RSS3

What is RSS3?

RSS3 is a decentralized “Open Information Layer” protocol launched in 2021 by Natural Selection Labs, with backing from Coinbase Ventures and Dragonfly :contentReference[oaicite:1]{index=1}. Its aim is to decentralize content indexing and distribution by offering a permissionless, cross-chain data network built on two key layers: the Data Sublayer (indexing feeds across blockchains) and the Value Sublayer (an Ethereum Layer-2 that monetizes and tokens activities) :contentReference[oaicite:2]{index=2}.

Designed to power AI, social media, and next-gen search, RSS3 standardizes metadata formats across multiple decentralized sources via the RSS3 protocol, enabling seamless interoperability :contentReference[oaicite:3]{index=3}. Feeds use a unified metadata schema (UMS) to structure JSON-based “RSS3 data” maintaining history, authorship, encryption, signatures, and content tags :contentReference[oaicite:4]{index=4}.

Key Features

• Data & Value Layers: Data Sublayer indexes open content. Value Sublayer incentivizes node participation via native $RSS3 :contentReference[oaicite:5]{index=5}.
• Unified Metadata Schema: Standardizes feeds across wallets, social dApps, and content protocols :contentReference[oaicite:6]{index=6}.
• AI & Analytics: Supports content provenance, essential for AI model training and on-chain search engines :contentReference[oaicite:7]{index=7}.
• Cross-Chain Interoperability: Works with Ethereum, Polkadot, IPFS, Arweave :contentReference[oaicite:8]{index=8}.
• Open and Modular: Open-source, governance via token holders, includes node/indexer/minter modules :contentReference[oaicite:9]{index=9}.

Enterprise Use Cases

• On‑chain Reputation: Attest user profiles and credentials via feed metadata.
• AI Training Data: Secure provenance helps regulatory-aligned use cases.
• Cross-dApp Content Aggregation: Summarize activity from DeFi, NFT, DAO posts.
• Decentralized Search: Power enterprise-grade search across token feeds, social and content apps.
• Compliance Audits: Immutable logs trace content ownership and edits—audit-ready metadata.

Integrated with Cryptoworth’s crypto accounting software, RSS3 can feed structured metadata and token transactions—including xRefs, publishing timestamps, and staking/mining events—into ledger systems. This supports accounting for monetization of content, staking rewards, and subscription income on $RSS3, along with content provenance for asset-backed journal entries.

Frequently Asked Questions

Can Cryptoworth track $RSS3 staking and feed income?

Yes. RSS3’s Value Sublayer emits stakes, feed-mining, and fee events including token amounts, timestamps, and user addresses. Cryptoworth ingests these to record staking output, revenue, and cost basis.

How does RSS3 content metadata support accounting?

Content metadata in feed transactions—author IDs, publication timestamps, signatures—enables audit trails for content payments, licensing revenue, and creator economics. Cryptoworth maps these to revenue streams in the ledger.

Is RSS3 compatible with regulatory reporting?

Absolutely. RSS3’s standardized metadata and tokenized micropayments provide granular traceability, supporting compliance across cross-chain and multi-platform content monetization.

Can RSS3 data be used for asset valuation or intangible asset management?

Yes. Structured data feeds can be tagged as intangible assets within Cryptoworth, with periodic valuation based on feed engagement, content licensing, or subscription flows processed on-chain.