Tidio Lyro
Lyro
Flat price, whole team$32.50
× 12 months$390.00
Per year
$3.25 per person / mo
$390
Tidio Lyro vs Decagon
Compare with for .
Tidio Lyro
60%
match · $390/yr
Decagon
32%
match · quote
Tidio Lyro is the better fit.
It publishes its prices; the other needs a sales quote.
How we work out the matchWhat matters most?
Fine-tune
What you'd pay
Entry plan for 10 people, billed yearly where offered. Prices checked Oct 2026.
Decagon
Sales quote
No public priceask sales
Per year
Quote
No public price
Tidio Lyro
From $32.50Free plan
Small businesses and online stores that want an affordable AI agent with live chat, and a price they can see before talking to sales.
vs
Decagon
From Custom
Large consumer brands that want a highly customized AI concierge and are ready to work closely with a vendor on rollout.
Side by side
| Tidio Lyro | Decagon | |
|---|---|---|
| Pricing | Free plan; Lyro from $32.50/month (annual) or $39 monthly for 50 conversations | Custom pricing: per conversation or per resolution |
| G2 Rating | Not yet verified | Not yet verified |
| Best For | Small businesses and online stores that want an affordable AI agent with live chat, and a price they can see before talking to sales. | Large consumer brands that want a highly customized AI concierge and are ready to work closely with a vendor on rollout. |
Pros and cons
Tidio Lyro
Pros
- Free plan and low entry price with published tiers
- Quick setup for small teams with no developer
- Can be bought standalone or with Tidio's live chat and help desk
- Strong fit for e-commerce (order status, product recommendations)
Cons
- Lyro is billed per conversation, so busy months move you up a tier
- Running Lyro on another help desk (Lyro Connect) needs the Plus or Premium plan
- Less suited to complex, multi-system enterprise workflows than Ada or Decagon
Decagon
Pros
- AOPs let CX teams describe workflows in plain language
- Choice of per-conversation or per-resolution pricing
- Built-in experiments and QA monitoring
- Voice, chat and email from one agent
Cons
- No public prices or trial
- Aimed at enterprise volumes, not small teams
- Fewer published integration details than Ada or Forethought
Marcus Williams