MCP Radar
MCP-Server

Insider Radar

io.github.mypocketsmells/insider-radar
Daten & Analytik Finanzen & Investieren Öffentlich und erreichbar MCP 2025-11-25

Was dieses MCP kann

Provides research telemetry on paper-trading bots, insider transactions, KOL and memecoin signals, prediction-market divergences, institutional holdings, and performance outcomes.

Funktionen

Tools

27 Tools
alerts
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
alpha_track
Daily equity/PnL histories for the lab's edge-protected bots under stable anonymous handles — real performance, withheld identities; track any handle across snapshots. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
arena
Fleet-wide arena summary of the paper-trading lab (bot counts, venues, aggregate equity). Free teaser.
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
calibration
Forecast calibration by venue/category — predicted vs realized. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
congress_tape
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
creators
Pump.fun deployer index built forward by our launch listener: 900+ creator wallets with launch histories, venue-aware rug counts, first/last seen. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
crowding
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
divergences
Cross-venue probability divergences (e.g. Kalshi vs Polymarket gaps). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
fleet_ledger
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
insider_plans
10b5-1 plan detection per insider filing — was the buy pre-scheduled? Per-accession tags plus aggregate plan rates. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
insider_tape
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
kol_events
Narrated detector event stream: meta-signals, distribution flips, known-rugger callouts (last 2000 events). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
kol_froth
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
kol_outcomes
Forward-marked signal outcomes WITH a matched control arm: rug rates, checkpoint returns (15m/1h/6h/24h) by risk level and confluence — honesty-graded. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
kol_signals_delayed
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
kol_signals_live
Live KOL confluence buy/exit signals (≤15 min old): distinct human buyers, strength, rug-risk callouts, momentum — the actionable tier. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
kol_stats
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
leaderboard
Ranked bot leaderboard with eff_n and the luck-ceiling honesty note. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
optimizer
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
radar_status
Service status: snapshot freshness, product catalog with per-call prices, and the honesty disclaimer. Free.
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
research_pack
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
signals
Current signal feed headlines from the lab's signal bus. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
smart_holdings
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
snipe_outcomes
Launch-snipe paper ledger with a randomized control arm: detect latency, entry efficiency, checkpoint marks per snipe. Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
sol_depth
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
solscout_verdicts
Copy-gradeability verdicts for Solana memecoin wallets: composite scores, consistency, retirement calls (candidate lists withheld). Paper-trading lab telemetry; All figures are simulated paper dollars from a research lab — not investment advice, not live trading, no real positions. Ranked returns are dominated by luck until effective bet counts (eff_n), calibration and crowding say otherwise.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
wire_clusters
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.
Nur Lesen
Eingabeschema 
{'type': 'object', '$schema': 'http://json-schema.org/draft-07/schema#', 'properties': {}}
Verlauf

Letzte Tool-Änderungen

Hinzugefügt
congress_tape
17. September 2026 12:45
Hinzugefügt
insider_tape
17. September 2026 12:45
Hinzugefügt
smart_holdings
17. September 2026 12:45
Hinzugefügt
kol_froth
17. September 2026 12:45
Hinzugefügt
kol_signals_delayed
17. September 2026 12:45
Hinzugefügt
fleet_ledger
17. September 2026 12:45
Hinzugefügt
kol_events
17. September 2026 12:45
Hinzugefügt
research_pack
17. September 2026 12:45
Hinzugefügt
insider_plans
17. September 2026 12:45
Hinzugefügt
solscout_verdicts
17. September 2026 12:45
Hinzugefügt
wire_clusters
17. September 2026 12:45
Hinzugefügt
snipe_outcomes
17. September 2026 12:45
Hinzugefügt
kol_outcomes
17. September 2026 12:45
Hinzugefügt
kol_signals_live
17. September 2026 12:45
Hinzugefügt
sol_depth
17. September 2026 12:45
Hinzugefügt
alpha_track
17. September 2026 12:45
Hinzugefügt
kol_stats
17. September 2026 12:45
Hinzugefügt
creators
17. September 2026 12:45
Hinzugefügt
optimizer
17. September 2026 12:45
Hinzugefügt
crowding
17. September 2026 12:45
Hinzugefügt
divergences
17. September 2026 12:45
Hinzugefügt
calibration
17. September 2026 12:45
Hinzugefügt
alerts
17. September 2026 12:45
Hinzugefügt
signals
17. September 2026 12:45
Hinzugefügt
leaderboard
17. September 2026 12:45
Hinzugefügt
arena
17. September 2026 12:45
Hinzugefügt
radar_status
17. September 2026 12:45
Entdecken

Ähnliche MCP-Server

AlpineDataWorks Intelligence Server

com.alpinedataworks/adw-intelligence-server

Provides economic, market, supply-chain, real-estate, energy, consumer, labor, and other scored intelligence indices with histori…

Stratalize Finance

com.stratalize/finance

Provides financial, macroeconomic, banking, credit, commodities, M&A, ESG, labor, and regulatory benchmarks for analysis and plan…

Valuein — SEC EDGAR Fundamentals & Smart-Money Data

io.github.valuein/mcp-sec-edgar

Provides point-in-time SEC EDGAR fundamentals, filings, ownership signals, financial analysis, valuation models, research reports…

equibles

io.github.daniel3303/equibles

Provides equity and market research tools covering SEC filings, company financials, portfolios, prices, options, macroeconomic da…

DFX Real Estate Intelligence

io.github.Capital-W-Holdings/us-property-parcel-real-estate-debt

Provides US commercial real estate, parcel, debt maturity, bank CRE exposure, private capital, investor, ownership, occupancy, an…

simplefunctions

io.github.spfunctions/simplefunctions

Provides prediction-market data, thesis analysis, market signals, portfolio tracking, and automated intent-based trading workflow…

EventTrader MCP

com.cymetica/event-trader-mcp

Provides prediction-market research and trading capabilities, including real-time event-market data, CLOB execution paths, fund i…

Signal8

ai.signal8/mcp

Provides SEC filings, dilution data, insider and institutional ownership, and political-trade data.