Codex

@Cristiano Eid Mubarak

Eid Mubarak to all! 🌙 I hope you have a very special day with your family and loved ones. Wishing you all peace and happiness.

@CoinbaseDev Cool 👏👏. We ran into the same issue during integration and open-sourced an ERC-20 Gasless Adapter. Great to see x402 moving so fast. github.com/codatta/erc20-…

@codatta_io @CoinbaseDev Let’s keep contributing and co-building the x402 ecosystem!

Excited to see the latest updates on x402 from @CoinbaseDev. "x402 now supports ANY ERC-20 tokens" is a huge unlock for ecosystem growth. We actually ran into this exact issue while integrating: $XNY couldn't be used directly as a payment asset in x402. To solve it, we built and open-sourced an ERC20 Gasless Adapter, giving non-upgradable ERC-20 tokens like $XNY ERC-2612/3009-style gasless capabilities. Thrilled to see the protocol evolving so fast. We'll keep contributing and co-building the x402 ecosystem! 🤝

Codatta turns human and agent work into on-chain data assets, then routes value back to whoever created that value. To plug cleanly into the emerging agent economy, we not only adopt ERC-8004 for agent identity and trust on Ethereum, but also adopt x402 for HTTP-native, pay-per-request payments. Learn how we adopt x402 in this thread 🧵 1/5

#Binance is excited to announce the Fabric Protocol (ROBO) HODLer Airdrop – @FabricFND $ROBO. BNB Holders, get ready! The Airdrop page will be available on the Binance Airdrop Portal soon. Plus, this token will be listed on Binance soon! 👉 binance.com/en/support/ann…

Cut the complexity out of smart contract development. Build, iterate, and deploy with speed. Only possible with Chainlink. Proven. Established.

You've been labeling data for AI giants for years—without even knowing it, let alone getting paid. At Codatta, you get paid, retain data ownership, and earn recurring royalties tied to real usage. - Secure ownership with onchain cryptographic proof - Trigger automated royalties whenever AI models use your data - Track every contribution via immutable provenance Your knowledge. Your data assets. Endless AI royalties.

@codatta_io For years we’ve been feeding AI systems for free without realizing the value of our data. Love how Codatta flips the model ownership, transparency, and actual recurring rewards is a game changer. This is the kind of future the data economy needs.

@codatta_io @base Just created my Codatta DID super smooth onboarding 👀 Excited to see agents actively contributing and earning in this ecosystem. This ERC-8004 move feels like a big step toward a real agent economy 🚀

Your Codatta DID is more than just a profile—it's a user-owned, portable and extensible identity that tracks your contributions across the ecosystem. We rolled out DID V1 on @base last November. Any user can create a DID and log in seamlessly with an email or Web3 wallet. Now, we’re leveling up with ERC-8004 compatibility. What this means for the ecosystem: • Agents as Contributors: ERC-8004 agents can participate in Codatta workflows, acting as data labelers and validators. • Agents as Consumers: They are also the downstream data buyers, fueling the precise closed-loop of our Royalty Engine. 🔁This upgrade is set to plug Codatta into a broader agent economy across the entire EVM ecosystem. It will also inject high-quality, battle-tested identity data backed by real platform operations into ERC-8004, driving wider adoption of the standard. Don't have your Codatta DID yet? 👇 Log in to app.codatta.io and get your DID now.

@codatta_io Sleep after annotating

Codattaer’s daily routine: ✅ Annotate ✅ Check rewards ✅ Repeat ❌Sleep (?)

@codatta_io The focus on verifiable identity, ERC-8004, and turning human knowledge into royalty-earning on-chain assets is a huge step toward a fair agentic economy.

📊Codatta Weekly Highlights: March 9–15, 2026 This week @codatta_io focused on practical earning opportunities, identity & verification systems, the agentic economy, and motivational community posts. Emphasis remained on turning human knowledge into verifiable, royalty-bearing on-chain assets in the Knowledge Layer, with strong calls to action for new contributors. Key Threads & Insights 🎯Codatta Identity System Deep Dive • Explored how Codatta verifies humans and agents without compromising privacy. • Core message: Data needs proof of creation (provenance + identity) to become a true asset — enabling trust, royalties, and no black-box extraction. • Thread highlighted the role of identity in preventing sybils and ensuring fair payouts. 🤖 Agentic Economy & ERC-8004 Adoption Multi-part thread on adopting ERC-8004 to make agents first-class participants. Covered: Agent identities, registration/discovery, on-chain reputation/validation, linking work to data ownership for royalties. 👗Codatta Dataset Series (4): Fashion Data Introduced Fashion-1K: A specialized, human-free open-source dataset designed to eliminate common issues in fashion AI training (poses, skin tones, cluttered backgrounds). Tasks & Earning Focus • 60-second video guide: Turn market browsing into instant rewards. • Motivational posts encouraging exploration of latest tasks. Overall Vibe: Action-oriented week promoting easy entry tasks (crypto/stock info), deep technical explanations (identity + ERC-8004), and agentic vision. Perfect mix of onboarding new contributors and reinforcing long-term value (provenance, royalties, agent economy). Momentum building toward broader adoption! More tasks, product features, and on-chain progress ahead. #AIAgents #AgenticEconomy #ERC8004

@codatta_io Fashion AI data are crucial for AI development.

Codatta Dataset Series (4): Fashion Data Training fashion AI on typical street-style images comes with a massive headache: human poses, skin tones, and cluttered backgrounds ruin the garment data. Enter Fashion-1K: A clean, human-free dataset built for precision. 🧵👇 ✨ Why it’s different: • Human-Free: Zero faces or limbs. Strictly focused on the garments. • Outfit-Centric: Complete looks (Top + Bottom + Shoes) to aid compatibility learning. • Zero Noise: "Flat Lay" & "Ghost Mannequin" styles for flawless segmentation and feature extraction. 🛠️ Supported Tasks: ✅ Virtual Try-On (VTON): Serving as the "garment" reference image (g_img) for 2D try-on pipelines. ✅ Generative AI: Training LoRAs or ControlNets for specific clothing styles without human figure bias. ✅ E-commerce: Automated tagging & outfit matching. 📊Explore & download the dataset: huggingface.co/datasets/Codat… 🤝Help us build the fashion AI dataset: app.codatta.io/app/frontier/9…