Two leading ai engineering tools, scored head to head so you can see which one wins on the metrics that matter to you.
Let your AI agent get the sources behind logins and paywalls
Actionbook enables your AI agent to access and utilize information from sources that are typically behind logins and paywalls.
The AI dev tools you keep Googling for.
HandyAI is a growing library of single-purpose, free tools for people building with large language models.
Actionbook leads 3 of 4 rounds
Actionbook leads on domain rating, feature coverage and integrations.
The details
Actionbook
HandyAI
What is Actionbook?
Actionbook is an AI Marketing tool that enables your AI agent to access and utilize information from sources that are typically behind logins and paywalls.
Who is Actionbook for?
Actionbook is designed for professionals who need to validate ideas, research prospects, and find potential buyers. It is particularly useful for sales teams and marketers looking to enhance their outreach efforts.
What can I do with Actionbook?
With Actionbook, you can perform up to 750 browser operations per month, create multi-step actions for complex workflows, and connect your existing AI agents like ChatGPT and Claude to automate tasks.
How much does Actionbook cost?
Actionbook offers a freemium pricing model. The Free plan allows for 100 actions every month, while the Professional plan provides 750 actions per month. Enterprise pricing is custom based on user needs.
How is Actionbook different from alternatives?
Actionbook stands out in the AI Marketing category by enabling access to content behind logins and paywalls, which many alternatives do not address. It integrates with existing AI agents, enhancing their capabilities.
How is the token count calculated?
For OpenAI models we run the official BPE tokenizer (`cl100k_base` for GPT-3.5/4, `o200k_base` for GPT-4o) via js-tiktoken — same exact algorithm OpenAI uses. For Claude we use Anthropic's published Claude 2 tokenizer, which matches Claude 3+ within ~5% for English text. For Gemini we approximate at ~4 chars/token because no public Gemini tokenizer exists.
Does my text leave the browser?
No. All tokenization is client-side. Nothing is sent to any server — not ours, not OpenAI's, not Anthropic's. Open your network tab and verify if you like.
Why are input and output prices different?
Providers charge more for tokens the model _generates_ than for tokens you _supply_. Output tokens are computationally more expensive because the model decodes them autoregressively. The toggle above lets you project either side of the cost.
How much does 1M tokens cost in May 2026?
Roughly: **Claude 3.5 Sonnet** is $3 in / $15 out per 1M tokens. **GPT-4o** is $2.50 / $10. **Claude Haiku** is $0.25 / $1.25. **GPT-4o-mini** is $0.15 / $0.60. **Gemini 1.5 Flash** is $0.075 / $0.30. The cheap models are 20-100x cheaper than the flagship models — a big lever for high-volume apps.
How accurate are these cost projections?
Exact for a known workload — the math is straightforward: (input × input rate) + (output × output rate), with the cached fraction billed at the model's cached-input rate. Pricing comes from each provider's published rate card. The variable is how well your typed numbers match your actual workload. If you don't know your token sizes, the [Token Counter](https://handyai.tools/tools/token-counter/) helps you calibrate against a real sample.
Stronger on domain rating, feature coverage and integrations.
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