♻️ @Walrus 🦭/acc is a decentralized blob storage network designed to provide high-integrity, available storage for large binary objects (blobs) with low overhead. Developed by The MystenLabs Team, the project integrates a high-performance blockchain as a control plane for metadata and governance while utilizing a separate committee of storage nodes to manage the actual data. At its technical core, Walrus uses a novel two-dimensional erasure coding protocol called Red Stuff. This allows the system to achieve high security with a low replication factor (4.5x), significantly lower than the 25x overhead often required for similar security levels in fully replicated systems. ♻️ Problems Handled by Walrus Walrus is designed to solve: • The Replication/Efficiency Trade-off: Existing systems either rely on full replication, which is prohibitively expensive, or simple erasure coding schemes that struggle with efficient recovery when nodes leave the network (churn). • High Recovery Costs (Self-Healing): In traditional encoded systems, replacing a failed storage node requires transmitting the entire blob across the network (O(∣blob∣)). Walrus enables self-healing recovery where bandwidth is proportional only to the lost data (O(∣blob∣/n)), making it much more scalable. • Vulnerability in Asynchronous Networks: Most current decentralized storage assumes a synchronous network to ensure nodes are actually storing data. Walrus is the first protocol to support storage challenges in asynchronous networks, preventing malicious actors from using network delays to pass verification without storing the data. • Storage Node Churn: Walrus introduces a multi-stage epoch change protocol that handles the natural entry and exit of storage nodes in a permissionless system without interrupting the availability of data for reading or writing. • Decentralized Application Needs: The sources highlight that Walrus addresses the "poor integrity and availability" of traditional web hosting for dApps, NFT data, AI training sets, and decentralized social media, which require neutral and high-integrity storage. ♻️ Backers and Infrastructure Walrus is primarily backed and developed by Mysten Labs. The project relies on the following infrastructure and partners: • Sui Blockchain: Walrus uses the Sui blockchain as a "computational black box" to handle control operations, such as registering blobs and managing storage space. • Move Language: Critical coordination protocols are implemented using the Move smart contract language. • WAL Token: The system's economic security is underpinned by staking the WAL token, which is used to reward honest storage nodes and penalize (slash) those who fail data challenges or shard migrations. • Open-Source Community: The implementation is released as open-source and has been tested on a public testnet comprising over 100 independently operated storage nodes ♻️ Sui blockchain play in Walrus operations The Sui blockchain serves as the control plane and foundational coordination layer for the Walrus network. While the actual data (blobs) is stored on a separate committee of storage nodes, Sui handles metadata, governance, and the economic lifecycle of the storage process. The specific roles Sui plays in Walrus operations include: 1. Management of the "Point of Availability" (PoA) Sui acts as the source of truth for whether data is officially "available" on the network. • Blob Registration: A writer begins by submitting a transaction to the Sui blockchain to register a blob ID and acquire the necessary storage space. • Proof of Availability: Once the writer collects enough signatures (2f+1) from storage nodes, they publish this "write certificate" on-chain. This creates a Point of Availability (PoA), which signals a formal obligation for storage nodes to keep that data accessible for a specified duration. • Node Synchronization: Storage nodes actively listen to the Sui blockchain for these PoA events; if a node realizes it missed a blob during the initial write flow, the on-chain certificate triggers its self-healing recovery process. 2. Economic and Staking Infrastructure The financial security of Walrus is built directly on Sui's infrastructure using the WAL token. • Staking and Slashing: Walrus utilizes delegated staking implemented via self-custodied objects on Sui. If a storage node fails data challenges or mismanages shard migrations, the Walrus smart contracts on Sui assess penalties and "slash" the staked principal. • Storage Resources: Reservations for storage space are represented as on-chain resources on Sui. These resources can be traded, split across time/space, or reassociated with new blobs, creating a secondary market for storage. • Payments: All payments for writing and storing data are managed through Sui smart contracts, which distribute tokens to storage nodes at the end of each epoch. 