Agentic AI Comparison:
NetX vs Skyfire

NetX: 9

NetX is designed as a full execution and settlement environment for autonomous agents, combining an AI-oriented L1 mainnet with secure computation and hardware-attestation concepts so agents can act, coordinate, and verify behavior on-chain. Trias’s vision emphasizes trustless, verifiable agents that can operate across heterogeneous hardware and chains, using the NetX mainnet as a base for agent economies, smart contracts, and potentially AI-driven consensus and governance. While specific off-chain orchestration tooling is less productized than Skyfire’s payment interface, the scope of autonomy it targets (logic, state, cross-chain and cross-environment actions) is broader than pure payments.

Skyfire: 8

Skyfire directly enables transaction autonomy for AI agents by giving each agent its own wallet, converting business funds into USDC, and allowing agents to spend within configurable per-transaction and time-based limits. In production pilots (e.g., Denso sourcing materials, Payman paying contractors), agents can complete end-to-end purchasing flows without humans handling the payment step, only escalating when limits are exceeded. However, Skyfire itself does not build or orchestrate the agents’ decision logic; autonomy is largely focused on payments rather than the broader planning, coordination, or execution stack.

NetX: 6

NetX, as an L1 AI-powered mainnet and part of the broader Trias stack, targets developers and infrastructure teams rather than non-technical business users. Using NetX requires familiarity with blockchain tooling (wallets, smart contracts, gas fees) and likely with Trias-specific SDKs or runtimes, which raises the barrier to entry compared with a focused SaaS-style dashboard. Over time, tooling and alliances may improve UX, but at present NetX is structurally more complex to adopt than a narrowly scoped payment network like Skyfire.

Skyfire: 8

Skyfire is positioned as a B2B SaaS-like payment layer: companies can deposit USD, which Skyfire converts to USDC, and then manage spend limits and monitoring via a dashboard and APIs. The abstraction of crypto complexity (stablecoin use, wallets per agent) behind a business-friendly interface plus clear controls (limits, human review on overspend) make it relatively easy for enterprises to adopt as a payment module for existing agents. Documentation is not publicly detailed in sources, but the product is clearly oriented around straightforward integration for specific use case flows (procurement, contractor payments, etc.).

NetX: 9

NetX is conceived as a general-purpose AI and agent infrastructure combining a mainnet, trusted computing, and cross-chain capabilities so it can support diverse applications: AI services, autonomous agents, DeFi integrations, enterprise computing, and more. Because it is an L1 with smart contract support and AI-centric design, developers can encode custom logic, token economics, and verification schemes, making it suitable for many verticals beyond payments. This architectural breadth gives NetX significantly higher flexibility for long-term, multi-domain agent ecosystems.

Skyfire: 7

Skyfire is flexible within the domain of payments: it supports multiple AI agent use cases (procurement, contractor marketplaces, potentially e-commerce) and allows granular spend controls, transaction limits, and monitoring. The protocol is intended to be open so other companies—including competitors—can build on it for agent payments, suggesting extensibility within the payment layer. However, its functional scope is intentionally narrow: it does not manage general agent orchestration, governance, or non-payment on-chain logic, which constrains flexibility to financial transactions.

NetX: 8

NetX, as a blockchain mainnet, is expected to use a gas-fee model, where the cost per transaction is usually much lower than 2–3% of value transferred, especially for large-value operations. For developers deploying smart contracts and high-frequency agent interactions, this model can be significantly more cost-efficient at scale, though it introduces volatility linked to network demand and token price. However, teams must invest in development and infrastructure on NetX, shifting some cost from per-transaction fees to engineering and DevOps.

Skyfire: 6

Skyfire’s revenue model charges 2–3% of every transaction, making it easy to understand but potentially expensive for high-volume or low-margin businesses. On the other hand, it removes the need to build bespoke stablecoin, wallet, and compliance infrastructure for AI payments, which can reduce development and operational overhead for many enterprises. For modest volumes or where time-to-market and compliance are prioritized, the per-transaction fee may be acceptable, but it is structurally higher than raw L1 gas fees on most blockchains.

NetX: 7

NetX benefits from the Trias brand and community, including a long-running project history, token presence, and strategic alliances highlighted in ecosystem communications and Medium articles. As an AI-powered mainnet, it participates in the broader AI+crypto narrative, which has attracted community interest and partnerships across Web3. While it does not match the popularity of top-tier L1s, NetX likely has broader crypto-community awareness and a more established tokenholder base than a specialized B2B payment product like Skyfire.

Skyfire: 6

Skyfire has gained notable media visibility (e.g., coverage by TechCrunch) and early B2B pilots with companies like Denso and Payman, positioning it as a recognized player in the AI agent payment niche. However, its ecosystem is still emerging, and there is limited evidence of a broad developer community, token-based network effects, or widespread brand recognition beyond AI/fintech circles. Relative to large L1 ecosystems, its popularity is currently modest but growing.