com.cryptowhaleinsights/whale-insights

Get curated active and upcoming crypto airdrops — 35 hand-verified entries with chain, status, eligibility info — Curated list of active airdrop opportunities. `updatedAt` reflects the last manual content revision, not request time. Cached ~1hr.

Analyst signal archive — paginated 1-year history (public, MCP-compatible) — Returns a paginated archive of signals attributed to a single analyst, covering up to 1 year (365 days). This is the MCP-tool-compatible variant of the analyst archive — it uses query params instead of path params so AI agents can call it directly without resolving a URL template. Analyst IDs: chain_hawk (ChainHawk, BTC & macro on-chain), whale_watch (WhaleWatch, multi-chain whale moves), alpha_scout (AlphaScout, emerging tokens), defi_pulse (DeFiPulse, DeFi/stables/bridges), quant_edge (QuantEdge, signal risk/convergence), rate_hawk (RateHawk, funding rates & derivatives), flow_tracer (FlowTracer, stablecoin & capital flows), unlock_guard (UnlockGuard, token unlock risk), sentiment_edge (SentimentEdge, social sentiment extremes), narrative_pulse (NarrativePulse, sector rotation & narratives). Filters: period (7d | 30d | 90d | 365d, default 90d), outcome (all | win | loss | neutral | pending, default all), page (1-indexed, default 1)

Get today's AI-generated commentary for all 10 analysts — 2-sentence summaries with signal count, confluence score, BTC trend (generated 9:00 UTC) — Returns today's AI-generated daily commentary for all 10 analyst personas. Summaries are generated each morning at 9:00 UTC using gpt-4o-mini based on the previous 24h of signals, Fear & Greed score, BTC trend, and cross-analyst confluence. Public endpoint — no authentication required. Only shortSummary is returned (2 sentences). Full commentary is available via the authenticated Pro endpoint /api/analysts/:id/daily-summary. Fields per analyst: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, signalCount (signals in the past 24h), confluenceScore (0-100: % of other analysts with overlapping tokens in last 2h), fearGreedScore (0-100), btcTrend ('up'|'down'|'sideways'|null). Cached 30 minutes. Returns empty summaries array before 9:00 UTC on any given day. 60 req/min rate limit.

Monthly performance summary for all analysts (last 6 months) — Returns win_rate, avg_return, and total_signals per analyst per calendar month for exactly the last 6 calendar months (current month + 5 prior full months, enforced with DATE_TRUNC('month') boundaries — never more than 6 month buckets). All 10 canonical analysts (chain_hawk, whale_watch, alpha_scout, defi_pulse, quant_edge, rate_hawk, flow_tracer, unlock_guard, sentiment_edge, narrative_pulse) are always present in the response with an empty array [] when they have no signals in the window. Data is computed directly from the signal_history PostgreSQL table — no separate snapshot table required. winRate is a fraction (0–1, e.g. 0.71 = 71%) and is null when fewer than 5 resolved signals exist for that month. avgReturn is in percentage points (e.g. 12.3 = +12.3% average return) and is null when no resolved+priced signals exist for that month. Useful for AI agents answering 'How did WhaleWatch perform in May?' or 'Who was the best analyst last month?'

Get historical daily AI analyst summaries — query by date or by analyst+days (max 90 days; use analyst_daily_summary for today's data) — Returns a paginated history of daily AI analyst summaries. Query by specific date (?date=YYYY-MM-DD) to see all analyst summaries for one day, or by analystId (?analystId=chain_hawk&days=30) to get the last N days for one analyst. Maximum 90 days. Only shortSummary is returned (full commentary is Pro-only). Fields per record: analystId, analystName, summaryDate (YYYY-MM-DD), shortSummary, summaryAr, summaryHi, summaryZh, summaryRu, signalCount, confluenceScore, fearGreedScore, btcTrend. No auth required. 60 req/min.