3. Governance and Coordination Sui provides the "computational black box" needed to maintain a total order of updates for the decentralized network. • Committee Reconfiguration: Sui manages the transition between epochs. It records staking levels to determine shard assignments for the next committee of storage nodes. • Storage Challenges: The protocol uses on-chain events, such as specific block heights, to trigger storage challenges. Nodes must submit proof-of-storage certificates to the blockchain to prove they are still holding the data they were assigned. • Fraud Proofs: If a malicious writer uploads inconsistent data, storage nodes can attest to this on-chain. Once a quorum of f+1 attestations is reached, the blob is officially marked as invalid. 4. Technical Implementation (Move Language) Critical coordination protocols for Walrus are implemented using the Move smart contract language on Sui. This allows for the creation of programmable resources—such as the staking objects—that provide a secure and auditable framework for managing the network's decentralized state #walrus $WAL
The Most Underrated Skill Going Into 2026: Finishing Strong
There’s a myth that greatness comes from big ideas, big launches, and big moments. That’s not my experience. Remarkable people win because they do something far less glamorous: They finish. As 2025 winds down, I’ve realized that finishing strong is one of the most underrated competitive advantage there is. Anyone can brainstorm an idea that sounds brilliant. Anyone can start a project with enthusiasm. But the people who ship—really ship—separate themselves from everyone who simply “meant to.” Finishing strong isn’t about perfection. It’s about follow-through. It’s about sending the email. Making the decision. Wrapping the draft. Closing the loop. Taking the last step when most people settle for “good enough” or “I’ll get to it in January.” As Steve Jobs said, “Real artists ship.” Here’s the beauty of finishing: It creates momentum. When you end a year with clarity—rather than a pile of half-done tasks—you start the next one with purpose instead of pressure. So before midnight tonight, ask yourself one question: What’s the one thing I can finish today that will make tomorrow lighter? And then finish it. Not because the calendar demands it, but because it’s the fastest way to become more remarkable in 2026. Here’s to closing strong—and starting even stronger. Happy new year!
The economics of Walrus are designed to enforce long-term storage contracts in a decentralized environment where traditional legal systems cannot reach. To mitigate the "tragedy of the commons" and ensure nodes do not default on their commitments, Walrus utilizes a robust incentive structure centered on the WAL token, competitive pricing mechanisms, and structured staking. 1. Staking and the $WAL Token The primary tool for securing the network is staked capital. Staking underpins the system by rewarding honest behavior and punishing malicious or negligent actions through slashing. • Delegated Staking: Users who do not run nodes can delegate their WAL tokens to storage nodes based on their reputation, own capital, and commission rates. • Shard Assignment: Shards (and the subsequent rewards) are assigned to nodes in proportion to their total associated stake. • Self-Custody and Slashing: Walrus implements staking via self-custodied objects on the Sui blockchain. Because Walrus does not hold the principal, penalties are assessed when a user "unwraps" their object to reclaim tokens. To ensure users return even heavily slashed objects, Walrus always returns a baseline amount (e.g., 5%) of the initial principal. • Rewards and Penalties: At the end of each epoch, nodes earn rewards for proven data storage, facilitating writes, and participating in shard recovery. Conversely, they are penalized for failing storage challenges. 