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Startup Intelligence
Markets
  • Signal Feed
  • Startups
  • Categories
  • Founders
  • Revenue
  • Beyond the launch
Intelligence
  • Content Desk
  • Editorial QA
  • Ask Market
  • Signature Index
  • Trends
Lab
  • Metric Bench
  • Tagline Lab
  • Smart Search
Yours
  • Watchlist
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7,642 products · 36,306 snapshots
HaltState MCP

HaltState MCP

Notable signal

Investigate AI agent activity from your MCP client

Launched 8h ago
Signal
46
Velocity
0

What this means

16Founder Conviction Index: 16 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
12%
today
Projected end-of-day votes
25range 19–34
Trajectory
stable
Not enough snapshots yet to detect trajectory.

About

Ask what your AI agents did, find a customer interaction, follow its timeline and verify linked Proof Packs from your MCP client. Ten investigation tools bring activity search, evidence verification and exports into your existing workflow. Connect agents with Python, TypeScript/JavaScript, Go, Java or Rust; enforce policies before connected actions execute. Self-service signup and AI-assisted policy setup help you start with one action.

AI Summary

HaltState MCP enables users to investigate AI agent activities through a client interface, offering tools for activity search, evidence verification, and integration into existing workflows. It supports multiple programming languages for agent connection and includes features for policy enforcement and self-service setup.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement24
Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

ThinLittle evidence and no strong angle. Nothing to build on yet.
125/8
Timeliness5%100
carried 7%
Novelty15%49
carried 20%
Trend20%36
carried 27%
Business15%8
carried 20%
Story20%0
carried 27%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured
Full audit →

Signal sources

3 of 6 active
  • Launch tracking2 readings since we picked it up
  • AI analysisAI Agents
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring13% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Erik Pizzorni
@erik_z
rep 19
Erik Pizzorni
@erik_z · hunter

Topics

Developer ToolsArtificial IntelligenceSecurity