Your AI app is burning money and you don't know
Nirixa gives AI teams full visibility into token costs, prompt stability, hallucination risk, and model performance – in real time. निरीक्षा. Observe everything.
Total Cost
$4,218
↑ 34% this week
Total Calls
12,840
↑ 28% this week
Total Tokens
4.2M
↑ 31% this week
Avg Latency
1.4s
p95: 3.1s
Cost by Feature Last 7 days · USD
| Feature / Endpoint | Calls | Daily Cost | Risk |
|---|---|---|---|
| /api/summarize | 4,200 | $1,240 | HIGH |
| /api/search | 3,800 | $380 | LOW |
| /api/chat | 2,900 | $820 | MED |
| /api/classify | 1,940 | $120 | LOW |
The Problem
Every AI team is flying blind.
🔥 Token costs are invisible
You know your total OpenAI bill. You have no idea which feature, user, or prompt is responsible for 80% of it.
👀 Prompts silently degrade
A small change in context or model version shifts output quality. You find out when users complain – not before.
🎲 Hallucinations go undetected
There's no early warning system. No patterns flagged. By the time it's a product crisis, trust is already damaged.
📉 No feature-level P&L
Which of your AI features is actually profitable per user? Without cost-per-feature data, pricing decisions are guesswork.
What You Get
Datadog for your AI stack.
Token Cost Intelligence
Break down spend by feature, endpoint, user, model, and prompt version. Know exactly where every dollar goes.Prompt Drift Detection
Get alerted when your prompts start producing statistically different outputs. Git-style version diffs for every prompt.Hallucination Risk Scoring
Pattern-based risk scoring per request. Flag high-risk outputs before they reach users with configurable thresholds.Latency Monitoring
p50, p95, p99 latency per model and endpoint. Trace slow calls back to their root cause instantly.Model Performance Tracking
Compare output quality across model versions, temperatures, and prompts over time. Never regress unknowingly.1-Line SDK Integration
Drop-in wrapper for OpenAI, Anthropic, and other providers. Zero config. Under 5 minutes to full visibility.
PRODUCT TOUR
Your AI stack's command center
Every token, every call, every risk — visible in real time.
No more guessing where your AI budget is going.
Overview
7d 30d 90d
💰 TOTAL COST
$2,847.32 last 7 days
⚡ TOTAL CALLS
124,891 across 4 features
◈ TOTAL TOKENS
8.4M across 6 models
◷ AVG LATENCY
312ms avg response time
COST BY FEATURE last 7d
| Endpoint | Total Cost | Calls | Avg Tokens | Avg Latency | Top Risk |
|---|---|---|---|---|---|
| /api/chat | $1,204.50 | 52,340 | 1,840 | 290ms | LOW |
| /api/summarize | $891.20 | 31,200 | 4,120 | 340ms | MEDIUM |
| /api/embed | $442.10 | 28,900 | 512 | 180ms | LOW |
| /api/classify | $309.52 | 12,451 | 2,100 | 410ms | HIGH |
RECENT CALLS 124,891 total
| TIME | FEATURE | MODEL | TOKENS | COST | LATENCY | RISK |
|---|---|---|---|---|---|---|
| 14:32:01 | /api/chat | gpt-4o | 2,140 | $0.0342 | 287ms | LOW |
| 14:31:58 | /api/summarize | claude-3-5-sonnet | 4,820 | $0.0724 | 412ms | MEDIUM |
| 14:31:45 | /api/chat | gpt-4o | 1,890 | $0.0302 | 265ms | LOW |
| 14:31:39 | /api/classify | gemini-1.5-pro | 890 | $0.0089 | 520ms | HIGH |
| 14:31:22 | /api/embed | text-embed-3-small | 512 | $0.0002 | 120ms | LOW |
Pricing
Simple. Transparent. No surprises.
Free
$0/mo
No credit card required
Get started with LLM observability.
- 50k tokens/month tracked
- 1 project · 1 API key
- Cost per endpoint (always free)
- Call logs & overview dashboard
- 365-day data retention
Starter
$49/mo
For small teams shipping AI features.
- Up to 1M tokens/month tracked
- 3 projects · 5 API keys per project
- Cost & latency dashboard
- Hallucination risk scoring
- Prompt drift detection
- Call logs with filtering
- Feature & model breakdown
- Latency analysis (p50 / p95 / p99)
- Email alerts
- 365-day data retention
Pro
$99/mo
For scaling AI products.
- Up to 10M tokens/month tracked
- 10 projects · 20 API keys per project
- Everything in Starter
- User-level cost & usage tracking
- Model comparison + cost-saving recommendations
- Priority support
- 365-day data retention
Why Nirixa
Others built tools. We built the CFO dashboard.
Every existing tool solves one piece. None of them answer the question founders actually care about: _"Where is my AI spend going, and is it worth it?"
| Feature | Helicone | LangSmith | Braintrust | Dynatrace | Nirixa ✦ |
|---|---|---|---|---|---|
| Cost per feature/endpoint | Partial | ✗ | ✗ | ✗ | ✓ |
| Prompt drift detection | ✗ | Partial | Partial | Partial | ✓ |
| Hallucination risk scoring | ✗ | ✗ | Partial | ✗ | ✓ |
| Latency monitoring | ✓ | ✓ | Partial | ✓ | ✓ |
| Startup-friendly pricing | Partial | ✗ | ✗ | ✗ | ✓ |
| 5-min setup, no DevOps | ✓ | Partial | ✗ | ✗ | ✓ |
| Profitability per feature | ✗ | ✗ | ✗ | ✗ | ✓ |