2. Shard Migration Incentives As stake fluctuates, shards must migrate between nodes. The system uses financial pressure to ensure these migrations are completed efficiently: • Cooperative Pathway: If nodes coordinate a transfer successfully, no penalties occur. • Recovery Pathway: If a transfer fails, the sender is heavily slashed, and the receiver is lightly slashed (to prevent them from falsely reporting a failed migration). The slashed funds are then distributed to other nodes that assist in the shard recovery. 3. Market Dynamics and Pricing @Walrus 🦭/acc creates a competitive market for storage and writes through a decentralized voting process: • Collective Pricing: Nodes vote on shard sizes and prices for storage and writes. The system selects the 66.67th percentile (by stake weight) of submissions, ensuring that 2/3 of the network is willing to provide service at or below that price. • Storage Resources: Storage is sold as "resources" (reservations) that can be traded, split, or reassociated with new blobs. This flexibility fosters a secondary market for storage, increasing economic efficiency. • Refundable Write Deposits: To minimize network overhead, users pay a write price that includes a refundable deposit. The more storage node signatures a user collects (proving they sent the data directly to multiple nodes), the more of the deposit is returned, incentivizing users to reduce the need for node-to-node recovery. 4. The "Incentivized Read" Problem Currently, Walrus encourages storage nodes to provide free read access, but this faces a "public goods problem" where nodes may avoid serving data to save bandwidth, hoping others will do it instead. To solve this, the sources propose several future mechanisms: • On-Chain Bounties: Users could post bounties to access data if best-effort reads fail. • Node Service Models: Nodes could strike paid bilateral contracts or enterprise deals to provide guaranteed high-quality read access. • Light-Node Sampling: A second class of "light nodes" could be incentivized to store and serve small samples of data, earning rewards for helping in recovery or serving missing symbols. 5. Token Governance Governance is strictly parameter-focused rather than protocol-focused. WAL token holders vote to adjust penalty levels (such as the cost for shard recovery or failing data challenges). Any node can issue a proposal, and consensus is reached if a proposal earns over 50% of the votes cast, provided a quorum is met. #walrus
♻️ Asynchronous Complete Data Storage (ACDS) on @Walrus 🦭/acc
🔸What is ACDS? ACDS is a core protocol designed by Walrus to guarantee that large data blobs remain available, consistent, and verifiable in a decentralized system — even when the network is fully asynchronous and messages can be delayed or reordered by adversaries.
🔸Why Asynchronous Matters Most storage systems assume synchrony (bounded message delays). Walrus does not. ACDS is built for real-world conditions where no timing guarantees exist and Byzantine actors are present.
♻️ ACDS Core Properties (n = 3f + 1)
🔸Write Completeness If the writer is honest, every honest node holding a commitment will eventually store a recoverable part of the blob.
🔸Read Consistency Any two honest readers will either read the exact same blob or both receive. This prevents split-view or equivocation attacks.
🔸Validity If an honest writer successfully stores a blob, any honest reader with a commitment can retrieve and read it.
♻️ The Solution: Red Stuff 🔸Walrus introduces Red Stuff, the first protocol to efficiently solve ACDS under Byzantine faults. 🔸Red Stuff uses two-dimensional (2D) erasure coding: 🔸A blob is split into a matrix of symbols 🔸Repair symbols are added across rows and columns
♻️ Why 2D Erasure Coding Is Powerful
🔸Self-Healing Recovery Nodes can recover missing data using bandwidth proportional only to what’s lost: O(|blob| / n) instead of O(|blob|) 🔸Threshold Flexibility 🔸Low threshold → recovery for nodes that missed the write 🔸High threshold → secure reads and resistance to adversarial slowdowns
♻️ Asynchronous Storage Challenges
🔸In asynchronous networks, malicious nodes can pretend data is “in transit” after deleting it. 🔸ACDS enables asynchronous storage challenges using Red Stuff’s completeness guarantees: 🔸Nodes must produce certificates of storage 🔸Reconstruction requires a 2f + 1 threshold 🔸A node that deletes its data cannot pass challenges, even with message delays #walrus $WAL
