TokenPath – token-level citations for LLM output, read from attention

What it does

Most citations hand the reader a 40-page document. TokenPath hands them the exact sentence. Send the document, the question, and the answer. You get back a list of attributions: each attribution is an answer span, the corresponding document span, and how confident the match is — enough to highlight it, cite it, or log it in a few lines. For the advanced raw token-by-token map, use /v1/attributions/heatmap . Rate limits, usage metering, and key management come with the platform. # one call — TokenPath finds the phrases worth sourcing curl https://api.tokenpath.ai/v1/attributions \ -H "Authorization: Bearer $TOKENPATH_API_KEY" \ -d ' { "document": "In Q3, Northwind's revenue grew 18%…",…from tokenpath.ai

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  Token price calculator for 400+ LLMs2024 · github.com · ▲268

  Hey HN! Tokencost is a utility library for estimating LLM costs. There are hundreds of different models now, and they all have their own pricing schemes. It’s difficult to keep up with the pricing changes, and it’s even more difficult to estimate how much your prompts and completions will cost until you see the bill. Tokencost works by counting the number of tokens in prompt and completion messages and multiplying that number by the corresponding model cost. Under the hood, it’s really just a simple cost dictionary and some utility functions for getting the prices right. It also accounts for…

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  Tokenomy.ai2025 · tokenomy.ai · ▲105

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  TokenwiseJun 2026 · tokenwisehq.com · ▲143

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  A tool to benchmark LLM APIs (OpenAI, Claude, local/self-hosted)2025 · llmapitest.com · ▲55

  I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…

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  Context Compass2025 · chromewebstore.google.com · ▲16

  I built a small Chrome extension for people who write long conversations in Claude and don’t want to unexpectedly hit the 200,000-token limit. Context Compass automatically counts words and estimates token usage as you write. It updates in real time, gives you a visible percentage bar, and helps power users manage sprawling chats without losing work or flow. I built it because I kept getting the “max context” error and realized there was no way to track usage in Claude. No signups, no tracking, just a simple install. Would love any feedback or ideas for improvements. Thanks!

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  LLM Docs2025 · llm-docs.com · ▲12

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• IR
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• BA
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  Dev tools · Jul 2026 · bento.page

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  AI · Jul 2026 · github.com

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  OpenSEO▲928

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  Dev tools · Jul 2026 · openseo.so