Top predicted tokens per analyst — win-rate aggregates over last 90 days (MCP-compatible) — Returns the top 5 tokens (by win rate) attributed to a single analyst over the last 90 days. Only tokens with ≥ 3 resolved (win/loss) signals are included — this ensures the win-rate figures are statistically meaningful and not based on a single lucky trade. Use ?analystId= with one of: chain_hawk (ChainHawk, BTC & macro on-chain), whale_watch (WhaleWatch, multi-chain whale moves), alpha_scout (AlphaScout, emerging tokens), defi_pulse (DeFiPulse, DeFi/stables/bridges), quant_edge (QuantEdge, signal risk/convergence), rate_hawk (RateHawk, funding rates & derivatives), flow_tracer (FlowTracer, stablecoin & capital flows), unlock_guard (UnlockGuard, token unlock risk), sentiment_edge (SentimentEdge, social sentiment extremes), narrative_pulse (NarrativePulse, sector rotation & narratives). Each token entry returns: token (symbol string), total (all signals in window including pending), resolved (signals with a win/loss ou

Analyst personas with live performance stats — Returns all 10 pseudonymous CryptoWhaleInsights analyst personas — ChainHawk (BTC & Macro On-Chain), WhaleWatch (Multi-Chain Whale Tracking), AlphaScout (Emerging Tokens & Narratives), DeFiPulse (DeFi, Stablecoins & Bridges), QuantEdge (Signal Performance & Risk), RateHawk (Funding Rates & Derivatives), FlowTracer (Stablecoin & Capital Flows), UnlockGuard (Token Unlock Risk & Recovery), SentimentEdge (Social Sentiment Extremes), NarrativePulse (Sector Rotation & Narratives). These are algorithmic signal-attribution identities, not human analysts: every signal generated by the platform's on-chain monitoring engine is automatically attributed to the analyst whose domain matches the alert type and chain. Stats are 100% real — computed from the live signalHistory PostgreSQL table using the same resolved-signal logic as the Signal Performance Proof page. winRate is a fraction (0.71 = 71% win rate); avgReturn is a percentage (12.3 = +12.3% average return per signal). B

Analyst signal history — single or multi-analyst (public, free-tier, MCP-compatible) — Returns the last 7 days of signals for one or more analysts in a single request. Pass a single id (e.g. ?id=chain_hawk) for one analyst or a comma-separated list (e.g. ?id=chain_hawk,whale_watch) to compare multiple analysts without extra round-trips. Analyst ids: chain_hawk (ChainHawk, BTC & macro), whale_watch (WhaleWatch, multi-chain whales), alpha_scout (AlphaScout, emerging tokens), defi_pulse (DeFiPulse, DeFi/stables/bridges), quant_edge (QuantEdge, signal risk/convergence). Always free-tier depth (last 7 days, up to 200 signals per analyst). No authentication required. Single-id response: { analystId, tier, signals[], updatedAt }. Multi-id response (comma-separated): { results: { [analystId]: signals[] }, tier, updatedAt }. To fetch all 10 analysts at once, use GET /api/public/analysts/signals/all. Each signal: id (number), tokens (array), typeLabel, outcome ('win'|'loss'|null), returnPct (null if unresolved), create

All analysts' signal history in one request (public, free-tier, MCP-compatible) — Returns the last 7 days of signals for all 10 analysts grouped by analystId in a single response — ideal for AI agents that need a cross-analyst comparison without 10 round-trips. Analyst ids in the response: chain_hawk (ChainHawk, BTC & macro), whale_watch (WhaleWatch, multi-chain whales), alpha_scout (AlphaScout, emerging tokens), defi_pulse (DeFiPulse, DeFi/stables/bridges), quant_edge (QuantEdge, signal risk/convergence). Always free-tier depth (last 7 days, up to 200 signals per analyst). No authentication required. No query parameters needed. Response: { results: { [analystId]: signals[] }, tier: 'free', updatedAt }. Each signal: id (number), tokens (array), typeLabel, outcome ('win'|'loss'|null), returnPct (null if unresolved), createdAt (ISO-8601), analystId. To fetch a subset of analysts, use GET /api/public/analysts/signals?id=chain_hawk,whale_watch.

Get the highest win-rate analyst right now — one analyst with win rate, avg return, last 3 signals (min 5 resolved trades required) — Returns the single analyst with the highest win rate among those with at least 5 resolved signals, plus their last 3 recent signals (using the free 7-day window). Useful for AI agents that want to surface the best-performing signal source without iterating over all 10 analysts. Returns { analyst: null } when no analyst yet has 5+ resolved signals. Analyst IDs map to: chain_hawk=ChainHawk (BTC), whale_watch=WhaleWatch (multi-chain), alpha_scout=AlphaScout (emerging tokens), defi_pulse=DeFiPulse (DeFi/stables), quant_edge=QuantEdge (risk/convergence). winRate is a fraction (0.71 = 71%); avgReturn is percentage points (12.3 = +12.3%). Cached ~10min.

