decompose — alternative #1 to yutu
🐍 🏠 🍎 🪟 🐧 - Decompose text into classified semantic units with authority, risk, attention scores, and entity extraction. No LLM. Determinist...
Search tools, jump to categories, and open key destinations
Recorded alternatives
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
🐍 🏠 🍎 🪟 🐧 - Decompose text into classified semantic units with authority, risk, attention scores, and entity extraction. No LLM. Determinist...
🏎️ ☁️ 🏠 🍎 🪟 🐧 - Synthetic monitoring for LLM inference endpoints. Measure TTFT, latency, throughput, and errors across OpenAI, Anthropic, Go...
📇 🏠 - Track LLM token costs across Claude, GPT and Gemini. MCP server + CLI with optimization hints and $ savings estimates. 📇🏠
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with yutu directly — Oryxen records pricing classes, not live quotes.