What counts as a tracked call?

One tracked call is one request to your AI endpoint — one time your app calls a model and you fire the argoos tracking request afterward. It maps 1:1 to your LLM calls, regardless of token count.

What happens if I go over my monthly limit?

We don't cut you off mid-month. You'll get an email when you're approaching your limit, and we'll work with you to upgrade.

Which AI providers and models does argoos support?

All of them. Argoos is provider-agnostic — OpenAI, Anthropic, Google Gemini, Mistral, Cohere, or any custom model running on your own infrastructure.

Do you store my prompts and outputs?

Only if you send them. Passing inputText and outputText in the tracking call is optional. If you leave those fields out, argoos only sees metadata — model, latency, tokens, cost.

What's the difference between argoos and just checking if my API returned a 200?

A 200 tells you the call completed. Argoos tells you whether the answer was actually useful — whether required fields are present, confidence scores are in range, and whether the response drifted from what you defined as good.

Can I cancel or downgrade at any time?

Yes, no lock-in. Cancel from your account settings at any time and you keep access until the end of your billing period.

How long does setup take?

Most teams are tracking live production calls within 10 minutes. You add one fetch call after your AI response — no SDK to install, no pipelines to change, no infrastructure to manage.

Quality · UX · Profitability

AI product
quality monitoring

Track the quality your users actually experience — across every model, endpoint, and feature. See what drives engagement, where quality degrades, where users drop off, and which endpoints are actually worth the cost.

Know the quality of your product

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3

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Loved by 1000+ Founders & Product Teams building AI products

useargoos.com/app/dashboard

argoos

alex@company.com

Dashboard

Last 7d

30d

All time

Total Spend

$3,241.89 +12%

Total Requests

52,847 +23%

Avg Cost / Req

$0.0613 -8%

Error Rate

2.3% -0.4%

Cost Over Time

By Model

Model	Reqs	Valid	Cost
gpt-4o	12,847	94.7%	$1,145.22
gpt-4o-mini	28,392	97.2%	$352.06
claude-3-5-sonnet	11,608	91.4%	$1,744.61

Endpoints

Endpoint	Reqs	Errors	Cost
/api/analyze	18,403	3.1%	$1,209.44
/api/summarize	21,891	1.8%	$876.33
/api/translate	9,847	2.9%	$1,014.22
/api/chat	2,706	0.7%	$141.90

Users

User	Requests	Spend	Error rate	Last seen
user_8f2a91	4,821	$312.44	1.2%	2m ago
user_3c7e04	3,109	$201.87	4.7%	18m ago
user_1d9b62	2,847	$189.23	0.9%	1h ago
user_5a0f38	1,923	$143.11	2.1%	3h ago

Why argoos

Built for the product,
not the model

Stop guessing whether your AI features are actually working. See the experience your users get, in real time.

/api/analyze response

2 issues found

"summary": "The product reduces churn by surfacing..." valid

"sentiment": "positive" valid

"confidence": 0.41 low quality

"key_points": ["efficiency", "cost savings", "UX"] valid

"action_items": null missing

"follow_up": "" empty

See the quality your users actually get

Not whether the API responded — whether the answer was actually useful. Validate structure, completeness, and semantic quality on every single response.

Quality score — /api/chat

Quality drop detected

↓ 18% since last deploy

Before

96.2%

After

78.4%

Catch regressions before your users do

Model updates, prompt changes, new releases — any of them can silently break the experience. Know the moment quality drops.

User engagement

user_8f2a91

142 sessions

98.8%

user_3c7e04

89 sessions

95.3%

user_1d9b62

12 sessions

61.2%

at risk

user_5a0f38

7 sessions

58.7%

at risk

Know who's getting value — and who's about to leave

See which users are sailing through and which ones are hitting walls. Catch the silent quitters before they're gone.

Cost vs. engagement — by endpoint

Cost / req Engagement

/api/analyze

$0.089

91%

/api/summarize

$0.032

94%

/api/translate

$0.094

38%

/api/classify

$0.071

29%

Find out what's worth the cost

Some features cost 10× more and deliver half the engagement. See cost vs. outcome per endpoint so you know where to double down — and what to cut.

How it works

Up and running
in minutes

No infrastructure to manage. No pipelines to rebuild. Just a single call and you're tracking.

No SDK, no agents, no model wrapping. You keep full control of your AI calls — argoos just observes the outcome. Works with any model, any provider.

track.ts

// After every AI call, fire one request
await fetch('https://useargoos.com/api/track', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({
    projectToken:  'your-project-token',
    endpointName:  '/api/analyze',
    provider:      'openai',
    model:          'gpt-4o',
    inputTokens:   promptTokens,
    outputTokens:  completionTokens,
    latencyMs:     Date.now() - startTime,
    // optional — unlocks per-user insights
    userId:         session.userId,
    outputText:    response.content,
  })
});

Works with OpenAI, Anthropic, Gemini, Mistral, or any custom model.

Pricing

Simple, transparent pricing

Start free. Scale when you need to. No hidden fees, no per-seat nonsense.

Free

For side projects and early exploration.

$0 forever

10,000 tracked calls / month
1 project
7-day data retention
Response quality scoring
Endpoint monitoring
Regression alerts
Per-user analytics
Priority support

Get started

Questions you'll have

Start monitoring your AI
in under 5 minutes

One tracking call. No infrastructure. Know exactly what your users are experiencing — starting today.

Get started for free Talk to us

No credit card required.

AI productquality monitoring