Back to search
100
MCP v1.0.0 MCP 2025-11-25 streamable-http

Boolsai Signals

ai.boolsai/signals

Quant-research MCP — tradeable signals from public-company website stack changes. 7 tools.

Uptime
60.0%
5 direct probes · 30d
Response
94ms
last probe
Tools
12
callable
Resources
0
readable
Prompts
0
available
Primary URL
https://signals.boolsai.ai/mcp
Score: 100/100
Handshake verified by our own probe.
why this score
The latest probe failed: Our safety guard refused the URL (a private address or a redirect off the public internet). The server was up for 60% of its last 30 days, so this counts as a blip and the score holds; it drops once uptime falls below 50%.
pass Answers the MCP handshake 50/50
Handshake verified earlier; the latest probe failed (see the note above).
pass Lists tools, resources or prompts 30/30
12 tools, 0 resources, 0 prompts returned.
pass 3 or more catalogue items 10/10
12 items in total; 3 or more earns these points.
pass Describes itself 10/10
90 characters; more than 30 earns these points.

Tools · 12

universe_summary

Orient the agent: total events, tickers, date range, top event types, top detectors, price coverage, SPY benchmark status. Call this FIRST when starting research. Returns counts that let the agent rea…

find_signals

Automated pattern discovery — scans event_type × detector × diff_field × severity combinations and returns those with the strongest forward-return characteristics (α vs SPY, % positive, n). Use this w…

test_filter

Compute α stats for an arbitrary filter expression. Use this to test a specific hypothesis (e.g. 'tier_count_changed on enterprise-SaaS tickers' or 'severity 5 events that happened on Mondays'). Retur…

recent_events

Live signal feed: events fired in the last N days (default 7). Returns each event with the predicted α range based on its event type's historical performance. Use this to surface 'what should I be loo…

event_dossier

Deep dive on a single event: full diff (added/removed values), surrounding price action (-3D to +14D), predicted vs actual α, links to wayback comparison. Use this to investigate a specific event flag…

scan_at_date

Scan a URL as it appeared on a historical date via the Wayback Machine. Uses intel.boolsai.ai against the wayback-wrapped URL. Returns the same JSON shape as Boolsai Scan but for a historical snapshot…

ticker_history

All events fired on a single ticker, plus price action timeline. Use this to investigate one company's pattern (e.g. 'show me everything we caught on NFLX').

wayback_backtest

Run an SPY-benchmarked backtest on the WAYBACK historical event dataset (2+ years, 13K events) instead of the recent live event dataset (2 months, 1.7K events). Much bigger samples for statistical con…

domain_timeline

Week-by-week wayback diff timeline for one domain. Returns every detected stack change (additions / removals) with week date. Use this to see when a vendor was added/removed historically, e.g. 'when d…

signal_landscape

ONE-SHOT cross-signal sweep. Computes α-vs-SPY stats simultaneously across event_type, detector, diff_field, severity, AND co_occurrence dimensions — returns the full landscape in a single response. U…

signal_diff

Compare two signal patterns side-by-side. e.g. 'how does PRICING_TIERS_ADDED compare to VENDORS_DETECTED_CHANGED on the live dataset?' Returns α, %pos, sample size, worst/best trades for each, plus de…

farm_domain

Bulk-farm a domain's historical wayback snapshots into our index. Use this when you need backtest history on a domain we haven't already farmed (i.e. wayback_backtest / domain_timeline return no data …

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "boolsai_signals": {
      "url": "https://signals.boolsai.ai/mcp",
      "transport": "streamable-http"
    }
  }
}