io.github.mypocketsmells/insider-radar

Est-ce que io.github.mypocketsmells/insider-radar est sûr ?

Au dernier audit MCP Hub, le serveur MCP « io.github.mypocketsmells/insider-radar » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.

Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.

Les 27 outils

• alerts≈ 125 tokens

  Recent lab alerts (drawdowns, retirements, anomalies). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "alerts", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• alpha_track≈ 155 tokens

  Daily equity/PnL histories for the lab's edge-protected bots under stable anonymous handles — real performance, withheld identities; track any handle across snapshots. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "alpha_track", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• arena≈ 61 tokens

  Fleet-wide arena summary of the paper-trading lab (bot counts, venues, aggregate equity). Free teaser.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "arena", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• calibration≈ 129 tokens

  Forecast calibration by venue/category — predicted vs realized. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "calibration", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• congress_tape≈ 135 tokens

  Parsed House/Senate PTR trades: member, ticker, type, amounts, filing lag (last 1000). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "congress_tape", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• creators≈ 149 tokens

  Pump.fun deployer index built forward by our launch listener: 900+ creator wallets with launch histories, venue-aware rug counts, first/last seen. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "creators", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• crowding≈ 130 tokens

  Exposure crowding: where the fleet's directional risk is concentrated. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "crowding", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• divergences≈ 130 tokens

  Cross-venue probability divergences (e.g. Kalshi vs Polymarket gaps). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "divergences", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• fleet_ledger≈ 146 tokens

  Fleet-wide daily P&L ledger: totals, venue splits, per-day rows, tape reconciliation — the transparency companion to alpha_track. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "fleet_ledger", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• insider_plans≈ 142 tokens

  10b5-1 plan detection per insider filing — was the buy pre-scheduled? Per-accession tags plus aggregate plan rates. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "insider_plans", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• insider_tape≈ 141 tokens

  Parsed SEC Form-4 insider buys, newest first: roles, titles, shares, price, value, disclosure lag (last 1000). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "insider_tape", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• kol_events≈ 140 tokens

  Narrated detector event stream: meta-signals, distribution flips, known-rugger callouts (last 2000 events). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "kol_events", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• kol_froth≈ 142 tokens

  Memecoin froth gauge, current level plus full history: human buys/hour, danger share, distribution events, percentile. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "kol_froth", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• kol_outcomes≈ 151 tokens

  Forward-marked signal outcomes WITH a matched control arm: rug rates, checkpoint returns (15m/1h/6h/24h) by risk level and confluence — honesty-graded. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "kol_outcomes", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• kol_signals_delayed≈ 142 tokens

  Same KOL confluence feed as kol_signals_live with every row at least 45 minutes old — the evaluation tier. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "kol_signals_delayed", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• kol_signals_live≈ 148 tokens

  Live KOL confluence buy/exit signals (≤15 min old): distinct human buyers, strength, rug-risk callouts, momentum — the actionable tier. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "kol_signals_live", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• kol_stats≈ 146 tokens

  Per-wallet outcome statistics for ~300 tracked memecoin KOL wallets — our computed win rates and PnL distributions over observed trades. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "kol_stats", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• leaderboard≈ 130 tokens

  Ranked bot leaderboard with eff_n and the luck-ceiling honesty note. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "leaderboard", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• optimizer≈ 124 tokens

  Optimizer status and recent parameter decisions. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "optimizer", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• radar_status≈ 64 tokens

  Service status: snapshot freshness, product catalog with per-call prices, and the honesty disclaimer. Free.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "radar_status", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• research_pack≈ 156 tokens

  Seven research panels in one call: family correlation + effective-n, edge calibration, insider event study, regime joins, econ calendar, weekly digest, daily alpha cards. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "research_pack", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• signals≈ 126 tokens

  Current signal feed headlines from the lab's signal bus. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "signals", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• smart_holdings≈ 139 tokens

  13F institutional holdings rollup: top-held names, filer roster, per-ticker holder counts (top 300). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "smart_holdings", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• snipe_outcomes≈ 143 tokens

  Launch-snipe paper ledger with a randomized control arm: detect latency, entry efficiency, checkpoint marks per snipe. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "snipe_outcomes", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• sol_depth≈ 151 tokens

  Recorded Kalshi SOL-market L2 depth (top-5 levels per side), previous-day and older only (T+1) — we recorded it live; Kalshi publishes no historical depth. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "sol_depth", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• solscout_verdicts≈ 147 tokens

  Copy-gradeability verdicts for Solana memecoin wallets: composite scores, consistency, retirement calls (candidate lists withheld). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "solscout_verdicts", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• wire_clusters≈ 146 tokens

  Cross-source evidence clusters joining price anomalies to specific SEC filings (Form 4 accessions, URLs) — graded, windowed, cited. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "wire_clusters", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

C'est votre serveur ?

Revendiquez-le sur l'espace créateur (preuve GitHub, domaine ou npm) pour afficher le badge « propriétaire vérifié » et lancer un pentest comportemental à la demande afin d'obtenir le badge « Vérifié ».

Créer un compte / revendiquer →

Source

https://insider-radar-agent.insider-radar-agent.workers.dev/mcp