Circle introduced a public discovery endpoint for finding x402 services that accept USDC. Agents can inspect prices, inputs and payment methods, then filter services by chain, category and budget before making a request.

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Coinbase described how agent skills, MCP documentation and component mappings keep AI-generated interfaces aligned with its design system. A prototyping workspace and evaluations support consistency across design and engineering; the article reports an engineering practice, not a trading-product launch.

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A Solana interview explores how BitRobot crowdsources robotics training data and uses onchain records and payments to reward contributors. The discussion emphasizes data quality, rare real-world scenarios and demand from AI labs.

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0G upgraded its sealed Private Inference tier to GLM-5.3. Prompts remain encrypted inside a trusted execution environment, while responses are signed within it. Users of the former private GLM-5.2 route should update their model name.

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Solana introduced payment channels for AI agents, combining spending caps, offchain metering and batched onchain settlement across x402 and MPP. Its proxy benchmark exceeded one million payments per second, with Alibaba Cloud APIs available at launch.

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BNB Agent Studio v3 adds Turnkey wallets with cross-chain access, enclave-enforced policies and human co-signing. It also simplifies test-token access and expands agent payment support for Altana wallets and Azure deployments.

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Circle published a tutorial combining Agent Wallet, USDC payments and Arrays data. The workflow acquires information within a budget and returns a research brief with competing scenarios, caveats and a spending log. Its example explicitly excludes placing trades.

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0G recapped its inaugural Apollo Accelerator, where ten AI startups completed a ten-week program. The cohort spans deepfake detection, compliance and agent infrastructure, with more than 100 introduction requests reported and five teams live on or integrating 0G.

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A Solana interview examines Meow's agent-assisted banking workflows, from company formation and account applications to payments and spending audits through APIs and MCP. Agents can choose between traditional banking rails and stablecoins.

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BNB Agent Studio v2 enables agents to receive x402 payments and adds TypeScript development and testnet gas sponsorship. New Altana wallets provide publicly verifiable spending limits, allowlists and revocable permissions.

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NEAR AI announced independent attestation through Intel Trust Authority. The integration checks evidence from confidential inference environments and returns Intel-signed tokens, giving customers a machine-verifiable record beyond the infrastructure operator's own checks.

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Circle outlined a vision for an open agent economy built on shared identity, reputation, discovery and stablecoin settlement. Its roadmap connects publishing paid agents with transaction evidence that can inform future buyers; the vision should not be read as a completed product rollout.

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Circle reported on Steve, a reference-agent experiment using USDC wallets to discover and purchase services within developer-set limits. The account examines autonomous payments and guardrails, not proof of prediction accuracy, and identifies Steve as experimental software rather than an investment product.

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NEAR AI introduced staking-based access to confidential inference and IronClaw hosting. The two services use different credit-conversion mechanisms, linking NEAR staking with compute access. The announcement concerns service billing, not a guarantee of investment returns.

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ChainGPT announced live CoinMarketCap data in its Web3 chatbot through CMC Agent Hub. Responses can draw on market capitalization, trading volume, asset dominance and sentiment indicators instead of relying solely on information learned during model training.

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NEAR AI released IronClaw 1.0 with a shared checkpoint for actions, approval for sensitive operations and persistent task state. The announcement also reports benchmark results; those publisher-reported scores are not a guarantee of performance across every deployment.

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Chainlink's Q2 review reports five additions to its Developer Agent Skills: CCIP, ACE, Data Feeds, Data Streams and VRF. CRE also expanded network coverage and enterprise interfaces, supporting AI-assisted blockchain development.

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NEAR AI announced native private inference in the Corbits team workspace. The integration combines confidential execution environments, IronClaw orchestration and signed action records to support shared enterprise agents with stronger data boundaries and traceability.

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0G announced ERC-8004 Identity and Reputation registries on mainnet and testnet, allowing compatible tools to discover agents and read portable trust signals. The article supplies deployment addresses and the upstream merge record; the standard remains a draft.

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0G reported more than 350 ecosystem projects and 400 integrations in its first-half update. The report highlights agents, private inference and verifiable AI, including applications that combine compute, storage and onchain settlement.

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BNB Chain launched Agent Studio, combining agent scaffolding, wallets, onchain identity, model access and cloud deployment in one workflow. ERC-8004, ERC-8183 and x402 support discovery, task interactions and payments.

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0G and HackQuest reported 293 valid APAC hackathon submissions from 38 countries and regions, including 168 mainnet deployments and 23 winning teams. Projects covered agents, privacy infrastructure and verifiable finance.

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Chainlink reviewed Convergence hackathon projects combining external data, AI-assisted research and automated settlement. MetaPredict routes questions to APIs or AI web research, illustrating how CRE can coordinate more flexible prediction-market workflows.

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In its third-anniversary review, io.net outlined its development into an enterprise-focused decentralized GPU cloud. The company reported $8 million in enterprise deals during Q1 2026 and highlighted onchain visibility into compute demand and revenue.

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io.net launched the Incentive Dynamic Engine, linking token burns to actual compute revenue. The model directs at least half of retained IO revenue, after supplier payments, toward permanent burns and pegs hardware-provider rewards to a US dollar value.

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Give every action a clear basis, scope and responsibility. Explore the boundary between models and tools.

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Code versions, target networks and on-chain time determine whether an answer applies.

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From task definitions to delivery evidence, rethink what it means to be done.

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From read-only retrieval to on-chain writes, give each action appropriate authorization.

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Turn natural-language requirements into testable specifications for AI-assisted development.

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Applications bring real problems. Specialized intelligence supports the incubation workflow.

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