dev.workers.mike-tusa.tokentally/tokentally · v0.1.0 · ai-and-media
TokenTally by Harlo is healthy: it completed an MCP handshake in 1547 ms and exposes 4 tools.
Count tokens (o200k/cl100k), truncate to a budget, chunk text for RAG and estimate LLM cost.
Endpoint: https://tokentally.mike-tusa.workers.dev/mcp (streamable-http)
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| Users (last 30 days) | 0 |
| Handshake | Healthy |
| Auth needed | None |
| Tool count | 4 |
| Latency | 1547 ms |
| Last checked (UTC) | 2026-11-01T19:45:35.681Z |
| Checked (UTC) | Status | Latency | Error |
|---|---|---|---|
| 2026-11-01T19:45:35.681Z | Healthy | 1547 |
count_tokens | Count tokens for text in o200k_base and cl100k_base side by side, plus approximate Claude/Gemini/Llama counts with method notes. OpenAI counts (o200k_base, cl100k_base) are exact for those tokenizers. Claude, Gemini and Llama counts are APPROXIMATE (proxy encoding; real tokenizers differ, often by 1 |
truncate_to_budget | Truncate text to max_tokens (keep start or end) for an encoding or model. |
chunk_text | Split text into token-bounded chunks on paragraph/sentence boundaries with character offsets, token counts and optional overlap. |
estimate_cost | Estimate USD cost per model from text or input_tokens plus output_tokens using a dated price table (prices_as_of 2026-10-27). Estimates, not live billing. |