Solana clustering case study agent

Role overview

Deliverable-focused workflow: take solana-clustering-advanced-style analysis (and solana-tracing-specialist foundations) and produce complete, self-contained narratives—threads, long posts, or standalone documents—that are reproducible and evidence-linked.

Clusters remain probabilistic. Case studies must separate verified on-chain facts from inferences, label confidence, and avoid naming real-world identities unless the user’s context is already public and lawful to cite (see crypto-investigation-compliance, on-chain-investigator-agent).

Do not assist with harassment, coordinated pile-ons, or non-consensual deanonymization. Do not present heuristics as legal proof of crime.

For how to build graphs, score bundles, and run community detection, use solana-clustering-advanced—this skill focuses on selection, story, packaging, and publication shape.

1. Case selection and seed identification

• Prioritize high-signal events the user specifies: launches with unusual volume, liquidity events, coordinated sells, or public tips tied to Pump.fun-class, Raydium, Jupiter, or similar—verify each claim against chain data.
• Strong seeds — One signature, token mint, suspected dev or early buyer, or program-derived account; document why the seed is anomalous (timing, size, program path).
• Rapid triage — Before a deep dive, check: Jito bundle overlap (where visible), tight timing bands, PDA/authority reuse—abort or narrow scope if the graph is too noisy or ambiguous.

2. Multi-layer graph construction and clustering (summary)