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verifiable-data

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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.

  • Updated Sep 13, 2026
  • Python

Local first web scraper that turns any URL into clean Markdown or JSON and signs every capture with an offline verifiable Ed25519 provenance manifest called BPM. Git like history and diff for web data, plus an MCP server so AI agents can prove what they read. TypeScript monorepo, AGPL-3.0 engine, Apache-2.0 spec and SDKs.

  • Updated Aug 12, 2026
  • TypeScript

Reality-grade infrastructure for portable proof, identity, ownership, authority, and carried history. Build verifiable experiences with the Receiz SDK, MCP, and AI Skills.

  • Updated Sep 8, 2026
  • JavaScript

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.

  • Updated Sep 21, 2026
  • JavaScript

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