What is the Master Score for TensorClaw (SN92)?

TensorClaw currently holds a Master Score of 16/100 (rating: F). The score combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Higher scores indicate stronger multi-dimensional momentum.

Is TensorClaw (SN92) a good Bittensor subnet to stake?

ICM Analytics tracks TensorClaw (SN92) with a composite Master Score of 16/100. Consider market momentum, GitHub activity, and AI usefulness scores together. Visit the full scorecard at https://icm-analytics.com/bittensor/subnets/92/ for current evidence and scoring breakdown. This is not financial advice.

TensorClaw

Name: TensorClaw (SN92) — Bittensor Subnet Intelligence
Creator: ICM Analytics
License: https://creativecommons.org/licenses/by/4.0/

SN92 · ᚂ

This project is a decentralized Large Language Model (LLM) inference subnet built on the Bittensor network. Its core purpose is to aggregate high-quality LLM API nodes (e.g., OpenAI, DeepSeek, Claude, Llama) globally through Bittensor's incentive mechanism, providing a unified, highly available, and load-balanced compatible API service to the public.

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Frequently Asked Questions

: TensorClaw (SN92) is This project is a decentralized Large Language Model (LLM) inference subnet built on the Bittensor network. Its core purpose is to aggregate high-quality LLM API nodes (e.g., OpenAI, DeepSeek, Claude, Llama) globally through Bittensor's incentive mechanism, providing a unified, highly available, and load-balanced compatible API service to the public. It is part of the Bittensor decentralized AI network, scored daily by ICM Analytics across market dynamics, GitHub development activity, and AI fundamentals.
: TensorClaw holds a Master Score of 16/100 (rating: F). This combines Market Score (35%), GitHub Score (40%), and AI Score (25%). Scores above 65 indicate strong multi-dimensional momentum.
: ICM Analytics updates TensorClaw's scores daily from TaoStats market data, GitHub API development signals, and LLM-driven AI analysis. Score history and evidence are displayed in the scorecard above.

Data sourced from TaoStats (market data), GitHub API (development signals), and proprietary LLM analysis (AI score). Updated daily. Scoring methodology →