ZWING KG

Endpoints (35 live)

• GET /api/changes — Track real-time changes to the crypto knowledge graph — new tokens listed, protocol metrics updated, investor relationships added, governance proposals created. Monitor the pulse of the crypto ecosystem as data flows in from multiple sources daily | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.1 USDC on Base)
• GET /api/insights/entity/1 — Comprehensive risk and opportunity analysis for any crypto entity. Returns all active signals with full evidence across 50 signal types: smart money flows, DeFi risk, governance, token unlocks, yield anomalies, and cross-domain convergence alerts. Includes AI-synthesized narratives with actionability ratings. Free signal browsing at GET /api/insights/signals, full catalog at GET /api/signals/catalog | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (1.5 USDC on Base)
• GET /api/insights/signals/governance-apathy — Governance Apathy: Flags governance proposals with extremely low voter turnout. Why it matters: Low participation means decisions affecting billions in TVL are made by a handful of voters, creating governance capture risk. High score: Turnout <1% — governance is effectively unguarded. Example: DAO X: proposal with only 23 voters. A $500M decision made by 23 people. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/whale-cross-protocol — Whale Cross-Protocol Activity: Identifies wallets with significant activity across many distinct protocols simultaneously, revealing sector-level thesis bets. Why it matters: Sophisticated actors diversify across protocols within a thesis. Tracking their cross-protocol footprint reveals emerging sector narratives. High score: Wallet active across 15+ protocols. Example: Wallet active across 18 protocols spanning DeFi lending and liquid staking sectors. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/stablecoin-depeg — Stablecoin Peg Deviation: Monitors stablecoin prices for deviations from their target peg, flagging >0.5% deviation with >$1M supply. Why it matters: Stablecoin depegging is a systemic risk event that cascades through lending protocols, DEX pools, and payment systems. High score: Deviation >2% — active depegging event. Example: Stablecoin Z: trading at $0.9847 (1.53% below peg). Circulating: $340M. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/developer-network — Shared Developer Network: Analyzes code repositories to find projects sharing the same developers and identifies bus factor risk. Why it matters: Developer talent is the scarcest resource in crypto. Shared developers indicate code dependencies and correlated risk. High score: 10+ shared developers — deep technical interdependence. Example: Token A and Token B share 12 GitHub contributors. Token C has only 1 active contributor. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/insider-accumulation — Insider Accumulation / Distribution: Detects when protocol insiders — team members, early investors, and known affiliated wallets — are systematically buying or selling tokens over a rolling window. Why it matters: Insiders possess asymmetric information about protocol health. Sustained insider buying often precedes positive catalysts, while coordinated selling can signal internal concerns. High score: Large-scale directional flow (>$1M net) with strong buy/sell skew. Example: Protocol X: insider accumulation of $2.4M (47 transactions, 89% buys). | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/stablecoin-supply-shift — Stablecoin Supply Shift: Detects large week-over-week changes in stablecoin circulating supply (>10% with >$1M circulation). Why it matters: Stablecoin supply is a proxy for capital entering and exiting the crypto ecosystem, preceding market movements. High score: Supply change >30% — massive capital flow. Example: Stablecoin W: supply expanded +22% week-over-week ($180M increase). | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/utilization-stress — Utilization Stress: Monitors lending protocol utilization rates and flags when utilization exceeds 85%. Why it matters: Utilization above 85% means lenders cannot withdraw and borrowing rates spike as the interest rate curve enters its steep zone. High score: Utilization >95% — critical liquidity stress. Example: Protocol X: utilization at 93.2% ($1.8B borrowed of $1.93B deposited). | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/earnings-health — Earnings Health: Identifies protocols with deeply negative earnings (daily losses >$10K) that are worsening or improving. Why it matters: Worsening losses with no revenue growth signals a death spiral. Improving losses signal a potential turnaround. High score: Losses >$100K/day and worsening. Example: Protocol B: earnings deeply negative at -$82K/day and worsening (+15% losses in 30d). | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/narrative-synthesis — Narrative Synthesis: AI-synthesized briefings connecting multiple signals into actionable context with explicit evidence chains. Why it matters: Raw signals require interpretation. Narrative synthesis saves hours of manual analysis and surfaces connections analysts might miss. High score: Urgent narratives — active depegs, large insider selling, governance closing within 48h. Example: HEADLINE: Lending Protocol Under Multi-Dimensional Stress. Utilization 93.2%, insiders sold $3.2M, governance vote closes in 36h. