AI-detection research needs tools that report honestly rather than defensively. We offer free API access for non-commercial academic work, sentence-level data for analysis, and a standing invitation to evaluate us independently — including publishing findings that do not flatter us.
Free API access for non-commercial academic research, with limits raised beyond the standard free tier for the duration of a study. Requests are handled individually rather than through a self-serve form, so we can size the allowance to the work.
We do not publish a headline accuracy figure. No single number describes detection honestly: performance varies with text length, subject, register, and the author's first language, and a percentage stated without those conditions is marketing rather than measurement.
What we do state plainly is that detection is probabilistic pattern analysis and never proof of authorship. Every verdict in the product is accompanied by the sentence-level evidence behind it, so a reviewer can audit the result rather than trust it. For studies that need it, we can describe our evaluation methodology and the composition of our labelled corpus in more detail than the public documentation carries.
Formal scholarly prose is where general-purpose detectors fail most often, because disciplined academic writing genuinely shares surface features with machine text: consistent structure, measured transitions, and even sentence rhythm.
Two design decisions address this directly. Reference lists, in-text citation apparatus, publisher boilerplate, and declaration sections are detected and excluded before scoring, because citation formatting is the most formulaic text in any paper by construction. And sentence-level evidence is weighed against document-level style signals, so a paper whose sentences read human is not convicted on register alone. Both behaviours are observable in the API response, not just asserted here.
If you are benchmarking detectors, we would rather be measured than marketed. We will support studies that include ScribeLens on the same terms as any other tool, and we do not ask for review rights over findings.
We are particularly interested in false-positive work on non-native English writing and on formal academic registers, since those are the failure modes that carry real consequences for students and authors.
Email support@scribelensai.com from an institutional address with a short description of the study, the approximate volume of text involved, and where results are expected to appear. We ask only that published work cites ScribeLens and states the version used, which appears on every report.
Access is granted for non-commercial academic research. Commercial benchmarking, model training on our outputs, and resale of API results are not covered.
Yes, for non-commercial academic research. We raise the allowance to suit the study rather than applying the standard free-tier limit. Commercial benchmarking and resale are not included.
Because a single figure cannot describe detection honestly. Accuracy depends on text length, subject, register, and the author's first language, and a percentage quoted without those conditions misleads more than it informs. We would rather show the evidence behind each verdict and let independent evaluation speak for itself.
Yes. We do not ask for review rights, approval, or advance sight of findings. Negative results on false positives in academic and non-native English writing are especially useful to us.
A document-level verdict with its confidence tier, per-sentence classifications with scores, the reason keywords behind flagged sentences, and the exclusion record showing which reference and declaration sections were set aside before scoring.
Yes. A report can be given a verification link, which resolves to the stored copy of that exact analysis, so a result cited in a paper can be checked by a reader. Stored copies expire after 180 days by default; tell us if a study needs them kept longer.
The fastest way to judge a detector is to test it on writing you already know the provenance of. Free, no signup required.