Knit API Ratings (September 2025)
This page breaks down Knit API ratings from all verified review sources to give you a clear, unbiased view of what real users think in September 2025.
We’ve aggregated the latest scores from all major platforms like Trustpilot, G2, Capterra and many more to help you understand Knit API’s overall reputation. This data-driven overview will show you exactly how Knit API is rated - including how it compares to competitors.
Knit API's Overall Rating Summary
- Average Rating:4.8/5
- Total Reviews:65 reviews
- Sources:G2, Producthunt
- Last updated:September 1, 2025
Knit API Ratings by Source
| Platform | Rating | Reviews | Last Update |
|---|---|---|---|
 G2 | 4.7/5 | 54+ reviews | 01.09.25 |
 Producthunt | 5/5 | 11+ reviews | 01.09.25 |
What is Knit API?
Knit offers a Unified API that enables hundreds of integrations, allowing users to connect with multiple ATS, HRIS, Accounting, CRM, and Chat tools. Key features include a common data model, bi-directional data sync, customizable authentication, and a webhook-first architecture for secure and efficient data handling. Knit also provides a dedicated dashboard for customer experience management and ensures data security with SOC2, GDPR, and ISO27001 compliance.
🤔 Knit API vs Competitors: How Do Ratings Compare?
Check out Knit API AlternativesFrequently Asked Questions
How trustworthy is Knit API?
According to G2 and Producthunt review sites Knit API holds ratings of 4.7/5 and 5/5 respectively from 65 reviews, indicating a strong level of trust and satisfaction among users as of September 2025.
How many stars is Knit API rated?
Knit API has an average star rating of 4.8 out of 5 stars based on average of 65 reviews as of September 2025.
Where does the rating data come from?
The ratings are pulled from Knit API public reviews pages on platforms: G2, Producthunt. We update these ratings monthly to ensure they reflect the most current customer feedback.
How overall average rating for Knit API is calculated?
The overall average rating is calculated by taking the weighted average of all ratings, using the total reviews count from each platform as the weight.