MiroFish vs Agentboxd

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 Agentboxd
Detail	MiroFish	Agentboxd
What it does	A simple and universal swarm intelligence engine	Real email inboxes for AI agents with API, webhooks, and AI triage
Stage	Not given	MVP
Founded	Not given	Not given
Based in	Not given	GB
Pricing model	Freemium	Free
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%.	Free during public beta. Planned after beta: Builder $15/month, Team $60/month, Scale custom. Builder includes 25,000 emails/month, 100 inboxes, 25,000 AI triage calls/month. Team includes 150,000 emails/month, 1,000 inboxes, 150,000 AI triage calls/month. Overage pricing: $1 per 1,000 emails, $0.50
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	AI triage on every email with category, phishing, injection, and urgency scoring Inboxes with one API call on shared or custom domains Drafts with human approval before sending DKIM-signed sending with threaded replies Webhooks with HMAC-SHA256 signature verification Full-text search and long-poll wait endpoints Text extraction from attachments including OCR Sign in with Agentboxd for AI agent authentication
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	AI processing is optional with privacy switch
Community votes	0	0
DR (Domain Rating by Ahrefs)	56 no change since last check	21 +4 (up) since last check
Trust Flow (Majestic)	5	5
Citation Flow (Majestic)	30	31
Referring domains (Majestic)	160	55

5 details filled in for both companies.

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