Pricing Components
LLM Usage
AI model usage is billed per token:| Model Type | Input Tokens | Output Tokens |
|---|---|---|
| Standard | Per 1K tokens | Per 1K tokens |
| Advanced | Per 1K tokens | Per 1K tokens |
- Roughly 4 characters or 0.75 words
- A typical question: 50-200 tokens
- A typical response: 200-1,000 tokens
Compute Usage
Code execution and sandbox usage:| Resource | Pricing |
|---|---|
| Container time | Per second |
| Memory | Based on allocation |
| CPU | Based on allocation |
- Running Python/JavaScript code
- Complex data analysis
- File processing
- API calls from sandbox
- Simple questions
- Web searches
- Reading integration data
- Most typical queries
Ways to Optimize Costs
Ask Efficiently
Be specific
Be specific
Specific questions use fewer tokens than vague ones that require follow-ups.Instead of: “Tell me about our customers”
Try: “What’s our customer count by segment for Q4?”
Request summaries
Request summaries
Ask for “brief” or “summary” to get shorter responses.Instead of: “Analyze our pipeline”
Try: “Give me a brief pipeline summary in bullet points”
Use scheduled reports
Use scheduled reports
A scheduled report costs less than asking the same question repeatedly.
Manage Compute
- Simple queries don’t need compute
- Point Adapt to summary tables when possible
- Batch complex analysis rather than running many times
Billing Details
How Usage Aggregates
Billing Cycle
- Start: When you sign up
- Frequency: Weekly (typically)
- Threshold billing: May bill early if spend exceeds threshold
- Invoice: Detailed breakdown available
Spending Controls
Set limits to control costs:- Go to Settings > Billing > Spending Controls
- Set a monthly budget
- Receive alerts at 50%, 75%, 90% of budget
- Optional: Pause usage at limit
Viewing Your Usage
Real-Time Dashboard
Settings > Billing > Usage See:- Current period spend
- Usage by component (LLM vs compute)
- Usage trend over time
- Projected monthly spend
Detailed Reports
Download usage reports showing:- Per-query costs
- User breakdown
- Integration usage
- Daily/weekly trends
Fair Use
We want Adapt to be affordable for everyone:- No hidden fees
- Transparent pricing
- Pass-through AI costs
- Competitive margins