100 asset hives. GPT-Doug synthesizes. GPT-Chaos challenges.
A live research and visualization surface for the top 100 cryptocurrencies by market capitalization. The ranking is fetched at runtime so a changing market does not become frozen ontology. Each asset gets a structured hive record; specialist swarms collect descriptive evidence; GPT-Doug reconciles the current picture; GPT-Chaos asks what could make that picture incomplete or wrong.
Patent-inspired representation pipeline
Generalized from text/embedding/model/render concepts into a crypto research representation. XUNIA is not claiming that this browser page runs NeRFs or trains a hypernetwork.
999-swarm allocation
Eight specialist roles × 100 assets = 800 per-asset roles. Another 198 logical swarms compare categories, correlations, infrastructure and systemic conditions. Swarm 999 reconciles.
Live top-100 hive surface
Primary runtime feed: CoinGecko public markets endpoint. This page deliberately fails visibly instead of silently presenting stale rankings when the feed is unavailable.
Asset hive contract
The market snapshot is only one layer. Deeper research workers can extend each namespace without overwriting provenance or uncertainty.
identityProvider ID, symbol, name, network/category aliases.
market_snapshotRank, price, market cap, volume, supply, change windows and timestamp.
protocolConsensus, architecture, issuance, utility and technical dependencies.
securityAudits, incidents, upgrade controls, bridges, custody and threat assumptions.
governanceDecision rights, admin authority, voting, treasury and concentration evidence.
ecosystemApplications, integrations, developer signals and dependency graph.
doug_synthesisCompact evidence-grounded state summary with confidence and unresolved gaps.
chaos_challengesCounterexamples, source conflicts, missing evidence and assumptions to retest.
provenanceSource URLs, retrieval times, versions, transformations and verification status.