Keryx

Keryx is an AI research tool that answers questions using cited evidence while compensating eligible content creators with USDC rewards on Arc mainnet.

Keryx is an AI research assistant that answers questions using cited sources from scholarly repositories and the public web. Users can set a question budget in USDC, allowing the agent to evaluate source previews, decide which content to purchase, and explain its source selections. The system outputs a research report with citations supporting its claims and highlights when evidence is thin. Creators who link an RSS feed and prove ownership can earn read payments and weighted citation rewards on Arc mainnet. Reports can be saved via public links or downloaded locally.

Keryx at a glance

Best for: Researcher, Student, Writer
Runs on: Web
Pricing: Sponsored trial with limits and no wallet required; set custom USDC spending caps per question (model and search operating costs are separate).
Released: October 2026
Category: AI research tool
Website: keryx.cc

Key features

Answers questions using cited evidence from the web and scholarly repositories
Performs DOI lookups automatically when included in questions
Enforces user-defined USDC spending caps for content purchases
Explains source decisions by stating which references were bought or skipped
Pays verified creators weighted USDC rewards on Arc mainnet for qualifying citations
Integrates RSS feeds with custom access tolls for publisher payouts
Tracks settled, pending, and simulated payments on a public ledger
Generates shareable public report links and downloadable local copies

Use it for

Researching scholarly and web topics with verified citations
Looking up academic papers and abstracts via DOI
Monetizing published writing and RSS feeds through paid AI citations
Generating cited research reports within a custom USDC spending budget

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