Enterprise causal platforms charge six figures. Python libraries need experts. CausalLens gives you publication-grade methods with an interface anyone can use — start with a free trial.
| Solution | Typical cost | Who can use it |
|---|---|---|
| Enterprise causal AI | $100k–$500k/year | Sales team |
| Stata / SAS | $500–$2k/year | Statistical coding |
| Python libraries (DoWhy, EconML) | Free | Developer required |
| CausalLens | Free trial → $49/mo Pro | Guided wizard, no code |
Guests can try sample datasets free. New accounts get a 14-day Pro trial (no credit card) with Pro limits — up to 10,000 rows per file, all methods, exports, and AI summaries. After that, Free allows up to 200 rows and 2 methods per run; Pro is $49/month for up to 10,000 rows and unlimited methods.
CausalLens uses DoWhy, EconML, and CausalML under the hood but adds a visual wizard, plain-English explanations, balance plots, refutation tests, and reports — so non-programmers can use the same methods.
No. Upload a CSV, pick your treatment and outcome columns, select methods, and read results in plain English. Power users can export reproducible Python scripts.
Propensity score matching, inverse probability weighting, difference-in-differences, instrumental variables, regression discontinuity, double/debiased ML, causal forests, meta-learners, DoWhy backdoor, PC/LiNGAM discovery, and AI-assisted guidance.
5-minute setup · sample datasets · no credit card