AI Products Quality Monitoring

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Argoos is an AI Products Quality Monitoring tool that tracks the quality users experience across models, endpoints, and features. It helps identify quality degradation, user drop-offs, and cost-effectiveness of AI endpoints in real-time.

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At a glance

Pricing

Freemium · Paid · Enterprise

Free tier

Yes

API

Skill level

Technical

About

What is AI Products Quality Monitoring?

Argoos provides comprehensive AI product quality monitoring, allowing teams to track the actual user experience across all AI models, endpoints, and features. It helps identify what drives engagement, where quality degrades, and which endpoints are truly worth their cost. The platform offers real-time AI response quality scoring, structural and semantic response validation, and regression detection across model updates. Users can also access per-user engagement and drop-off analytics, alongside cost versus engagement analysis by endpoint. Argoos supports multiple AI providers like OpenAI, Anthropic, Gemini, and Mistral, and is designed for quick setup, with most teams tracking live production calls within 10 minutes by adding a single tracking call after each AI response.

Best used for

Ideal for product managers and developers who need to ensure their AI features are working as expected, catch quality regressions before users are impacted, and optimize the cost-effectiveness of their AI endpoints. Especially valuable for teams building AI products that require continuous monitoring and performance insights.

Common actions

monitor AI quality

track AI performance

validate AI responses

detect AI regressions

analyze AI costs

AI monitoringanomaly detectionAI operationsproduction monitoringmodel performancequality assuranceobservabilityMLOps

Capabilities

Key features

Real-time quality scoring
Response validation
Regression detection
User engagement analytics
Cost vs. engagement analysis
Multi-provider support

Target Audience

product managerdeveloperdata scientiststartup founder

Integrations

Not yet documented

Pricing & Plans

Freemium · Paid · Enterprise

Not Disclosed

FAQs

What constitutes a 'tracked call' in Argoos?

One tracked call in Argoos corresponds to one request made to your AI endpoint. This means every time your application calls a model and you subsequently fire the Argoos tracking request, it counts as one tracked call, regardless of the token count.

Which AI providers and models are supported by Argoos?

Argoos is provider-agnostic and supports all major AI providers and models, including OpenAI, Anthropic, Google Gemini, Mistral, Cohere, and any custom models running on your own infrastructure. It works as long as you can send an HTTP request after an AI response.

Does Argoos store my prompts and outputs?

Argoos only stores your prompts and outputs if you choose to send them. Passing `inputText` and `outputText` in the tracking call is optional. If these fields are omitted, Argoos only collects metadata such as model, latency, tokens, and cost, ensuring you retain control over your data.

How does Argoos differ from simply checking if an API returned a 200 status code?

While a 200 status code confirms a call completed, Argoos goes further by assessing if the AI response was actually useful. It validates structural integrity, checks for required fields, ensures confidence scores are within range, and detects if the response deviates from your defined quality standards, catching silent quality failures that status codes miss.

What happens if I exceed my monthly tracked call limit?

Argoos does not cut off your service mid-month if you exceed your limit. You will receive an email notification as you approach your limit, and the team will work with you to facilitate an upgrade, ensuring continuous visibility into your AI product's quality.

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