Historical arbitrage opportunities — top 5 per day (MCP-compatible) — Returns a daily history of the top 5 cross-exchange arbitrage opportunities detected by the platform. Each day entry lists the 5 highest-spread opportunities saved by the cron job, including token symbol, spread percentage, buy/sell exchanges, and average USD volume. Useful for AI agents answering questions like 'which tokens appear most frequently in arbitrage?' or 'what is the average daily spread?'. Data is accumulated daily; older than 180 days is automatically purged. Response: { days, history: [{date, opportunities: [{symbol, spreadPct, buyExchange, sellExchange, usdVolume}]}], total, updatedAt }. Query parameter: ?days=7 (default 7, max 180). No authentication required. 60 requests/min rate limit. 5-min in-process cache.

Cross-exchange arbitrage permanent monthly archive — Returns the permanent monthly archive of cross-exchange arbitrage opportunities — one row per symbol per calendar month, aggregated from daily snapshots before they are purged after 180 days. This archive is never deleted and grows indefinitely, enabling AI agents to answer historical questions like 'which token consistently had the highest arbitrage spread?' across months of data. Each row includes: month (YYYY-MM-01), symbol, avgSpreadPct (average % spread that cycle), occurrenceCount (how many daily snapshots contributed), buyExchange, sellExchange, avgUsdVolume, daysInMonth. Months with fewer than 5 daily records are excluded. Data source: CryptoWhaleInsights arbitrage scanner (DexScreener allPairs, 158 tokens). No authentication required. 60 req/min. 1-hr cache.

Get daily cross-chain bridge flow history — total volume USD, transaction count, protocol count, and top protocol over up to 90 days — Daily historical cross-chain bridge activity aggregated from LI.FI API (covering 9+ protocols). One row per day: total bridged volume in USD, transaction count, number of active protocols, and the dominant protocol by volume. Useful for tracking cross-chain capital flow trends. DB-backed, 5-min cache. Powered by bridge_flow_daily table (365d retention, permanent monthly archive).

Get recent large cross-chain bridge transfers — Stargate Finance, Socket/Bungee via LI.FI (top 3 free; capital-rotation signal) — Recent large cross-chain bridge transfers and per-bridge volume summaries sourced from LI.FI. Free preview: top 3 flows + 2 bridge summaries; the full flow history requires a Weekly Alpha subscription. Cached ~10min.

Get token burn events and 14-day burn history — ETH, SOL, BNB burns from Etherscan + Blockchair + Solana RPC (top 3 free) — Recent on-chain token burn events (with explorer-verifiable tx) plus a 14-day daily burn-volume history, sourced from Etherscan, Blockchair, and Solana RPC. Free preview: top 3 events; the full list requires a Weekly Alpha subscription. Served from cache (no per-request AI cost). Cached ~5min.

Get the Crypto Fear & Greed index — composite 0-100 score, label, 7-factor breakdown, recent history (use fear_greed_monthly for long-term trends) — 7-factor crypto Fear & Greed sentiment index with the current score, label, contributing factors, and recent history. Cached ~5min.

Get daily Fear & Greed score history — 0-100 score + Extreme Fear/Greed label per day over up to 180 days (use fear_greed_monthly for 2-year trends) — Daily historical Fear & Greed score and classification for the last N days (default 30, max 180). One row per day saved from the platform's 7-factor composite index. Useful for trend analysis and AI agent context. DB-backed, 5-min cache.

Fear & Greed permanent monthly archive — Returns the permanent monthly archive of the Fear & Greed index — one row per calendar month, aggregated from daily snapshots before they are purged. Never deleted; grows indefinitely providing AI agents with macro sentiment context across months and years. Each month includes: avgScore (0–100 average), minScore, maxScore, dominantClassification (Extreme Fear / Fear / Neutral / Greed / Extreme Greed), fearDays (days with score<40), greedDays (score>60), neutralDays, daysInMonth. Months with fewer than 20 daily records are excluded. No authentication required. 60 req/min. 5-min cache.

