a Regulatory Compliance report that maps findings to the EU’s AI regulation, the NIST AI Risk Management Framework, ISO/IEC 42001 and the OWASP Top 10 for LLM Applications. Growth and above add an Audited by iFixAi badge. Oddly, the badge is earned by completing an audit, not by passing one. The site is upfront about that, but buyers who see the badge may not read the fine print.

What Is It Like to Use iFixAi?

The open-source route is quick to start. The package exists on PyPI as ifixai (version 4.0.0, Python 3.10 or newer), and the flow is pip install with a provider extra, then ifixai setup, which walks you through picking a provider, model, judge and suite. A plugin for Claude Code and a skill for other coding assistants let the assistant drive the run and explain the scorecard. Output is JSON, Markdown and an A to F grade in the terminal.

Judging is not free on your side. The README estimates a full-suite run at roughly $12 to $18 with Claude Sonnet as the single judge, or $10 to $14 with Gemini 2.5 Pro and GPT-5.4-mini as a pair, based on about 2,000 judge calls. Your agent’s own token costs are extra. That is cheap for a real audit, but it adds up if you gate every commit on it in CI.

Activity on the repository is high. It had 16,657 stars, 1,347 forks and 14 contributors when we checked, with the last commit on 25 September 2026 and v4.0.0 tagged on 15 September. One caution: the engine sends pseudonymous usage telemetry by default. It never includes code, prompts or findings, and you can switch it off with IFIXAI_TELEMETRY=0 or DO_NOT_TRACK=1, but it is opt-out rather than opt-in.

The hosted side is harder to judge. The app sign-in page offers only Google and Microsoft accounts, and the “Get started” buttons on the paid cards lead to a setup prompt or a sales call form. The site’s machine-readable summary says the paid packages are opening to a small group of design partners first, so most readers will be running the open-source engine for now.

Where Does iFixAi Fall Short?

The numbers do not line up. The marketing site says 250 inspections across more than 64 categories, and the Product Hunt listing says 69 categories. The FAQ promises up to 400 inspections. The README groups 60 inspections into 25 categories, while the site’s own machine-readable catalog lists 45 documented inspections across 16 categories. For an auditing product that sells evidence, loose counting is a bad look.

Timing claims drift too. The repository description promises an answer in under 120 seconds, while the site says under five minutes to an audit report. Neither is wrong on its own, but both cannot be the headline.

No paid price is published anywhere. The pricing cards show inspections, audits per month and agent counts, then say per agent, per month with no number. The site says pricing depends on the package, the number of agents and monthly or annual billing, and asks you to talk to the team.

The logo strip needs reading carefully. Logos from IBM, Red Hat, PwC, EY and others appear under a line saying engineers there tested the open source. The site adds, in smaller print, that these are individual engineers and not corporate endorsements.

The contract terms favour the vendor. Fees are non-refundable outside narrow warranty and breach cases, liability is limited to 12 months of fees or $100, whichever is greater, and iFixAi is not liable for anything your agent does or spends during an audit. That last clause is reasonable, but it means you should point audits at a staging endpoint, which the FAQ also recommends.

How Much Does iFixAi Cost?

iFixAi starts at $0 per month for the self-hosted open-source engine, which includes 60 inspections and community support. You pay only your model provider for the agent and the judges. Paid prices are not public. Startup includes 85 inspections and 2 audits per agent per month, Growth has 200 inspections and 4 audits, and Enterprise has 400 inspections and 8 audits, each covering up to three agents. Agentic Enterprise is a custom quote for four or more agents.

The terms fill in some billing detail. Packages renew automatically, monthly or yearly, with a reminder email 7 days before a monthly renewal and 30 days before an annual one. Unused audits do not carry over, and audits that fail to complete do not count against the allowance. Invoices are in US dollars and due within 30 days. The judge models are included in paid packages; your agent’s own token use is on your bill.

Against rivals, the free tier holds up. Promptfoo’s open-source Community edition is free with 10,000 red teaming probes a month, and its Enterprise plan is a custom quote. Galileo has a $0 plan with 5,000 traces a month and a Pro plan at $100 a month billed yearly. Confident AI publishes Starter at $200 and Team at $2,000 a month per organization. iFixAi is the only one of these hiding every paid number.

Who is iFixAi Best For?

Use iFixAi if you run an agent with real permissions, such as issuing refunds, editing records or calling internal tools, and you need evidence for a risk committee or an enterprise buyer’s security review. The open-source engine is also a good fit for engineering teams that want an authority and approval check in CI alongside their existing evals.

Skip iFixAi if you need a published price and a self-serve checkout today, or if your use case is a plain chatbot with no tools. In that case a general red teaming or eval tool will cover you. Also skip the badge if you want a pass mark: it certifies that an audit happened, not that the agent passed it.

Best iFixAi Alternatives

Promptfoo

The most mature open-source option for LLM testing and red teaming. The Community edition is free with 10,000 probes a month and runs locally or self-hosted; Enterprise and On-Premise plans are custom quotes. It has more integrations than iFixAi but less focus on role authority and business approvals.

Giskard

Giskard offers a free open-source library for local vulnerability scans and RAG evaluation, plus an enterprise platform sold through a demo with no public price. Its enterprise tier covers agent red teaming with 50 or more adversarial probes, including attacks over several turns, and tool calling security checks.

Galileo

Galileo is an evaluation and observability platform rather than an auditor. The Free plan costs $0 with 5,000 traces a month and unlimited users; Pro is $100 a month billed yearly for 50,000 traces, and Enterprise adds guardrails and on-premise deployment at a custom price.

Final Verdict: Is iFixAi Worth It?

The open-source engine is worth installing today if you ship agents with real authority. It tests the thing most eval tools skip, uses outside judges, reports inconclusive results honestly, and costs about the price of a lunch per full run in judge fees. The Apache 2.0 licence and active repository mean trying it costs almost nothing.

The paid product is harder to recommend yet. There are no public prices, access is limited to design partners, the inspection and category counts contradict each other across the site, README and launch listing, and the badge rewards finishing an audit rather than passing one. Start with the free engine, and revisit iFixAi OS once the pricing and the numbers settle.