Red Stuff is the innovative technical core of the Walrus network, serving as a two-dimensional (2D) erasure coding protocol that balances storage efficiency with high security. While traditional systems use full replication (requiring 25x overhead for high security) or simple 1D erasure coding (which is expensive to repair), Red Stuff enables Walrus to achieve "twelve nines" of security with only a 4.5x replication factor. The Mechanics of Red Stuff Unlike standard encoding that splits a file into a simple list of pieces, Red Stuff organizes a blob into a matrix of symbols. • 2D Matrix Structure: A blob is initially split into a grid of (f+1) rows and (2f+1) columns. • Primary and Secondary Slivers: The system extends this grid with repair symbols in both dimensions. Each storage node is assigned a "primary sliver" (an extended row) and a "secondary sliver" (an extended column). • Threshold Flexibility: The 2D approach allows for different reconstruction thresholds. For instance, nodes can use a low-threshold dimension to recover missing data during write flows, while a high-threshold dimension is utilized for the read path to ensure security in asynchronous networks. • Self-Healing Recovery: Red Stuff's most significant advantage is its efficient recovery process. If a node loses its data, it can reconstruct its slivers using bandwidth proportional only to the lost data (O(∣blob∣/n)), whereas traditional systems require transmitting the entire blob (O(∣blob∣)) for every repair. Walrus Proofs and Challenges @Walrus 🦭/acc utilizes Red Stuff to implement the first asynchronous storage challenge protocol, which ensures nodes are actually storing the data they were assigned without assuming messages arrive within a fixed timeframe. • Write Certificates and PoA: To prove data is available, a writer must collect 2f+1 signatures from nodes to form a Write Certificate. This is published on the Sui blockchain as a Point of Availability (PoA), creating an on-chain obligation for nodes to maintain that data. • The Asynchronous Challenge Protocol: Near the end of an epoch, nodes engage in a challenge where they must exchange specific symbols and proof-of-inclusion against the blob's metadata. • Byzantine Resistance: The math of Red Stuff prevents malicious nodes from "faking" storage. To pass a challenge for a symbol they don't have, a malicious node would need to reconstruct the primary sliver, which requires 2f+1 symbols. However, even if they collude with all other malicious nodes (f−1 others) and slow down some honest nodes (f nodes), they can only gather 2f−1 symbols, which is insufficient to pass the challenge. • Fraud Proofs for Inconsistent Encoding: If a malicious writer uploads data that does not follow the correct Red Stuff encoding, storage nodes can generate a third-party verifiable proof of inconsistency. If f+1 nodes attest to this inconsistency on-chain, the blob is marked as invalid, allowing nodes to delete the faulty data. • Probabilistic Relaxations: To save bandwidth, Walrus can use a lightweight challenge protocol. This uses a decentralized random coin to select only a subset of blobs for verification; if reads begin to fail, the system dynamically increases the number of challenges #walrus $WAL
Walrus is a community-driven protocol, and as such, WALdistribution was designed to align the whole ecosystem-corecontributors, early adopters, builders, and users-in the continuedgrowth and success of the network.
🔸 Over 60% of all WAL tokens are allocated to the Walruscommunity through airdrops, subsidies, and the CommunityReserve. 🔸 10% Walrus User Drop – Airdropped to early adopters and earmarked for future distributions 🔸 43% Community Reserve – For grants, dev support, incentive programs, and other ecosystem initiatives 🔸 30% Core Contributors – For early builders who contributed to Walrus 🔸 10% Subsidies – For supporting storage nodes as the fee base grows 🔸 7% Investors – For investors participating in the fundraise
♻️ @Walrus 🦭/acc is a decentralized storage protocol designed specifically to enable data markets for the AI era, making data reliable, valuable, and governable. Walrus focuses on providing a robust yet affordable solution for storing unstructured content on decentralized storage nodes, while ensuring high availability and reliability even in the presence of Byzantine faults.
🔸 Period: 1 month, from 06/01/2026 to 06/02/2026 🔸 Rewards: 300,000 $WAL 🔸 How to participate: 1. Follow @Walrus 🦭/acc on Binance Square 2. Follow Walrus on X Write a post about Walrus with the hashtag #walrus on both Binance Square and X. 3. Choose Spot, Futures, or Convert, and mint: $10 Currently, fewer than 10,000 participants have joined. Hurry up!
