Cost Intelligence
Stop guessing your AI infrastructure spend
Track and compare 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Token-based estimates are outdated.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 Core Problem
Blended margins hide where your AI product bleeds money
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 billing invoice arrives.
- Monthly billing surprises with no real-time visibility
- Token estimates miss actual compute and routing costs
- No attribution by user, feature, or workflow phase
- Runaway agentic loops invisible until invoice day
Continuous cost observability. Our system ingests metadata asynchronously to map multi-provider rate cards instantly to active requests. You capture real-time cost-to-serve metrics while preserving your core application's execution performance.
- Real-time per-request cost attribution, always
- Exact dollar mapping across all LLM providers
- Custom dimensions: user, workspace, workflow phase
- Surface unprofitable loops the moment they start
Key Capabilities
Built for production AI infrastructure
Zero Latency Overhead.
We process usage analytics entirely out-of-band via high-throughput infrastructure. Your end-user application's LLM response speeds remain uncompromised while we index the cost metrics behind the scenes.
- Ingestion
- batched, high-volume
- Overhead
- zero added latency
- Delivery mode
- async, out-of-band
Universal Provider Auto-Mapping.
Automatically normalize and monitor usage variables across OpenAI, Anthropic, Google Gemini, AWS Bedrock, and Azure. Bear Lumen updates rate card variances dynamically.
- OpenAI
- GPT-4o, mini, o1
- Anthropic
- Claude 3.5, 3, Haiku
- AWS / Azure / Gemini
- all tiers
Granular Feature-Level Attribution.
Move beyond basic global wrapper tools. Map real execution costs directly to your custom internal dimensions, such as user segments, specific workspace domains, or agentic workflow phases.
- Segment by
- user, team, feature
- Workflow phases
- traced end-to-end
- SDK param
- bear.track(response, { ... })
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 are costing more to support than their subscription fee brings in.
Data-Backed Product Strategies
Feed actual historical data directly into your backend architecture to test alternative graduated or volume pricing models before migrating users.
Enterprise Security Focus
Your live text data stays yours. Bear Lumen strictly ingests non-identifiable usage tokens and processing metadata over secure, certified connections.
Turn AI cost assumptions into clear strategies.
Gain complete observability over your variable cost base. Start tracking your AI infrastructure today.
Free trial. Cancel anytime. Set up in minutes.