Pricing & Credits FAQs

Yes, as of June 2025, you need either an active subscription or sufficient credit balance to keep your agents running.

Subscription requirements

If you currently have a subscription:

• Your agents will continue running as long as you have credits
• You'll need to purchase additional credits when your balance runs low
• Your subscription gives you access to buy credits and keep agents active

If you don't have a subscription:

• You'll need to choose a subscription plan to continue using agents
• Without a subscription, agents will pause when credits are depleted
• You can select a plan that fits your usage needs and budget

Choosing the right plan

• Evaluate your usage: Consider how many agents you run and how frequently
• Review plan options: Check the available subscription tiers at app.abundly.ai/signup
• Start appropriately: You can always upgrade or downgrade as your needs change

What happens without a subscription

• Agents pause automatically when credits run out
• No data loss - all your work is preserved
• Easy reactivation - choose a plan and agents resume immediately

Need help choosing?

If you're unsure which subscription plan is right for you, or have questions about credit usage, contact our team at support@abundly.ai. We're happy to help you find the best fit for your needs.

There are several levers that affect how much it costs to run your AI agent. Here's what you can control:

1. Frequency of Use

How often your agent runs is a major factor. Triggering it every few minutes versus once an hour can lead to a substantial difference in monthly cost.

2. Size of the Context

Feeding the agent too much data — especially unnecessary context — quickly adds up. Trimming the context to only include what's essential is one of the most effective ways to cut costs without sacrificing quality.

3. Where You Store Data

This is an often-overlooked but powerful design choice. If you embed data directly into the agent's instructions, that data is included in every single run — even when it's not needed. By contrast, if you store supporting information in documents or tools that the agent can selectively retrieve, that data is only included when relevant. This can dramatically reduce the tokens used and save credit over time.

4. Complexity of Instructions

Recursive or multi-step instructions — where the agent performs several tasks or calls itself — can drive up usage significantly. Simplifying the agent's logic and reducing unnecessary loops can help manage costs effectively.

5. Language Model Selection

Currently, we use Claude 4 as our default model because we've found it provides the best balance of performance versus cost and is the easiest to get agents working reliably with. However, model choice can significantly impact costs.

Current Approach

We prioritize getting agents to work effectively first, then optimize costs later.

Future Options

We're exploring the possibility for users to choose different models based on their needs:

• Cheaper models for simpler tasks
• More expensive models for complex requirements
• Alternative models based on specific use cases

Cost Optimization Support

We're happy to help with cost optimization on a case-by-case basis, but haven't yet enabled universal model selection for all users.

Your Feedback is Welcome

This is an evolving area - let us know your thoughts and requirements around model selection and cost optimization.

Our agents run on the highest-performing language models available because that's what's required for them to function effectively. Cheaper models often fall short — they may struggle with long contexts and are more likely to ignore or override important instructions.

For simpler use cases, this can make models like Claude 3.5 Sonnet or similar appear more cost-efficient, but the trade-off in reliability, accuracy, and ability to follow complex instructions is significant.

Currently, your agent is powered by Claude 4.0 Sonnet. While there is a more expensive model — Claude 4.0 Opus — we've found that the performance difference does not justify the additional cost for most use cases. That's why we stick with Sonnet as our top-tier default.

Our Strategy

Start with the best model to ensure your agent performs reliably. Then, if the cost becomes too high for the frequency you'd like to run the agent, let us know which agent you're referring to and we'll be happy to downgrade it to a more cost-effective model.

Our AI agent platform is subscription-based, designed to scale with your organization's needs.

Current pricing

You can view the current pricing structure and plans on our signup page.

What's included

Our platform subscription typically includes:

• Access to the AI agents platform
• Basic support and documentation
• Regular platform updates and improvements

Custom solutions

For enterprise customers or organizations with specific requirements, we also offer custom pricing plans. Contact our team to discuss your specific needs.

Starting in June 2025, Abundly enforces credit limits to ensure sustainable platform usage.

When credits are depleted

• Agents automatically pause: Your agents will stop running when your credit balance reaches zero
• No interruption to data: All your agent configurations, documents, and chat history remain safe
• Easy restart: Agents resume immediately once you add more credits

What you need to do

If you have an active subscription:

• Purchase additional credits to keep your agents running
• Credits can be bought through your account dashboard

If you don't have a subscription:

• Choose a subscription plan to continue using your agents
• Visit your account settings to select the plan that fits your needs

Preventing unexpected stops

• Monitor your credit balance regularly in your dashboard
• Set up low-credit notifications if available
• Consider pausing unused agents to conserve credits

Getting help

If you need assistance with credit management or have questions about subscription plans, contact us at support@abundly.ai.