Cost Intelligence
Stop guessing your AI infrastructure spend
Track and compare costs in real time.
Bear Lumen prices tracked AI responses against model rate cards and attributes that cost to requests, features, customers, and custom dimensions. Asynchronous tracking keeps the measurement work out of your request path.
Watch the 80-second product tourAsynchronous tracking6 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 totals alone do not show who drove the spend
- No attribution by user, feature, or workflow phase
- Runaway agentic loops invisible until invoice day
Track response usage and attribution metadata asynchronously, then price it against model rate cards. Explore cost to serve by customer, feature, and model while keeping measurement work outside the request path.
- Per-request cost attribution from tracked responses
- Usage priced against model rate cards
- Custom dimensions: user, workspace, workflow phase
- Investigate costly agents and workflow phases
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, Mistral, and Ollama. Bear Lumen updates rate card variances dynamically.
- OpenAI
- GPT-4o, mini, o1
- Anthropic
- Claude 3.5, 3, Haiku
- Bedrock / Gemini / Mistral / Ollama
- 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 its attribution dimensions. You can query cost summaries through the SDK.
import OpenAI from 'openai';
import { BearLumen } from '@bearlumen/node-sdk';
const openai = new OpenAI();
const bear = new BearLumen({ apiKey: process.env.BEARLUMEN_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 attributed costs 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.
Live pilot in 48 hours. Full unit-economics diagnostic by day 14.