Cost Intelligence
Stop guessing your AI infrastructure spend.
Track multi-provider costs in real time.
Token-based estimates are outdated. Bear Lumen hooks asynchronously into your AI architecture to map exact infrastructure costs down to specific requests, features, and custom parameters, with zero latency overhead.
Zero latency overhead6 providers auto-detectedBuilt with SOC 2 standards in mind
The invoice arrives. The damage is done.
Blended cloud margins hide unprofitable agentic loops. Engineering teams are blind to which user queries or heavy tool-calls are bleeding money until the monthly cloud bill arrives.
- Monthly billing surprises with no real-time visibility
- Token estimates that miss actual compute and routing costs
- No attribution by user, feature, or workflow phase
- Runaway agentic loops invisible until invoice day
Continuous cost observability.
Bear Lumen ingests usage metadata asynchronously and maps provider rate cards to active requests as they happen. You get real-time cost-to-serve metrics while your application’s execution path stays untouched.
- Real-time per-request cost attribution, always on
- Exact dollar mapping across every supported LLM provider
- Custom dimensions: user, feature, workflow phase
- Surface unprofitable loops the moment they start
Key Capabilities
Built for production AI infrastructure.
Every feature instruments cost signals without touching your critical application path.
Zero latency overhead
Async metadata ingestionUsage analytics are processed entirely out of band: the SDK reads the response your provider already returned, queues events in memory, and flushes them in background batches. Your end-user response speeds stay uncompromised.
Universal provider auto-mapping
Multi-provider cost ingestionUsage is normalized across every provider the SDK auto-detects, and rate card variances are kept current so the dollar figures track what you actually pay.
- OpenAI
- GPT-4o, mini, o1
- Anthropic
- Claude families, incl. cache tokens
- Bedrock / Gemini / Mistral / Ollama
- all tracked models
Granular feature-level attribution
Context & workflow tracingMove beyond global wrapper tools. Map real execution costs directly to your own internal dimensions: user segments, workspace domains, or agentic workflow phases.
- Segment by
- user, feature, team
- Workflow phases
- metadata key-values
- SDK surface
- bear.track(res, { feature, userId, metadata })
Developer-First Implementation
Drop in the SDK. Start tracking in minutes.
Initialization is a few lines. After that, every tracked response carries its own cost attribution, and exact cost schemas are queryable straight from the SDK.
import OpenAI from 'openai';
import { BearLumen } from '@bearlumen/node-sdk';
const openai = new OpenAI();
const bear = new BearLumen({ apiKey: process.env.BEAR_LUMEN_API_KEY });
const response = await openai.chat.completions.create({
model: 'gpt-4o',
messages,
});
// Attribute cost to a user, feature, and custom dimensions
bear.track(response, {
userId: 'user_123',
feature: 'doc_parse',
metadata: { workflowPhase: 'extraction' },
});
// Query exact cost allocations programmatically
const costs = await bear.costs.summary();
Business Impact
From cost blindness to strategic clarity.
Eliminate underwater accounts
Instantly surface runaway loops and high-volume accounts that cost more to serve than their subscription brings in.
Data-backed pricing strategies
Feed actual historical usage into pricing simulations and test graduated or volume models before migrating a single customer.
Security by design
Your prompt data stays yours. Bear Lumen ingests token counts and processing metadata only, never prompt payloads or user inputs.
Turn AI cost assumptions into clear strategies.
Gain complete observability over your variable cost base. Start tracking your AI infrastructure today.
No credit card required. Free tier included. Set up in minutes.