Token buybacks aren’t just TradFi tricks. In crypto, they’re a key part of tokenomics and value capture. But not all buybacks are equal. Here are the main cases — with example tokens:
🔹 Revenue-Based Buyback Protocol uses real fees to buy tokens from the market → Strongest value capture model Examples: • $BNB – Quarterly burn funded by exchange revenue • $GMX – Trading fees drive value to token holders • $SNX – Fees used to support ecosystem incentives
The market cap of the GameFi sector dropped to approximately $7.80 billion in 2025, a 68% year-on-year decline.
According to CoinMarketCap, the GameFi sector experienced a significant downturn in 2025, with its market capitalization dropping to approximately $7.8 billion, a 68% year-on-year decline; the annual trading volume was around $1.3 billion, down 69% year-on-year; and the average ROI was approximately -75%, with some tokens falling more than 90%.
Yat Siu believes the release of GTA 6 has the potential to re-attract global gaming attention; Gary Vee remains optimistic about the long-term potential of $AR, $VR, and blockchain integration. $XAI $ACE
Ethereum powers $8T in stablecoin transfers in Q4, smashing record
✨ Stablecoin transfer volume on $ETH surpassed $8 trillion in the fourth quarter of 2025, marking a new all-time high, Token Terminal reported on Monday.
✨ The $8 trillion milestone is almost double the transfer volume figure for the second quarter, which was just over $4 trillion, according to Token Terminal’s chart.
✨ Stablecoin issuance on Ethereum increased by around 43% in 2025 from $127 billion to $181 billion by year’s end, according to BlockWorks.
✨ “This isn’t speculation. This is global payments happening on-chain,” commented “BMNR Bullz” on X. “This is before SWIFT-style integrations, full RWA tokenization, and institutional rails going live.
👉 “The rails are already built. Adoption is catching up,”
✨ Ethereum remains king for RWA tokenization
The Ethereum network remains the primary settlement layer for stablecoins and real-world asset tokenization, with around 65% market share $ETH of total RWA on-chain value, which is around $19 billion, according to RWA.xyz.
That market dominance increases to over 70% when layer-2 and EVM networks are included.
Ethereum currently has a 57% market share of all stablecoins issued, with the Tron network in second place with a 27% share.
Tether (USDT) remains the market leader in issuance with $187 billion, equating to 60% of the entire stablecoin market, and more than half of that is on Ethereum.
✨ Solana started a fresh increase above the $130 zone. SOL price is now consolidating above $132 and might aim for more gains above the $138 zone.
SOL price started a fresh upward move above the $130 and $132 levels against the US Dollar.The price is now trading above $132 and the 100-hourly simple moving average.There is a bullish trend line forming with support at $135 on the hourly chart of the SOL/USD pair (data source from Kraken).The pair could extend gains if it clears the $140 resistance zone.
✨ Solana Price Gains Momentum
Solana price started a decent increase after it settled above the $125 zone, like Bitcoin and Ethereum. SOL climbed above the $130 level to enter a short-term positive zone.
The price even smashed the $132 resistance. The bulls were able to push the price above $135. The price is now consolidating gains above the 23.6% Fib retracement level of the recent upward move from the $123 swing low to the $138 high.
Solana is now trading above $135 and the 100-hourly simple moving average. Besides, there is a bullish trend line forming with support at $135 on the hourly chart of the SOL/USD pair.
✨ This number represents the remaining supply before Bitcoin reaches its hard cap of 21 million coins—a core feature that makes BTC fundamentally scarce.
Why this matters: ✨ Built-in scarcity: Over 95% of all Bitcoin has already been mined, leaving a shrinking supply ahead. ✨ Halving-driven slowdown: Every ~4 years, block rewards are cut in half, making new BTC issuance increasingly slower. ✨ Digital gold thesis: Predictable supply + growing demand reinforces Bitcoin’s role as a long-term store of value.
✨Miner economics shift: Over time, miners rely more on transaction fees than block rewards, strengthening network sustainability.