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/exchange-liquidity-risk — Exchange Liquidity Risk: Identifies tokens available on very few exchanges (1-2) or with wide bid-ask spreads (>2%). Why it matters: Low exchange coverage means liquidity risk and deplatforming risk. Wide spreads tax every transaction. High score: Single exchange with wide spread — severe risk. Example: Token H: listed on only 1 exchange with $340K 24h volume. Spread 4.2%. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/convergence-alert — Convergence Alert: Detects when an entity triggers 3+ independent signal types from different analytical domains simultaneously. Why it matters: Individual signals can be noisy. Convergence from independent domains drops false positive probability dramatically. High score: 5+ signal types converging. Example: Protocol J: 4 signal types converge — insider_flow, utilization_risk, governance_apathy, yield_anomaly. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/unlock-pressure — Unlock Pressure: Identifies tokens with upcoming unlock events releasing >5% of circulating supply. Why it matters: Token unlocks are the most predictable supply shocks in crypto. Recipients (usually VCs/team) may sell. High score: Unlock >15% of circulating — extreme supply shock. Example: Token G: next unlock = 45M tokens (12.3% of circulating, ~$18M) in 14 days. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/treasury-health — Treasury Health: Analyzes protocol treasuries for concentration (>80% own tokens) and runway (non-own reserves vs operational costs). Why it matters: A treasury dominated by own tokens provides only circular value. Selling to fund operations crashes the price. High score: Own tokens >95% or runway <90 days. Example: Protocol E: 94% of $180M treasury is own tokens. Non-own reserves: $10.8M. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• POST /api/sparql — Query the ZWING crypto knowledge graph using SPARQL. Covers 586K+ entities across 8,200+ protocols, tokens, chains, investors, governance, and DeFi data from DefiLlama, CryptoRank, CoinGecko, TokenTerminal, Snapshot, and Tally. Free schema with all predicates and classes at GET /api/schema | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.1 USDC on Base)
• GET /api/insights/signals/sector-rotation — Sector Capital Rotation: Aggregates insider capital flows by market sector to detect early rotation between sectors. Why it matters: Sector rotation by informed participants is one of the strongest leading indicators in crypto markets. High score: Sector net flow >$5M with strong imbalance. Example: DeFi Lending: net insider inflow of $8.2M (+34% imbalance, 156 transactions). | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/yield-sustainability — Yield Sustainability: Identifies pools where reward token emissions drive the majority of yield (reward APY > 5x base APY). Why it matters: When reward APY is 10-20x the organic yield, the pool is a token distribution mechanism disguised as a yield opportunity. High score: Reward/base ratio >15x — almost entirely emissions. Example: Pool ABC: reward APY (42.5%) is 17x base APY (2.5%). TVL: $2.8M. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• GET /api/insights/signals/cluster-unlock-risk — Cluster Unlock Risk: Detects when multiple tokens within the same investment cluster have simultaneous upcoming unlocks. Why it matters: Correlated unlock timing creates compounding selling pressure that simple unlock calendars miss. High score: Combined unlock >15% across a co-invested cluster. Example: Cluster 7: 4 co-invested tokens with upcoming unlocks totaling 11.2% of circulating. | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.2 USDC on Base)
• POST /api/search — Semantic search over 586K+ crypto entities — find tokens, protocols, chains, investors, and people by name or meaning. Combines exact name matching with vector similarity for fuzzy discovery. Returns URIs, labels, and similarity scores | ZWING Intelligence (https://zwing.finance) — contact: v@zwing.finance, Telegram: @valery_zzz (0.1 USDC on Base)

+15 more endpoints.