News feed archive — paginated 30-day history (public, MCP-compatible) — Returns a paginated archive of crypto news articles, analysis, and AI-generated summaries from the CryptoWhaleInsights feed, covering the last 30 days. Whale movement events are excluded — use /api/public/whale-movements for on-chain flow data. AI agents can use this to read the latest crypto news, market analysis, and AI-generated summaries without any credentials. Optional type filter: news (RSS articles), ai (AI-generated summaries), manual (analyst notes). Default: all non-whale-move items. Optional keyword search: q (max 100 chars) filters by token name or keyword — case-insensitive match on title and summary (e.g. q=ETH returns only ETH-related items). Pagination: page (1-indexed, default 1), pageSize fixed at 20. period filter: 7d | 30d (default 30d — maximum public window). Response: { items[], total, page, pageSize, hasMore, updatedAt }. Each item: id (number), title (string), summary (string), source (string — feed source name e

Funding rate permanent monthly archive — Returns the permanent monthly archive of perpetual funding rates per token — one row per token per calendar month, aggregated from daily snapshots before purge. Never deleted; covers the top 10 tokens by volume. Optional ?symbol=BTC to filter. Each row includes: month, symbol, avgRate, minRate, maxRate, dominantSentiment (bullish/neutral/bearish based on avg rate), daysInMonth. Months with fewer than 20 daily records are excluded. No authentication required. 60 req/min. 5-min cache.

Get live perpetual futures funding rates — top tokens across Gate.io, MEXC, Kraken with bullish/bearish sentiment — Perpetual futures funding rates aggregated from Gate.io, MEXC, and Kraken, with a derived sentiment label. 3-min cache; check `meta.cacheAgeSeconds` for exact age. `meta.exchangeCount` tells how many exchanges contributed data this cycle (up to 3).

Funding rates history (daily snapshots) — Returns the daily historical perpetual futures funding rate for a single token over the last N days (default 30, max 180). Rates are sourced from Gate.io, MEXC, and Kraken, recorded once per day from the live 5-min funding-rate cycle. Top 10 tokens by volume are snapshotted: BTC, ETH, SOL, BNB, XRP, DOGE, ADA, AVAX, LINK, DOT. Each day includes per-exchange rates (gateio/mexc/kraken) plus a derived avg and sentiment label. Sentiment: avg > 0.05% = bearish (leveraged longs paying shorts → market top signal); avg < -0.01% = bullish (shorts paying longs → market bottom signal); otherwise neutral. Use ?symbol=BTC&days=30 (symbol defaults to BTC; days is 1–180). Cold-start days with no data are omitted. Cached 5min.

Get real-time gas prices across 7 chains — ETH, SOL, BNB, Base, ARB, Polygon, AVAX with USD fee estimates — Current gas/transaction fees across ETH, SOL, BNB, Base, ARB, Polygon, and AVAX, with USD estimates per speed tier. 30s cache; check `meta.cacheAgeSeconds` for exact age. `meta.chainCount` tells how many networks are in the current response.

Get daily gas price history — ETH/BNB/ARB/POLY/BASE fast gwei + SOL lamports over up to 90 days — Daily historical gas prices across 7 blockchain networks. One row per day: ETH fast gwei, ETH standard gwei, BNB fast gwei, ARB fast gwei, POLYGON fast gwei, BASE fast gwei, and SOL priority fee in lamports. Useful for tracking gas fee trends and identifying high/low gas periods. DB-backed, 5-min cache. Powered by gas_price_daily table (365d retention, permanent monthly archive).

Golden Alerts history (daily summaries) — Returns a daily summary of Golden Alerts for the last N days (default 30, max 180). Each day's entry includes the total alert count plus a breakdown by severity (high/medium/low) derived from alert confidence scores (≥75 = high, ≥50 = medium, <50 = low), and the top tokens that appeared most frequently in alerts that day. Backfilled from 17 days of real signal_history data (confidence scores from 49,000+ on-chain signals). Data is persisted once per 5-min alert cycle via ON CONFLICT DO UPDATE so each day's entry reflects the latest alert state at last refresh. Days with no data are omitted from the history array. Use ?days=N to control the look-back window (1–180, default 30). Cached 5min.

Golden Alerts permanent monthly archive — Returns the permanent monthly archive of Golden Alert activity — one row per calendar month, aggregated from daily snapshots before they are purged. This archive is never deleted and grows indefinitely, providing AI agents with long-term trend data on alert severity and top tokens across months and years. Each month includes: totalCount (total alerts that month), highCount/mediumCount/lowCount (severity breakdown), topTokens (5 most-active tokens), daysInMonth (days with data), avgPerDay (daily average). Months with fewer than 20 daily records are excluded to ensure statistical accuracy. Data source: CryptoWhaleInsights own signal_history database (49,000+ on-chain signals). No authentication required. 60 req/min. 5-min cache.

