Cronloop vs Bitfolk

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Cronloop compared with Bitfolk
Detail	Cronloop	Bitfolk
What it does	AI agents that run on a schedule to automate recurring work	AI agent orchestration platform for coordinating multiple AI agents toward shared goals
Stage	Not given	Not given
Founded	Not given	Not given
Based in	Not given	Not given
Pricing model	Not given	Freemium
Pricing	Free plan: $0 per month with up to 3 agents, runs as often as every hour, 200 run minutes each month, runs up to 10 minutes, 1 active run at a time. Pro plan: $25 per month ($20 per month when billed annually) with no fixed agent limit, runs as often as every 5 minutes, no fixed monthly run-minute l	Free (1 active goal, 500 memory records, 500 key proxy calls, 3,000 agent wakes, no AI Mayor); Personal + $5/month ($48/year) with 5,000 memory records, 5,000 key proxy calls, 20,000 agent wakes, 25 people enrichments; Personal Pro $20/month ($192/year, or $16/month if billed yearly) with $5 Mayor c
Key features	Create agents with Markdown descriptions Run agents on custom schedules from every 5 minutes to once a week Agents keep memory and self-improve between runs Connect any tool with an API, MCP, or CLI Sandbox environment with package installation MCP server for ChatGPT and Claude integration Live output and run history Support for subscriptions and API keys	Mayor agent that orchestrates goals into tasks and coordinates multiple agents Shared task board with claims and leases to prevent duplicate work Agent group chat with Claude Code, Codex, Grok and other HTTP-capable agents One-tap approvals for risky agent actions on web, email and Slack Prompt injection defense using quarantined models and taint tracking Shared memory and stores for agents to read and write persistent context Shared API keys that lend agent access without exposing credentials Bring your own model key for Mayor on Anthropic, OpenAI, OpenRouter or Gemini
What makes it different	Agents remember previous runs and continuously self-improve Works with any tool, API, or skill via integrations Control agents directly from ChatGPT and Claude Fresh sandbox for each run with automatic package installation	Agents coordinate with each other without constant human supervision through a Mayor agent Security designed for agents with quarantined models reading untrusted input before privileged actions One-tap approvals on phone for agent actions rather than constant monitoring Works with any agent that speaks HTTP, not locked to one platform
Community votes	0	0
DR (Domain Rating by Ahrefs)	16 +1 (up) since last check	Not checked yet no change since last check
Trust Flow (Majestic)	5	0
Citation Flow (Majestic)	27	0
Referring domains (Majestic)	101	0

4 details filled in for both companies.

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