In short, It is a reminder that Bitcoin is moving closer to its final supply era—where scarcity isn’t a narrative, but a mathematical certainty.
Today is the last day for @APRO Oracle campaign on Binance Square. We have almost 38k participants, it’s very impressed. #APRO has joined many chain such as: Binance, Aptos, Base,… I believe $AT will more attractive in the future. APRO is doing a lot of fields. For instance, RWA, Predict market, defi. Keep building! ✨ Note: If you didn’t finish tasks on Binance Square. Please finish now for reward incoming. $AT
Lucky Love Crypto
--
To qualify for the @APRO Oracle Project Leaderboard on Binance Square, complete the following 👇
🔹 Follow @APRO on Binance Square 🔹 Create content about APRO using $AT and #APRO 🔹 Choose 1 of 3 tasks: Trade $10 AT on Spot Trade $10 AT on Futures Swap $10 AT
To be eligible for the reward pool, you must also complete the additional X follow & post task.
⚠️ Important: Posts involving Red Packets or giveaways will be disqualified — including incentives such as asking users to like/share/comment, or using Telegram/Discord to create FOMO.
Overview The image shows a direct comparison between Traditional Oracles and the @APRO Oracle AI Oracle, emphasizing the shift from basic data feeds to an AI-native, multi-source oracle layer designed for modern Web3 and AI agent use cases. Data Sources Traditional oracles rely on limited, single-source price data such as token prices or NFT floor values. #APRO AI Oracle integrates multiple data sources, including price feeds, social sentiment, news, on-chain event signals, and gaming data. This enables richer, more contextual data delivery instead of isolated metrics. Key Features Traditional oracles focus primarily on real-time data delivery with security and accuracy. APRO AI Oracle retains these properties while adding decentralized storage and contextual relevance, making the data more useful for intelligent and autonomous systems. Verification Mechanism Traditional oracles typically use off-chain aggregation with on-chain anchoring for validation. APRO AI Oracle enhances this with multi-node PBFT consensus, cryptographic signatures, and ATTPs transmission verification, providing stronger trust guarantees for complex data flows. Use Cases Traditional oracles mainly support DeFi liquidation engines and derivative pricing models. APRO AI Oracle expands the scope to AI agents, smart trading agents, DAO governance agents, memecoin launch agents, and gaming agents, enabling a new generation of intelligent, data-driven applications. Conclusion The image positions APRO AI Oracle as a next-generation evolution of oracle infrastructure. While traditional oracles remain effective for basic financial primitives, APRO transforms the oracle into an AI-ready data intelligence layer that supports autonomous agents, advanced governance, and context-aware decentralized applications. $AT
I witnessed the rise of decentralized physical infrastructure networks (DePINs) in 2024, followed by a sharp decline in 2025. But I believe next year will mark their moment of full potential release.
Projects like $HNT have proven that distributed connectivity can scale; Hivemapper has shown crowdsourced maps can compete with traditional giants; $RENDER has pushed decentralized computing into real demand cycles. Emerging networks like $GRASS are turning idle resources into measurable economic output.
More interestingly, venture capital firms (VCs) continue to invest heavily in this infrastructure, and some well-known projects have not only maintained usage but successfully turned it into revenue streams.
Once dismissed as “tokenized hardware narratives disguised as malware,” DePINs are now gradually transforming into networks with real users, actual use cases, and revenue. The industry is clearly shifting toward products with genuine utility and profitability—and this is where DePINs stand out.
🧾 PoR-Report: the core truth artifact of @APRO Oracle
✨ The Proof-of-Reality (PoR) Report is produced by Layer-1 nodes and finalized by Layer-2. It’s the verifiable receipt that shows: 🔹 What fact was published 🔹 Which evidence it came from 🔹 How it was computed 🔹 Who attested to it Built so anyone can independently verify and consume real-world facts on-chain.
🔐 Design principles behind the PoR-Report
🔹 Traceability Every field links back to exact bytes, pixels, or clauses in the source evidence.
