AGENT SWARM

100 AI Analysts Vote on Every Trade — You Get One Conviction Score

Kabra's Agent Swarm runs a hundred independent AI agents across seven tiers of expertise on every ticker you query, then returns a single BUY, SELL, or HOLD verdict with a confidence percentage attached.

01

Consensus Over Single-Model Risk

One model can be confidently wrong. A hundred voting agents surface agreement and disagreement, so you know exactly how contested an idea is before you commit capital.

02

Seven Tiers of Agent Expertise

Generalist agents check the base case. Specialist tiers weigh options flow, momentum, sector rotation, fundamentals, and macro in parallel — every vote reflects a different lens.

03

Confidence-Scored Outputs

Every Swarm run returns not just a direction but a confidence percentage, so you can size positions proportionally to conviction rather than flat-weighting every signal.

04

Traceable Reasoning

Each agent reports its reasoning. Expand any vote to see exactly why it landed on BUY, SELL, or HOLD — no opaque scores, no black-box outputs.

05

Fast Parallel Execution

The full swarm returns a verdict in under a minute. Agent Swarm works on your trade-timing horizon, not an equity-research horizon.

06

Watchlist Idea Generation

Run the swarm across an entire watchlist to surface the highest-conviction setups of the day without manually reviewing every name.

How it works

01

Enter a ticker — or paste a watchlist of names you're evaluating.

02

Kabra dispatches 100 agents across 7 tiers; each runs an independent analysis in parallel.

03

Votes are aggregated into a single BUY / SELL / HOLD verdict with a confidence score.

04

Expand any agent to audit its reasoning before you act on the signal.

Frequently asked questions

What does a 100-agent swarm actually do?+
When you query a ticker, Kabra dispatches 100 independent AI agents across seven tiers of expertise. Each agent analyzes the trade from a different angle — fundamentals, options flow, momentum, sector rotation, macro, and more — and casts a BUY, SELL, or HOLD vote. The final output is a single consensus direction plus a confidence percentage reflecting how tightly the agents agreed.
How is this different from a single AI analysis?+
A single model can be confidently wrong. Running 100 agents in parallel surfaces disagreement: a 92% conviction BUY means the swarm is nearly unanimous; a 54% BUY means the trade is contested. That spread is the signal — not just the direction.
What does the confidence score mean in practice?+
Confidence is the proportion of agents voting for the winning direction. Traders use it to size positions proportionally to conviction — larger size on high-confidence setups, smaller on contested ones.
Can I see why each agent voted the way it did?+
Yes. Every swarm run is traceable. Expand any individual agent to see its reasoning — the factors it weighted, the data it cited, and why it landed where it did. Nothing is black-box.
Which plan tier unlocks Agent Swarm?+
Agent Swarm is available on Kabra Pro and above. See the pricing page for the full tier breakdown.
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