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DepinScope

Gensyn

$AI
49DepinScope score

Gensyn is a decentralised infrastructure layer for AI to train, verify, trade, and evolve through open digital markets.

MainnetModerate riskAdvancedCompute and GPU

Last verified 2 days ago (9 Aug 2026)

The documentation covers the launch of Delphi on mainnet, which acts as an information market. It mentions the open-source AXL node software, but does not specify hardware requirements, entry costs, or specific reward rates for running a node.

Participation at a glance

Entry cost
Node setup requires building the AXL repository from source, but no financial entry cost or hardware purchase price is specified in the documentation.
Not available · 9 Aug 2026
Reward model
Work Based
Not available · 9 Aug 2026
Launched
Not recorded
Availability
Not established

How this score was reached

Thinly documented, so verify before committing. This measures how well the network can be assessed and participated in: documentation, verification, cost of entry, maturity and operator risk. It is not a prediction of returns, and it reads nothing from token price.

  • Documentation depth13/25

    2 of 4 core areas documented (rewards, hardware, node, participation)

  • Verification strength0/20

    entry cost unavailable, rewards unavailable

  • Accessibility6/20

    entry cost not published — treated as unknown, not free

  • Operational maturity15/15

    mainnet

  • Operator risk7/12

    moderate risk, advanced difficulty

  • Verification freshness8/8

    verified within the last month

What it does

Gensyn is an open infrastructure layer for artificial intelligence, providing compute, data, and information exchange through open digital markets. It enables peer-to-peer communication between machine learning nodes, persistent on-chain identity for reputation, and cryptographic verification to ensure computations are trusted. Its live mainnet product, Delphi, allows humans and AI agents to trade predictions settled on-chain by verified AI oracles.

How it works

Gensyn coordinates machine learning resources peer-to-peer. Nodes run the AXL protocol to exchange weights, gradients, and signals. Computations are cryptographically verified to ensure they ran as specified, and participants are rewarded based on the accuracy of their models and predictions in open information markets.

How to participate

Users can participate by running an AXL node using the open-source repository on GitHub, or by deploying and trading in information markets on Delphi.

Requirements

Software
AXL node software built from source (requires Go/Make and OpenSSL for generating Ed25519 keys).

Pros and cons

Strengths

  • Open-source networking layer (AXL) is available for deployment.
  • Cryptographic verification ensures trustless computation execution.

Drawbacks

  • Previous testnet products like RL Swarm, BlockAssist, and CodeAssist have been paused and sunset.

Risks

Running a node requires compiling code from source and managing cryptographic keys, which carries technical risk. Financial risk details are not specified.

Official links

Sources

  1. Home | Gensyn · retrieved 9 Aug 2026
  2. Gensyn | the network for machine intelligence · retrieved 9 Aug 2026

This page is research, not financial advice. Figures carry the confidence label and verification date shown beside them, and reward rates can change without notice. Confirm everything against the project's official documentation before buying hardware or committing funds.