MiroFish vs Stacktrace
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
MiroFish compared with Stacktrace
| Detail | M
MiroFish | 
Stacktrace |
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| What it does | A simple and universal swarm intelligence engine
| Real-time steering and guardrails for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Starter: $7.50/month (monthly) or $9/month (annual); Pro: $15.83/month (monthly) or $19/month (annual); Premium: $40.83/month (monthly) or $49/month (annual). Annual plans save 17%.
| Team: Free per organization, unlimited users, 200 session-hours per month. Enterprise and Gateway: Custom pricing, billed annually.
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| Key features | - Upload PDF, Markdown, and text documents to seed simulations
- Convert source material into ontology and graph structure
- Run parallel simulations with up to 1 million agents per run
- Generate prediction reports with key risks and confidence signals
- Deep interaction through ReportAgent or direct character interviews
- Dual-surface simulation across Twitter and Reddit style channels
- Follow-up questions in the same workspace for continued analysis
- Build executable scenarios for public opinion, market, policy, and narrative use cases
| - Reads every tool call agents make and blocks unsafe ones before they run
- Catches stalled and runaway sessions while they run
- Steers agents back when they go past what was asked
- Tracks every session's tokens against usual usage
- Stops credential and data leaks before they leave the machine
- Inventories all agents, MCP servers and skills in use
- Blocks dangerous calls before they run in agent hooks and at the gateway
- Sends every finding to Slack, webhook or SIEM
- Verifies each agent's identity before access
- Keeps audit-grade masked records of every action and decision
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| What makes it different | - Inspectable AI forecasts treated as exploratory hypotheses before operational decisions
- Review simulations before upload with the Forecast Explorer gallery
- Graph-native simulation that exposes actor incentives, narrative spread, and reaction chains
- Templates and guides for recurring scenario types like crises and product launches
- Keeps judgment with humans on scenario boundaries and high-stakes operating calls
| - Works with Claude Code, Codex, Cursor, Devin and more
- Runs on your machines, gateways and in the cloud
- Active steering corrects or stops drifting runs
- One policy applied across all MCP servers, plugins and skills
- Continuously monitors components for known vulnerabilities
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 56 ● no change since last check | 3 ▲ +2 (up) since last check |
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| Trust Flow (Majestic) | 5 | 13 |
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| Citation Flow (Majestic) | 30 | 25 |
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| Referring domains (Majestic) | 160 | 23 |
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5 details filled in for both companies.
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