Golden Alerts snapshot — latest market intelligence alerts (public, MCP-compatible) — Returns the latest snapshot of CryptoWhaleInsights Golden Alerts — up to 27 high-signal market alerts refreshed every 5 minutes by the platform's cron job. Each alert represents a confluence of whale on-chain activity, volume momentum, and Fear & Greed context. This endpoint reads directly from the in-process cache (no new AI query triggered per request). Pro-only fields (raw confidence score, internal factors, price targets, exit signals) are intentionally omitted; severity is mapped to low/medium/high for public consumption. Alert types: accumulation | fear_buy | smart_money_loading | volume_breakout | whale_convergence. Severity mapping: high (confidence ≥70%), medium (45–69%), low (<45%). Response: { alerts[], total, refreshedAt (ISO-8601 or null if cache empty), updatedAt }. Each alert: id, title, type, severity, tokens (string[]), chains (string[]), summary, aiInsight, analystId (string | null), createdAt. No authentic

Get daily Leverage Radar market-level history — avg/max pressure score, setup score, assets in critical zone, dominant regime, Fear & Greed over up to 90 days — Daily historical Leverage Radar market aggregates. One row per day: average pressure score across 30 tracked assets, maximum single-asset pressure, average setup score, count of assets in critical zone (≥76), dominant market regime, Fear & Greed index, and top-pressure asset symbol. DB-backed, 30-min cache. Pro-only per-asset detail excluded — market-level only.

Get Leverage Radar pick accuracy summary — historical win rate, avg return, and total pick counts across all recorded Best Trade Now picks — Aggregate accuracy statistics for all 'Best Trade Now' picks recorded by the Leverage Radar tool. Picks are saved automatically every 5 minutes when a high-confidence setup (score ≥ 60) is detected across 1h/4h/12h windows. Outcome is resolved after the close window elapses using live price data: win = +1.5% return for buy / −1.5% for sell. Records are permanent (never deleted) — this is a live data-provider proof-of-accuracy archive. Full pick list with entry/exit prices is Pro-only. 30-min cache.

Get current Leverage Radar snapshot — pressure scores, setup scores, top long/short setups, and market summary for 50 tracked assets — Public real-time snapshot of the Leverage Radar tool. Returns pressure score (0-100, how overleveraged each asset is) and setup score (0-100, how good a leveraged trade opportunity looks) for 50 tracked assets across majors, L2s, DeFi, and meme tokens. Includes market summary (overall bias, avg scores, Fear & Greed, market regime, whale buy/sell counts), top 5 long setups, top 5 short setups, and top 5 pressure alerts. Pro-only fields stripped: whale X multiplier, exact whale USD volumes, detailed setup factors, and Best Trade Now recommendation. 5-min cache. Supports ?window=1h|4h|12h (default 4h).

Get leveraged-position liquidation estimates — long and short liquidation amounts in USD per token (5-min cache) — Estimated leveraged-position liquidations by token — how much USD in long positions and short positions were force-liquidated recently. Useful for identifying tokens with high leverage risk and likely volatility triggers. Derived from market price action and open interest data. Cached ~5min. Note: these are estimates, not exact exchange data (Binance Futures and Bybit are geo-restricted from the server).

Get live activity counters — whale moves today, smart-money wallets active, golden alerts (10s cache) — Live activity snapshot for the platform (real recent counts, no fabricated floors). Cached ~10s. Response includes `meta.updatedAt` and `meta.cacheAgeSeconds` (derived from the underlying whale-copy-signals cache timestamp; 0 when the cache is cold).