🔹 Reproducibility Given the same evidence + model metadata, third parties can re-run the pipeline and reach the same result (within defined tolerances).
🔹 Minimal on-chain footprint Only hashes, indices, and compact payloads live on-chain. Heavy artifacts are content-addressed and stored off-chain.
🔹 Interoperability A uniform, versioned schema works across verticals — enabling seamless use by DeFi protocols and enterprise systems.
🔹 Privacy by design Sensitive data is redacted or encrypted. The PoR explicitly records what was hidden and why.
🔹 Auditability Layer-2 can deterministically audit any PoR and append results — without rewriting history.
⚡ PoR is not just data — it’s an explainable, auditable, and reproducible truth primitive for on-chain systems.
✨ APRO focuses on high-value, non-standard verticals — and defines exactly what the oracle delivers in each.
Instead of generic feeds, @APRO Oracle provides deep, verifiable, domain-specific data with multi-layer validation (L1 + L2) and on-chain–ready outputs.
🔹 Pre-IPO Shares Verified cap tables from term sheets, registrars & bank letters → Issuer identity, share classes, dilution, holder positions → Authenticity checks + quorum-based reconciliation → Outputs: cap-table digest, last-round valuation, provenance index
Problem Statement & Design Goals on @APRO Oracle RWA Oracle.
✨ Non‑ standard RWA pain points
🔹 The fastest‑ growing RWA categories depend on documents and media rather than ready‑ made APIs: a cap table lives in PDFs and registrar pages; a rare card’s value depends on photos, grading certificates, and auction data; a loan relies on scanned invoices and shipping records. 🔹 Today’s processes are manual and siloed: analysts retype values, reviewers check signatures by eye, and different venues arrive at inconsistent valuations. 🔹 Existing oracles are optimized for numeric feeds; they do not natively express how a fact was extracted, where it came from in a source file, or how confident the system is.
✨ Design goals
#APRO is designed to be evidence‑ first and provable. Each reported fact is accompanied by anchors (page/frame) pointing to the exact location in the source, hashes of all artifacts, and a reproducible processing receipt (model versions, prompts, parameters).
Dual‑ layer validation and stochastic re-computation provide defense‑ in‑ depth, backed by a slashing economy that penalizes low‑ quality or dishonest work. Interfaces are intentionally uniform so DeFi and institutional consumers can program against a small set of schemas.
Finally, the system practices least‑ reveal privacy: chains store minimal digests while full content remains in content addressed storage with optional encryption.
The features of this oracle are: 🔹 Evidence‑ first: Turn raw, unstructured evidence into structured facts with cryptographic provenance. 🔹 Provable processing: Record model versions, prompts, parameters, and anchors for deterministic re‑ runs. 🔹 Defense‑ in‑ depth: Dual‑ layer validation, stochastic re-computation, and slashing‑ backed incentives. 🔹 Composable: Uniform interfaces for DeFi & institutional consumers (price, state, attestations). 🔹 Privacy‑ aware: On‑ chain minimal disclosure; off‑ chain content‑ addressed evidence (IPFS/Arweave/DA). $AT
Lucky Love Crypto
--
APRO RWA Oracle
✨ @APRO Oracle introduces a two‑ layer, AI‑ native oracle networkpurpose‑ built for unstructured, non‑ standard Real‑ World Assets (RWAs). Unlike price‑ only or structured‑ feed oracles, APRO ingests documents, webpages, images, audio/video and turns them into verifiable, on‑ chain facts. Thenetwork separates concerns into:
🔹 Layer 1 – AI Ingestion & Analysis (L1): Decentralized nodes performevidence capture, authenticity checks, multi‑ modal AI extraction(LLMs/OCR/CV/ASR), confidence scoring, and sign PoR (Proof of Record/Reserve) reports.
