com.cryptowhaleinsights/whale-insights

platform_stats

Platform statistics — 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).

No parameters.

status

API & system status — 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.

No parameters.

live_stats

Live platform metrics — 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).

No parameters.

recent_whales

Recent whale movements — 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.

No parameters.

trending

Trending tokens — 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.

No parameters.

gas

Gas prices — 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.

No parameters.

funding_rates

Perpetual funding rates — 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).

No parameters.

stablecoin_flows

Stablecoin flows — Stablecoin supply / mint / burn data sourced from DefiLlama. Cached ~30min.

No parameters.

liquidations

Liquidation map — Recent market liquidation estimates by token. Cached ~5min.

No parameters.

airdrops

Airdrop tracker — Curated list of active airdrop opportunities. `updatedAt` reflects the last manual content revision, not request time. Cached ~1hr.

No parameters.

tax_rates

Crypto tax rates — 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.

No parameters.

fear_greed

Fear & Greed index — 7-factor crypto Fear & Greed sentiment index with the current score, label, contributing factors, and recent history. Cached ~5min.

No parameters.

market_heatmap

Market heatmap — 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.

No parameters.

narratives

Crypto narratives — 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.

No parameters.

bridge_flows

Cross-chain bridge flows — 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.

No parameters.

burn_tracker

Token burn tracker — 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.

No parameters.

sentiment_history

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.

funding_rates_history

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.

whale_daily_summary

Whale movements daily summary (DB-backed) — Returns daily aggregated whale movement counts over the last N days (default 30, max 180). Each row covers one UTC day and includes: total_moves (total whale signals recorded), total_usd_value (estimated USD volume from on-chain whale transactions), inflow_count (accumulation / buy-side moves), outflow_count (distribution / sell-side moves), and chains_breakdown (object mapping each chain to its move count for that day). Data is written once per 5-minute cron cycle via an upsert, so today's row is always current. Rows older than 365 days are automatically purged. Use ?days=30 to control the look-back window (1–180). Cached 5min. Answers questions like: 'How many whale moves happened in June?' or 'Which network was most active this week?'

stablecoin_history

Stablecoin flow history (daily snapshots) — 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.

social_summary

Social sentiment summary — 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.

No parameters.

whale_activity

Historical whale activity (aggregated) — Aggregated, bounded time-series of recorded whale movements across all 14 supported chains, sourced from our internal signal-history archive. Returns honest movement COUNTS grouped by chain, by money-flow direction (inflow/outflow/transfer/unknown), and by day over a recent window — no per-transaction detail, wallet addresses or explorer links (those stay subscriber-gated at /api/whale-history). Use ?window=N to set the look-back in days (1–30, default 7). Counts only; no USD volume is reported because the archive carries no structured per-move USD figure. Served from cache (no per-request cost). Cached ~5min.

analysts

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

analysts_signals

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 5 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), created

analysts_signals_all

All analysts' signal history in one request (public, free-tier, MCP-compatible) — Returns the last 7 days of signals for all 5 analysts grouped by analystId in a single response — ideal for AI agents that need a cross-analyst comparison without 5 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.

No parameters.

analysts_top

Top-performing analyst — 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 5 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.

No parameters.

analyst_archive

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). Filters: period (7d | 30d | 90d | 365d, default 90d), outcome (all | win | loss | neutral | pending, default all), page (1-indexed, default 1), limit (10–100, default 100). Response: { signals[], total, pages, page, tier, analystId, updatedAt }. Each signal: id (number), tokens (string[]), typeLabel, outcome ('win'|'loss'|'neutral'|null), returnPct (null if pending), createdAt (ISO-8601), analystId. No authentic

whale_movements

Public whale movements archive — paginated 1-year history (no auth, MCP-compatible) — Returns a paginated archive of large whale on-chain movements recorded in the CryptoWhaleInsights signal-history database, covering up to 1 year (365 days). This is the public, unauthenticated counterpart to the authenticated /api/whale-history endpoint: it omits the explorerUrl field (Pro-only). AI agents can use this to analyse historical on-chain flow direction (inflow/outflow/transfer) across 14 chains without any credentials. Supported chains (chain filter values): BTC, ETH, SOL, BSC, BASE, ARB, POLYGON, TON, SUI, HYPE, TRX, SEI, INJ, APT. Supported directions (direction filter values): inflow, outflow, transfer. Keyword search: use ?q= to filter by token name, signal summary, or wallet label (case-insensitive, max 100 chars). Example: ?q=USDT returns only moves mentioning USDT; ?q=ETH+Whale+%237 returns moves by that wallet label. Pagination: page (1-indexed, default 1), pageSize fixed at 20. period filter: 7d | 30d |

feed_archive

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

reports_index

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.

No parameters.

golden_alerts_snapshot

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

No parameters.

analyst_monthly_performance

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?'

No parameters.

golden_alerts_history

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_monthly

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.

No parameters.

whale_monthly_archive

Whale movements permanent monthly archive — Returns the permanent monthly archive of whale movement activity — one row per calendar month, aggregated from daily whale summaries before they are purged. This archive is never deleted and grows indefinitely, enabling AI agents to answer historical questions like 'in which month were whale movements highest?' across years of data. Each month includes: totalMoves (total whale signals), totalUsdValue (cumulative USD value), inflowCount/outflowCount (directional breakdown), daysInMonth, avgMovesPerDay. Months with fewer than 20 daily records are excluded. Data source: CryptoWhaleInsights own signal_history database (80+ wallets, 14 chains). No authentication required. 60 req/min. 5-min cache.

No parameters.

fear_greed_monthly

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.

No parameters.

sentiment_monthly

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.

stablecoin_monthly

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.

No parameters.

funding_rate_monthly

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.

signal_history_monthly

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.

arbitrage_history

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.

fear_greed_history

Fear & Greed index history — 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.