πΈ Most SERP APIs have one problem: opaque pricing.
β Monthly minimums. Hidden fees. Charging you for failed requests. Overages that surprise you at the end of the month.
π€ I hate that. So I built TalorData differently:
β One simple model: pay-per-success.
π΅ You only pay when we return a successful result
π Failed requests? Free.
π No hidden fees
π Volume pricing, transparently:
| Volume | Price per 1K |
|--------|--------------|
| 5K | $1.00 |
| 30K | $0.90 |
| 100K | $0.70 |
| 500K | $0.60 |
| 3M | $0.45 |
| 10M | $0.25 |
β‘ For context: SerpApi charges around $2.5/1K at similar volumes. TalorData is 1/10 the price at scale β and we're faster (<1s P90).
π― No tricks. No fine-print. Just fast, affordable SERP data.
π New users get 1,000 free requests to try it out.
π¬ If you're running SEO at scale or building an AI Agent that needs search, I'd love to hear what you think about the pricing model. Too simple? Too cheap? Let me know π
I like the "pay only for successful requests" model because it aligns your incentives with your customers'. Pricing isn't just about being cheaperβit communicates what you're willing to stand behind. If developers can predict their bill in a few seconds, that's a competitive advantage on its own.
Great observation β and incredibly well put.
"Predictability" was exactly what I cared about most when designing the pricing. What developers fear most isn't a high price tag β it's an unexpected bill at the end of the month with no clear explanation. If they can calculate their cost in 5 seconds, that means they can use the service with peace of mind, without constantly worrying about runaway costs.
"Pay for what you actually get" is ultimately a trust issue. If I'm not willing to cover the cost of failed requests myself, why should users trust me to take data quality seriously?
Quick question for you: when building AI Agents or SEO tools, roughly how many queries do you run per month? Are there any cost items in your current setup that feel "off" to you? I'd love to hear real-world feedback so I can keep improving.
Thanks again for the thoughtful comment π
It isn't really about query volume.
There's a strategic distinction I think applies to your pricing model, but it would take more context than fits well in a thread, and I'd rather not oversimplify it here.
What's the best email to reach you on?
Thanks for the thoughtful follow-up. You mentioned there's a "strategic distinction" that applies to our pricing model β that caught my attention, because it's exactly the kind of thing we're constantly thinking about as well.
I'm not entirely sure what you're referring to β is it more about:
The pricing structure itself (e.g., whether pay-per-success works for certain use cases), or
The product positioning (whether SERP API has more suitable tiering for different scenarios)?
If you're open to continuing this conversation, feel free to send me a message β happy to connect.
It's actually neither of those, which is why I hesitated to squeeze it into a thread.
I'd be happy to explain the reasoning, but as far as I know Indie Hackers doesn't support direct messages.
If you're interested, what's the best email to reach you on?