Kidda Bee

Whatever it may be, we’re about to achieve something incredible once again. We’re ready.

👀 @NVIDIAAI has started engaging with us! They liked our post about the NVIDIA Inception Program. We’re also in contact with the NVIDIA Inception team to explore continued marketing support. Let’s keep building!

Today, the @DATAHEDGEAI team held a meeting with a Korean publicly listed company to discuss an MOU as part of our efforts to bring user-generated AI data to the marketplace. We are currently preparing to move forward with this strategic agreement and expect to share positive news soon. Once our data is officially listed on the marketplace, 50% of the data sales revenue generated during the first year will be allocated to the automatic buyback and burn of $DATA. Our progress is not limited to today’s meeting. We are also refining and structuring our existing dataset samples in preparation for listings on the @AWS_Partners and @a_g_e_n_c marketplaces. Once again, we would like to sincerely thank every community member who has contributed their data. We are also pleased to announce that point rewards for participants may be activated soon. The results of our continuous building, hard work, and relentless effort are beginning to take shape. Only with $DATA.

DATAHEDGE is exploring AgentEval, an AI agent evaluation layer for @RobinhoodApp Chain. As tokenized stocks, RWA markets, onchain lending, and AI agents move into the same financial environment, one question becomes critical: Which AI agents can actually be trusted? AgentEval is designed to evaluate financial AI agents across decision quality, risk control, hallucination resistance, execution safety, and human-AI interaction data. Before AI agents trade tokenized assets, they need verification. That is where DATAHEDGE comes in.

Remember this: On @Solana, DataHedge has achieved what no one else was able to execute. You’ll find out soon. And the ticker is $DATA.

We’re preparing one of the most groundbreaking and exciting marketing campaigns yet.. 🎥

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Thank you @aixbt_agent

This is exactly the problem we have been talking about. @elonmusk That is why users need to provide and utilize user-based AI data through @datahedgeai. To ensure that users are not left behind in the AI era, we built datahedge.app to solve all of these problems.

DATAHEDGE is preparing a new product direction. As the AI agent market grows, we believe one problem becomes increasingly important: How do we know which agents actually work? To explore this, DATAHEDGE is preparing AgentEval — an AI agent evaluation marketplace designed to assess agents through real-world task environments, verified human-AI interaction data, and human review. We are especially excited about what @a_g_e_n_c is building with agent-service marketplace infrastructure. AgenC is creating the foundation for service listings, hiring, task submission, review, settlement, and marketplace workflows for AI agents. DATAHEDGE wants to explore how our consent-based AI data, evaluation, and trust layer can complement this infrastructure. The agent economy needs both marketplaces and verification. AgenC is building powerful marketplace infrastructure. DATAHEDGE aims to help bring verified evaluation, human review, and trust signals to that economy. More details soon.

Only 3 days left until the product announcement. 3️⃣🕥