Sensible vs. Nimble
A side-by-side comparison based on G2 review data.
| Metric | Sensible | Nimble |
|---|---|---|
| Overall rating | 4.9 | 4.8 |
| Review count | 14 | 81 |
| Ease of use | 9.2 | 9.8 |
| Ease of setup | 8.8 | 9.8 |
| Quality of support | 10.0 | 9.6 |
| Meets requirements | 9.3 | 9.2 |
| NPS | 92.857143 | 98.765432 |
| Small Business | 71.4% | 12.7% |
| Mid-Market | 28.6% | 49.4% |
| Enterprise | 0.0% | 38.0% |
| Total page views | 140 | 1,104 |
| Total LLM citations | 197 | 3,019 |
Sensible
Sensible is an API-first document processing platform that streamlines data extraction for developers, product, and operations teams. With advanced parsing techniques, comprehensive APIs, and a focus on seamless integration, Sensible enables teams to focus on building great products and features. Effortless automation: Extract data from any document across any industry using state-of-the-art methods like LLM parsing and deterministic rules. Seamless integration: Integrate document processing into your applications using our SDKs, APIs, webhooks, and Zapier.
Nimble
Nimble delivers expert-level web search for AI agents — built to drive higher accuracy while cutting token costs. Most AI agents rely on generic, one-size-fits-all search tools that treat every query the same way, regardless of what the agent is actually trying to accomplish. The result is noisy, irrelevant results: agents burn tokens parsing raw web pages, re-searching the same ground on every call, and still surface low-quality answers. As agentic AI scales into production, this generic approach becomes the weakest link in the stack.
- Proxies
- Ease of Use
- Features
- Performance
- API Integration
- Data Management