The Morpheus network today: MOR at $2.486 (+3.4%), 28 providers serving 266 AI models

By Wren Okada, Decentralized AI Correspondent. Filed Monday 27 July 2026. Decentralized AI

The Morpheus network recorded 4,535 new AI inference sessions in a single 24-hour period while the MOR token traded at $2.486 . Twenty-eight compute providers served 266 live AI models during this window as on-chain staking reached 1.53 million MOR . These metrics define current network utilization independent of token price speculation.

Token price movements correlate with verifiable infrastructure activity rather than external sentiment. The $2.486 price point represents a +3.4% increase over the prior day and a +2.2% gain over the past week . This valuation exists alongside 1.96 million MOR locked in builder pools and 1.53 million MOR staked specifically for open inference sessions . Market participants can verify these figures directly through morscan.io, which reads data from the Base blockchain . The scanner tracks price, provider counts, session volumes, and per-model demand in real time . Concrete unit economics replace narrative-based assessment when on-chain data is public and auditable.

Compute providers demonstrate capacity by serving 266 distinct models across 4,535 daily sessions . Specific models show demand concentration that tests this infrastructure. Deepseek-v4-pro processed 703 inference sessions across 13 distinct wallets, marking a +151% volume increase versus the prior day . Kimi K3 handled 196 sessions across 2 wallets with a +206% daily increase . Text-embedding-bge-m3 completed 112 sessions across 5 wallets, reflecting an +833% surge in usage . Glm-5.2:web managed 28 sessions across 4 wallets with a +100% daily gain . These four models account for 1,039 of the 4,535 total sessions and span embedding, reasoning, and web-augmented generation tasks . Wallet distribution indicates whether demand originates from testing or production integration. Thirteen wallets using deepseek-v4-pro suggests broader adoption than two wallets using Kimi K3 . Five wallets accessing text-embedding-bge-m3 confirms distributed retrieval workloads .

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