Get aggregated market context for a date in one call — Fear & Greed, whale summary, sentiment, stablecoin flows, funding rates, golden alerts, analyst summaries (8 sources parallel) — Single-call aggregated market snapshot for a given date. Queries 8 data sources in parallel — Fear & Greed, whale daily summary, social sentiment (BTC/ETH/SOL), stablecoin flows, BTC funding rates, Golden Alerts daily count, analyst daily summaries (shortSummary only), and top arbitrage opportunities. No authentication required. Use ?date=YYYY-MM-DD (default = today; max 730 days back / 2 years). For dates older than 365 days where daily snapshots have been purged, the endpoint automatically falls back to the permanent monthly archive tables, returning monthly averages instead of daily values. metadata.resolution indicates 'daily' (exact day data) or 'monthly' (monthly averages from archive). metadata.dataCompleteness is the percentage of the 8 sources that have data for the requested date (0-100%). Today is cached 5 minutes; hi

Get token market heatmap — top tokens ranked by 24h performance with volume, market cap, chain (5-min cache) — Market-wide token heatmap: top tokens by 24h volume with price change, volume, market cap, and chain, blended from CoinGecko top markets plus emerging/hidden-gem tokens. Non-gated. Cached ~5min.

Get daily Market Pulse history — BUY/SELL/NEUTRAL verdict, confidence %, Fear & Greed, regime, whale buy ratio, leverage suggestion over up to 90 days — Daily historical Market Pulse verdict and confidence. One row per day: BUY/SELL/NEUTRAL verdict, confidence percentage, Fear & Greed score, market regime (Bull/Bear/Sideways/Accumulation), whale buy ratio (0-1), average leverage pressure score (0-100), and leverage suggestion. DB-backed, 5-min cache. Powered by market_pulse_daily table (365d retention, permanent monthly archive).

Get daily narrative/sector history — top crypto market sectors ranked by market cap change %, strength, and token count over up to 90 days — Daily historical narrative strength per market sector (e.g. DeFi, Layer 2, AI, Meme Coins) from CoinGecko Categories. One row per day per sector: market cap change %, strength score (0-100), token count in sector, daily rank, and top tokens. Filter by ?sector= for a single sector trend. Useful for identifying which narratives are accelerating or fading. DB-backed, 5-min cache. Powered by narrative_daily table (365d retention, permanent monthly archive).

Get top trending market narrative sectors — AI, RWA, DePIN, memecoins with momentum and top tokens (top 3 free) — Trending market narratives (e.g. AI, RWA, memecoins, DePIN) derived from CoinGecko Categories with their leading tokens. Free preview: top 3 narratives (3 tokens each); the full set requires a Weekly Alpha subscription. Cached ~30min.

Get canonical platform metrics — tracked wallets, chains, win rate, BTC benchmark — Canonical platform metrics: tracked wallets, chains, tokens, tools, languages, supported chain list, plus a safe aggregate performance subset (win rate, average return, BTC benchmark). Cached ~60s. Response includes `meta.updatedAt` (ISO timestamp of when the response was generated).

Get the latest 3 whale transfers right now — live snapshot across 14 chains (use whale_activity for counts, whale_movements for paginated archive) — The most recent on-chain whale movements detected across supported chains, each with an explorer-verifiable reference. 10-min cache; check `meta.cacheAgeSeconds` for exact age. `meta.chainCount` is the number of unique chains represented in the cache; `meta.signalCount` is the total cached signal count before the top-3 slice.

Weekly reports index — titles, summaries and dates (public, MCP-compatible) — Returns a public index of the last 12 weekly Alpha reports: title, a short plain-text summary (≤300 characters), the publish date, and the week covered. Full report content (HTML in 5 languages) remains Pro-only on GET /api/content/weekly-reports. AI agents can use this endpoint to inform users about recent report topics and dates without any authentication. Response: { reports[], total, updatedAt }. Each report: id (string), title (string), summary (string, ≤300 chars), publishedAt (ISO-8601), weekOf (YYYY-MM-DD). No authentication required. Cached 1 hour (reports are generated weekly). 60 requests/min rate limit.

Social sentiment history (daily snapshots) — Returns the daily historical social-sentiment score for a single token over the last N days (default 30, max 180). Data is sourced from CryptoWhaleInsights' own in-house Social Sentiment engine (Stocktwits + CoinGecko + price-momentum — no Twitter API). Each day is recorded once per day from the live 5-min sentiment cycle. Cold-start days with no data are omitted. Use ?symbol=BTC&days=30 (symbol is required; days is optional 1–180). Supported symbols: BTC, ETH, SOL, BNB, XRP, ADA, DOGE, AVAX, MATIC, DOT, LINK, UNI, ATOM, ARB, OP, SUI, SEI, NEAR, APT, PEPE, WIF, BONK, FET, RENDER, TAO, AAVE, MKR, LDO, INJ, TON, STX, TIA, PYTH, BLUR, MINA, and more. Score is 0–100 (≥60 bullish, ≤40 bearish). Cached 5min.

