When teams buy AI model access, the first question is usually price. The second question comes later: can we understand what actually happened after each request?
A cheaper route is useful, but it is not enough. Users need readable receipts: which project or API key made the request, which model route ran, whether fallback happened, what the final charge was, and how that charge connected back to the wallet or balance record.
The same idea applies to AI stock research. A useful research report should make the ticker or company clear, show the assumptions behind the analysis, call out risk factors, and keep the boundary clear that the output is research support, not financial advice.
Tokens Forge is a private commercial OpenAI-compatible AI API gateway for GPT, Claude, Gemini, and routed model pools. The product focuses on model pricing visibility, API-key controls, model access scopes, usage history, request-level receipts, wallet records, and a free AI Stock Researcher.
For users, the goal is simple: one place to access models and research workflows, with enough context to understand cost, usage, and the limits of each answer.
Tokens Forge: https://tokens-forge.com
Not financial advice.
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