Agnost AI Review

1,000,000 events for $499 a month is a real number, and the free tier at 1,000 events with 7-day retention is genuinely usable, not a trial wrapped in a paywall. The natural-language querying and the violation-detection angle are the differentiators here — most agent observability tools show you traces, not frustration patterns or compliance flags.

Two things stand out. One: they ingest via SDK or OpenTelemetry, which means no framework lock-in on the input side. Two: enterprise gets self-hosted VPC deployment, which tells me they expect regulated buyers.

The tradeoff: you're handing a new vendor your production conversation data, including the embarrassing parts, with encryption and no third-party training as the main assurances I could find. Fine for a pilot. I'd want the audit log details in writing before scaling past Pro.

Event-based pricing tells me how this schema is built: 1,000,000 events at $499/month on Pro means they're metering conversational turns or traces, not seats. That's the right unit for agent telemetry, but it means our usage curve directly drives spend as agent traffic scales, not headcount — a cost model I'd need to forecast against actual conversation volume, not team size.

The OpenTelemetry and OpenAPI support matter more to me than the AI detection claims. If ingestion is standards-based, the data doesn't get stranded in a proprietary trace format I can't pipe elsewhere later. The hosted MCP server with OAuth is a forward-looking integration choice for agentic tooling access, though I'd want to see how that data reconciles with our existing warehouse.

My real concern is siloing: frustration and violation detection lives in Agnost's own analysis layer, and I don't yet see how those findings join with product or revenue data I already own elsewhere.

$49/month gets 10,000 events, 30-day retention. $499/month gets 1,000,000 events, 90-day retention. That's a 100x event jump for 10x the price — generous ceiling, if you actually need it. Most teams won't; they'll overpay for headroom they don't use or get stuck mid-tier.

Three-year TCO is volume-driven, not seat-driven. 50-agent team running steady traffic might sit comfortably on Starter at $588/year. One viral spike and you're forced into Pro, $5,988/year, overnight. No published overage rate between tiers — budget for the jump, not the average.

No contract terms, auto-renewal language, or cancellation process published for Starter or Pro. Monthly billing suggests month-to-month, but I couldn't confirm it. Enterprise pricing requires a call, standard for audit logs and VPC self-hosting. Everything below that is self-serve, which procurement will appreciate.

The core analytical move here is clustering: recurring objections, unmet needs, and policy violations get grouped instead of handed to you as a wall of transcripts. That's a different job than a dashboard tool does, and the natural-language query layer is the daily interface, not an afterthought bolted on top of charts. Whether that clustering stays coherent at 1,000,000 events a month on Pro, versus degrading into noisy buckets, isn't something I can validate from a pricing page.

The violation-detection angle is the more interesting analytical surface than the frustration-detection pitch. Policy and compliance flags inside live chat/voice data are the kind of finding compliance teams will want audit trails for, and those audit logs sit only at Enterprise, which is a real gap for a mid-tier team trying to build a defensible compliance narrative on a $499/month plan.

I couldn't find a changelog, so I can't speak to how fast the clustering model itself improves over time.

This is a backend-facing tool and it reads that way everywhere, starting with the fact that there's no mention of a mobile app or responsive dashboard anywhere I could find. You're piping OpenTelemetry traces into it, reviewing prompt fixes before they ship, querying transcripts in natural language. That's a sit-down-at-your-laptop workflow, every time.

Where it gets interesting is onboarding. Starter at $49 a month includes actual onboarding help, which tells me someone on that team has watched a new customer get stuck and decided to fix it with a human instead of another tooltip. That's a good sign for the first week. Whether the Free tier at 1,000 events a month and 7-day retention is actually enough to feel the product work before you pay is a separate question I can't answer from the outside.

The natural-language query layer is the thing that'll make or break month three. If it actually answers real questions about rage-prompting and abandonment without you needing to learn a query syntax, this scales nicely. If it's a thin wrapper that only handles simple asks, you'll be back in raw transcripts by week four.

No H1 on the landing page, just a meta line: 'Monitor AI agents in production.' Fine, grounded, not oversold — no 'industry-leading' anywhere I could find. That's a point in its favor.

The harder test is whether the category holds up. 'Silent failures' detection in agent observability is exactly the pitch I've watched get crowded fast — LangSmith, Helicone, a dozen smaller entrants all circling the same production-trace problem. Agnost's angle (violation detection, natural-language querying, reviewed-not-automatic fixes) is a reasonable wedge. Whether it's defensible against a bigger observability player bolting on frustration-detection next year — open question.

Enterprise tier hides its price, standard for VPC self-hosting deals. Pro at $499/month for a million events is a real number I can hold them to. What I can't verify: what you walk away with if you cancel. Findings and improvement history — exportable, or gone?