Social sentiment permanent monthly archive — Returns the permanent monthly archive of social sentiment per token — one row per token per calendar month, aggregated from daily snapshots before purge. Never deleted; covers 35 tracked tokens. Optional ?symbol=BTC to filter by token. Each row includes: month, symbol, avgScore (0–100), dominantSentiment (bullish/neutral/bearish), daysInMonth. Months with fewer than 20 daily records are excluded. No authentication required. 60 req/min. 5-min cache.

Analyst signal performance permanent monthly archive — Returns the permanent monthly archive of analyst signal performance — one row per analyst per calendar month, aggregated from signal_history before months age out. Never deleted; covers all 10 CryptoWhaleInsights analysts (chain_hawk, whale_watch, alpha_scout, defi_pulse, quant_edge, rate_hawk, flow_tracer, unlock_guard, sentiment_edge, narrative_pulse). Optional ?analystId=chain_hawk to filter by a single analyst. Each row includes: month, analystId, totalSignals, winCount, lossCount, neutralCount, winRate (0–1 fraction), avgReturn (%, wins only), topSignalType, daysInMonth. Months with fewer than 5 signals are excluded. No authentication required. 60 req/min. 5-min cache.

Get aggregate market mood — overall sentiment score/label + top 5 tokens (no auth; use sentiment_history for per-token time-series) — Non-gated social sentiment summary: the aggregate market-mood score/label plus the top 5 tokens by sentiment (AI insight text excluded). Served from cache (no per-request AI cost). Full per-token AI insights require a Max Alpha subscription. Cached ~5min.

Get current stablecoin supply & 24h net flows — USDT, USDC, DAI from DefiLlama (use stablecoin_history for daily time-series) — Current stablecoin circulating supply plus 24h net change (positive = expansion/inflow, negative = contraction/outflow) for USDT, USDC, DAI, and other major stablecoins, sourced from DefiLlama stablecoins.llama.fi. Use this endpoint for the current snapshot; use /api/public/stablecoin-history for daily time-series data (up to 180 days); use /api/public/stablecoin-monthly for long-term monthly trends. Cached ~30min.

Get daily historical stablecoin supply changes — net inflow/outflow per day over up to 180 days (use stablecoin_flows for the current snapshot) — Returns the daily historical stablecoin net-flow and total supply over the last N days (default 30, max 180). Each day is recorded once from the live DefiLlama stablecoin cycle. Cold-start days with no data are omitted. totalFlow24h is the net USD change in stablecoin supply that day (positive = expansion / inflow, negative = contraction / outflow). totalNow is the aggregate stablecoin market cap in USD at snapshot time. signal is bullish | bearish | neutral based on the 7-day net flow. Use ?days=30 to control the window. Cached 5min.

Stablecoin flow permanent monthly archive — Returns the permanent monthly archive of stablecoin flow data — one row per calendar month, aggregated from daily snapshots before purge. Never deleted; provides AI agents with long-term macro liquidity context. Each month includes: totalNetFlow (sum of daily 24h flows), avgTotalSupply, dominantSignal (bullish/neutral/bearish), bullishDays, bearishDays, neutralDays, daysInMonth. No authentication required. 60 req/min. 5-min cache.

Check live API & system health — operational/degraded verdict, per-source freshness, MCP tool count — Public health status of all CryptoWhaleInsights data sources, MCP server, and OpenAPI spec. Returns overall verdict (operational/degraded/outage), per-source health with age in seconds, recent 24-hour error count, MCP tool count, and OpenAPI path count. Useful for AI agents and developers to verify the platform is live before making requests. Cached ~30s.

Get crypto capital-gains tax rate brackets by jurisdiction — US, UK, DE, AU, CA, IN, AE, SG (educational reference) — Reference crypto tax-rate brackets across supported jurisdictions (US, UK, DE, AU, CA, IN, AE, SG, OTHER) for the tax calculator. Educational only — not tax advice. Cached ~1hr.

Get currently trending crypto tokens — top gainers by 24h volume from DexScreener + CoinGecko merged (5-min cache) — Currently trending tokens sourced from DexScreener + CoinGecko top-50, merged and ranked by 24h volume. 5-min cache; check `meta.cacheAgeSeconds` for exact age. `meta.tokenCount` reflects the number of tokens in the current response.