Research
LLM Gateway vs Router vs Inference Provider: The Architecture Boundary
A clear explanation of gateway, router, provider, and serving-layer responsibilities for teams building multi-model systems.
CryptoCrypto
Tutorial
Async Image Generation API: Jobs, Polling, Webhooks, and Retries
A production implementation guide for image-generation jobs that finish later, including status design, idempotency, polling, and webhooks.
Crypto
Comparison
AI API Batch Inference Pricing: When Asynchronous Jobs Save Money
How to decide between interactive requests and batch inference using urgency, cost, retries, output matching, and failure handling.
Crypto
Research
How TokenLab Hardens AI API Reliability: Contracts, Observability, and Model Truth
AI API reliability depends on explicit request contracts, useful error semantics, request-level observability, and current model truth. TokenLab treats those as one system.
Crypto
Feature
TokenLab for Agents: Machine-Readable Models, Pricing, SDKs, and MCP
TokenLab gives coding agents public llms.txt, model data, pricing lookup, MCP tools, and integration skills so generated API code starts from current truth.
Crypto
Feature
TokenLab Model Data Center: Live Model Prices, Rankings, Trends, and Research Feeds
TokenLab Model Data Center gives developers and agents public pages, JSON endpoints, source policy, and dated model facts for fast-changing AI model decisions.
Crypto