✨ #APRO targets trillion‑ dollar, non‑ standard RWA verticals, starting withpre‑ IPO shares and collectible cards, and extending to legal corpus (agreements, court filings), logistics & trade documents, real‑ estate registries, insurance claims, and more. This white paper details capability coverage and end‑ to‑ endprocessing flows for each scenario.
APRO Oracle-as-a-Service (OaaS) is now live on @Aptos!
As prediction markets and high-performance dApps accelerate on Aptos, @APRO Oracle is delivering production-ready oracle infrastructure built for real usage — not experiments.
⚡ Why this matters 🔹 Aptos is fast. Move is efficient. 🔹 But speed means nothing without trusted, verifiable data. APRO bridges that gap. 🔹 Built for the Move ecosystem. We provide verifiable data at the pace of innovation, designed specifically for Aptos’ high-throughput environment.
✨ What Aptos builders unlock with APRO 🔹 Real-time event & outcome data for prediction markets 🔹 AI-powered verification for sports, finance & real-world events 🔹 Simple subscription via x402-based APIs 🔹 Immutable attestations anchored across multiple chains
✨ The result 🔹 Fast chain 🤝 smarter data 🔹 Less friction. More certainty. Better apps. 🔹 If you’re building a prediction market or a dynamic, data-driven dApp on Aptos — APRO is ready to power it. #APRO $AT
Lucky Love Crypto
--
Ανατιμητική
APRO Oracle-as-a-Service (OaaS) is now live on Solana means that developers building on Solana can officially use @APRO Oracle as their data provider.
✨ What problem does this solve? Prediction markets, DeFi, and event-based apps need accurate, real-time data (sports results, prices, outcomes, real-world events). Without reliable oracles, these apps can’t function correctly.
✨ What APRO brings to Solana 1. Productized oracle service → not custom integrations, but ready-to-use data feeds 2. Multi-source truth → data is verified from multiple sources to reduce manipulation or errors 3. Real-time data → critical for Solana’s high-speed, high-throughput apps
✨Key features explained simply 1. Real-time verified data Trusted data for sports results, financial prices, and real-world events 2. AI-enhanced validation AI checks and validates different data formats (structured & unstructured) to improve accuracy 3. API subscription via x402 protocol Developers can easily subscribe to data feeds like a SaaS product 4. Multi-chain attestations Data published on Solana can be verified and reused across other blockchains
✨ Why this matters As Solana’s prediction market ecosystem grows, APRO becomes critical infrastructure — helping builders launch faster, scale safely, and avoid data risks.
✨ In short: #APRO makes Solana apps smarter, faster, and more reliable by delivering trustworthy real-world data on demand. $AT {spot}(ATUSDT)
✨ @APRO Oracle introduces a two‑ layer, AI‑ native oracle networkpurpose‑ built for unstructured, non‑ standard Real‑ World Assets (RWAs). Unlike price‑ only or structured‑ feed oracles, APRO ingests documents, webpages, images, audio/video and turns them into verifiable, on‑ chain facts. Thenetwork separates concerns into:
🔹 Layer 1 – AI Ingestion & Analysis (L1): Decentralized nodes performevidence capture, authenticity checks, multi‑ modal AI extraction(LLMs/OCR/CV/ASR), confidence scoring, and sign PoR (Proof of Record/Reserve) reports.
✨ #APRO targets trillion‑ dollar, non‑ standard RWA verticals, starting withpre‑ IPO shares and collectible cards, and extending to legal corpus (agreements, court filings), logistics & trade documents, real‑ estate registries, insurance claims, and more. This white paper details capability coverage and end‑ to‑ endprocessing flows for each scenario.
$AT
Συνδεθείτε για να εξερευνήσετε περισσότερα περιεχόμενα
Εξερευνήστε τα τελευταία νέα για τα κρύπτο
⚡️ Συμμετέχετε στις πιο πρόσφατες συζητήσεις για τα κρύπτο
💬 Αλληλεπιδράστε με τους αγαπημένους σας δημιουργούς