MCP server that gives coding agents typed 0xArchive market data tools across Hyperliquid (perps, HIP-3, HIP-4, spot) and Lighter.xyz
Free
Tools
platform_stats
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).
ArgumentsA call is made on an account: it counts against an allowance and the publisher sees it, which is why this one asks who you are first.
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p95 latency
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call success
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uptime 90d
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calls last 7d
What it does
Free read-only crypto whale-tracking & market-data MCP tools across 14 chains. No auth.
Quickstart
# 1 — install (mcprush login holds a key from your dashboard)
npx mcprush@latest add whale-insights-mcp
# 2 — ask your agent something
> Free read-only crypto whale-tracking & market-data MCP tools across 14 chains. No auth.
Whale Insights is free: there is no plan to choose, no cap to set and nothing that can bill you.
Publishernot claimed
CRAll 1 server
cryptowhaleinsights.com1 server
1 category
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine — this server runs on the publisher’s own infrastructure behind our gateway, and what you install is the connection to it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. Claude Code registers it in one command.
claude mcp add --transport http whale-insights-mcp https://cryptowhaleinsights.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free to install, and it runs from its publisher’s own package: no account, no key, no card.
What it writes
One config entry pointing at the gateway. The server itself runs on the publisher’s own infrastructure, so nothing from this listing executes on your machine.
What you approve
56 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
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).
Takes no parameters.
Example callreturns →
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 verif
Takes no parameters.
Example callreturns →
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).
Takes no parameters.
Example callreturns →
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;
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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).
Takes no parameters.
Example callreturns →
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/publ
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
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 co
Takes no parameters.
Example callreturns →
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 a
Takes no parameters.
Example callreturns →
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-exchang
Takes no parameters.
Example callreturns →
Get daily whale movement counts from the DB — per-chain inflow/outflow totals over N days (use for trend analysis, not individual transfers) — 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_
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
Get whale activity aggregated by chain and direction — movement COUNTS by day over 1-30 days (not individual transfers; use whale_movements for individual records with amounts) — 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 (inflo
Takes no parameters.
Example callreturns →
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), UnlockG
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
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, e
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
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 &
Takes no parameters.
Example callreturns →
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 us
Takes no parameters.
Example callreturns →
Whale movements summary — aggregated stats rollup (no auth, MCP-compatible) — Returns an aggregated statistics rollup of whale on-chain movements over a period, so AI agents don't have to page through raw /api/public/whale-movements rows to compute totals themselves. Breaks down movement counts and REAL USD totals (from the same usd_value column as /api/public/whale-movements) by chain and by flow
Takes no parameters.
Example callreturns →
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-gene
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
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 cac
Takes no parameters.
Example callreturns →
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,
Takes no parameters.
Example callreturns →
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 si
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
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:
Takes no parameters.
Example callreturns →
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 Fe
Takes no parameters.
Example callreturns →
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 wi
Takes no parameters.
Example callreturns →
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,
Takes no parameters.
Example callreturns →
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 av
Takes no parameters.
Example callreturns →
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, narrat
Takes no parameters.
Example callreturns →
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 (ChainHaw
Takes no parameters.
Example callreturns →
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 ap
Takes no parameters.
Example callreturns →
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 end
Takes no parameters.
Example callreturns →
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 shortSumma
Takes no parameters.
Example callreturns →
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 dail
Takes no parameters.
Example callreturns →
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 arbi
Takes no parameters.
Example callreturns →
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 &
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
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 mar
Takes no parameters.
Example callreturns →
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-
Takes no parameters.
Example callreturns →
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 cach
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
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
Takes no parameters.
Example callreturns →
Get daily whale score history — top tracked whale wallets ranked by composite score (win rate + avg return) over up to 90 days — Daily historical composite scores for tracked whale wallets. One row per wallet per day: wallet address, chain, label, composite score (0-100), win rate, average return %, and sample count. Only wallets with ≥5 resolved signals receive a score (honest, never fabricated).
Takes no parameters.
Example callreturns →
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.
Takes no parameters.
Example callreturns →
Freeyour plan
$0 forever
- Every tool, no call limit
- No card, no account needed
- Source published under a licence you can read
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because nothing bills
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable. Whale Insights costs nothing to install and nothing to call, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: $8.42
$16.58 left
—Grade not published
No rule-by-rule report on file for this release
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is a hosted endpoint: the publisher runs it and we connect to it. The scanner reads packages and source, and neither exists to read here, so there is no grade — not a withheld one, an unmeasured one. What can be checked instead is on Installation: what it asks to reach and what it writes.
Release history
Pinned to 1.0.0 — the install command below asks for that release. A pin is part of an install, so it is kept for this visit and written down when you install.
1.0.0
undated
installedNo release note was published with this version.
—
no reviews yet
Reviews are earned
Only accounts with at least 50 real tool calls against this server in the last 90 days can post. Ratings are weighted by how much the reviewer actually uses it, and publishers can reply once per review.
Reviews are earned
Writing one takes an account with at least 50 real tool calls against Whale Insights in the last 90 days. That is the whole gate — there is no other way to post, which is why the counts beside each review are worth reading.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes an account with 50 real tool calls against it.