Tech
Fetch.ai says LA Hacks project MultiEval used specialist agents to test multi-agent delegation
Fetch.ai said a winning LA Hacks project called MultiEval used its specialist AI agents to test how multi-agent systems should delegate work, with the system running a 50-agent simulation of the US economy overnight.
50 specialized AI Agents ran a simulation of the US economy overnight.
A winning @LAHacks project, MultiEval, used @Fetch_ai‘s specialist agents to test how multi-agent systems should delegate work.
This system autonomously improved another Agent harness and was used to run a…
— Fetch.ai (@Fetch_ai) August 20, 2026
In a post on the company’s official X account, Fetch.ai described MultiEval as a project that used its specialist agents to evaluate other agents and improve an agent harness autonomously. The company said the setup ran through ASI:One and framed the process as “agents evaluating agents.”
How the LA Hacks project was described
According to Fetch.ai, MultiEval was used to test delegation inside multi-agent systems, with specialist agents helping run the benchmark and improve the harness used for the simulation. The company did not provide additional technical details in the post about the exact structure of the evaluation or the full scope of the overnight run.
The post adds to Fetch.ai’s broader LA Hacks presence, but the central claim is limited to the project’s use of specialist agents, the 50-agent simulation and the ASI:One workflow described by the company.
Fetch.ai also has a LA Hacks event page on its official site, which places the project in the context of its hackathon participation and agent-focused materials.
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Tech
AI agents drove 16.2 million x402 transfers in 30 days
AI agents initiated 16.2 million transfers through the x402 protocol over the past 30 days, according to a Token Terminal post. The data breaks down the activity across chains, with Base accounting for 9.5 million transfers and Polygon for 5.6 million.https://twitter.com/tokenterminal/status/2090165191489270116
The figures add fresh volume to x402, which describes itself as an internet-native payment standard for AI and agentic payments on its official dashboard. The headline metric points to measurable usage rather than a purely conceptual payment layer, although the data shown in the post is limited to transfers and does not by itself explain who the agents were or what kinds of payments they made.
The chain split also suggests the activity is concentrated rather than evenly distributed. Base led the tally by a wide margin, with Polygon also accounting for a large share of the reported transfers.
For now, the clearest takeaway is narrow but concrete: x402 is seeing repeated transfer activity from AI agents, and the recent count gives a cleaner snapshot of where that usage is showing up onchain.
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Tech
Aptos launches Confidential APT with encrypted balances on mainnet
Aptos said Confidential APT is now live on mainnet, bringing opt-in encrypted balances to the network while keeping wallet addresses visible. The feature is positioned for compliant use cases including payroll, treasury and business-to-business settlement.https://twitter.com/Aptos/status/2084481961553445096
The Aptos account said transactions are verified with zero-knowledge proofs, allowing the network to confirm that transfers are valid without exposing the underlying amounts. The update is meant for users who want confidentiality for specific transfers rather than full anonymity across the network.
A separate governance page tied to the rollout shows the proposal as executed, matching Aptos’ public statement that the feature has been enabled on mainnet. The material linked from that page describes Confidential APT as part of Aptos’ on-chain privacy features.
How the feature is framed on Aptos
According to Aptos, Confidential APT is opt-in, so users can still use standard transparent transfers if they prefer. The company’s framing focuses on enterprise and institutional settings where transaction amounts may need to be hidden while counterparties remain identifiable.
The launch adds a privacy layer at the transaction level, but it does not by itself indicate broader usage or adoption. It does, however, give Aptos a live mainnet mechanism for hiding balances on selected transfers.
The post Aptos launches Confidential APT with encrypted balances on mainnet appeared first on The Cryptocurrency Post.
Tech
NEAR says Machine Payments Protocol now uses NEAR Intents for agent settlements
NEAR Protocol said the Machine Payments Protocol (MPP) from Stripe and Tempo now integrates with NEAR Intents, allowing agents on MPP to settle across more than 30 chains using NEAR infrastructure.
The Machine Payments Protocol (@mpp), the agent payment protocol from @Stripe and @Tempo, now leverages NEAR Intents.
This enables any agent on MPP to settle across 30+ chains using NEAR infrastructure, paving the way for global agentic transaction volume to flow across NEAR. pic.twitter.com/8dQ6nZc5Qw
— NEAR Protocol (@NEARProtocol) August 4, 2026
The update was shared by NEAR Protocol on X, where the team described the integration as live and pointed readers to public SDK and documentation for the payment method. The announcement frames NEAR Intents as part of the settlement layer for agent payments rather than as a standalone consumer product.
Settlement across multiple chains
According to the post, the integration gives any agent using MPP a way to settle payments across 30-plus chains. The announcement did not add further technical detail in the post itself, but it did direct users to the public documentation for the NEAR payment method.
MPP, or Machine Payments Protocol, is designed for programmatic payments between software agents and services. In this case, NEAR is presenting Intents as the mechanism that helps route those settlements across chains through its infrastructure.
The timing and scope of the change were stated by NEAR Protocol itself, which makes the integration the central confirmed development. The announcement did not include a broader rollout timeline, usage data or terms for availability beyond the public SDK and docs link.
What NEAR is highlighting
The key change is not a new token feature or a market-facing launch, but a payment-routing integration aimed at agent settlements. That places NEAR Intents inside an emerging category of machine-to-machine payment infrastructure, where the practical value depends on whether developers adopt it for real transactions.
For now, the confirmed claim is narrower: NEAR says MPP can now use its Intents system for cross-chain settlement, and the public documentation is available for developers who want to build around it.
The post NEAR says Machine Payments Protocol now uses NEAR Intents for agent settlements appeared first on The Cryptocurrency Post.
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