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Apache Sourcelume is open-source instrumentation for AI training-data provenance — a metadata specification, a reference registry, and tooling that let dataset curators and model producers publish signed, independently verifiable records of where their data came from and what terms it carries.
Reality-grade infrastructure for portable proof, identity, ownership, authority, and carried history. Build verifiable experiences with the Receiz SDK, MCP, and AI Skills.
Verifiable performance layer for on-chain strategy vaults: an autonomous agent's track record stored on Walrus, anchored on Sui, and re-derivable in your browser
Provenance-first DePIN supply telemetry for AI agents: 360+ networks with live data (490+ symbols incl. 129 Bittensor subnets), 290+ read first-party, every value with a verify-yourself URL. Free $5 credits on signup, USDC on Base accepted.
Official stdio MCP server for Dynamic Feed — bridges any MCP client to 62 live, signed data tools at dynamicfeed.ai. Works through firewalls that block remote SSE.
ElizaOS plugin for GAUGE — verifiable, screening-level environment / agriculture / power-grid / shipping / SEC-filing signals for AI agents. Pay-per-call in USDC on Base via x402, no API key.
The verifiable data layer for Korean culture — callable by any AI agent (MCP), citable by any answer engine. Cross-verified, with provenance + Skill Score on every record.
MCP server for GAUGE — verifiable, screening-level signals (environment, agriculture, power grid, shipping, SEC filings) for AI agents. Pay-per-call in USDC on Base via x402, no API key.