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.
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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.
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Feature
TokenLab Seedance Materials: Reusable Video References for Production Workflows
TokenLab Seedance materials let teams prepare reusable video references, track ACTIVE status, and use material asset IDs in production video generation workflows.
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Feature
TokenLab Request Console: Debug AI API Calls from One Dashboard
TokenLab Request Console helps developers inspect request IDs, model context, billing state, cache usage, errors, timing, and redacted payloads in one dashboard view.
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Feature
TokenLab Web Agent Turns Dashboard Tasks into Guided Workflows
TokenLab introduced a Web Agent workspace in April to help users navigate dashboard tasks like API key setup, usage review, billing checks, and model selection.
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Feature
TokenLab Seedance Task Cancellation: Queued Job Billing and Cancellation Checklist
TokenLab added task cancellation for queued Seedance video jobs, helping developers stop expensive async work before it starts when prompts or inputs are wrong.
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