Endpoint · inferenceGETagenttools-hub.vercel.app /api/v1/dev/token-estimator ?text=The+quick+brown+fox+jumps+over+the+lazy+dog.+Pack+my+box+with+five+dozen+liquor+jugs.
Estimate how many tokens a text consumes for each major model family (GPT, Claude, Gemini, Llama, DeepSeek) using a character/word heuristic that is within ~10% of real BPE…
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Estimate how many tokens a text consumes for each major model family (GPT, Claude, Gemini, Llama, DeepSeek) using a character/word heuristic that is within ~10% of real BPE tokenizers — enough for context budgeting and cost math, with zero dependencies. Use this when an agent needs to approximate token counts per LLM family, ±10%.Overview
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https://agenttools-hub.vercel.app/api/v1/dev/token-estimator?text=The+quick+brown+fox+jumps+over+the+lazy+dog.+Pack+my+box+with+five+dozen+liquor+jugs.
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npx teppi-check https://agenttools-hub.vercel.app/api/v1/dev/token-estimator?text=The+quick+brown+fox+jumps+over+the+lazy+dog.+Pack+my+box+with+five+dozen+liquor+jugs.curl -s https://api.teppi.xyz/v1/trust/cap_01M3XJC3B5RGFM73CTABQNT5RG