Credits now cover the entire ResBot pipeline, from search copilots and title screening to full-text review, extraction, quality assessment, and manuscript drafting.
For trying the full workflow before you commit
For students and solo researchers running complete reviews on a budget
For active researchers, consultants, and small teams
For labs, agencies, and high-volume review programs
Credits are sized around the live AI stack, not around outdated marketing assumptions.
1 credit screens up to 8 references
References are screened in AI batches of 8. Manual screening remains free.
5-15 credits per PDF
Short PDFs cost less, long or image-heavy PDFs cost more. Typical files land around 10 credits.
1 credit per study or outcome
Outcome extraction, risk of bias, and GRADE all consume credits only when AI runs.
1 credit per AI assist, 3 credits per manuscript
Search expansion, keyword suggestions, title generation, and report sections use 1 credit each.
100 credits buys roughly 800 title/abstract screens or about 10 average PDFs.
300 credits buys roughly 2,400 title/abstract screens or about 30 average PDFs.
750 credits buys roughly 6,000 title/abstract screens or about 75 average PDFs.
We support local payment methods including Vodafone Cash and InstaPay. Contact our sales team to arrange a direct transfer without international transaction fees.
Contact Sales for Local PaymentCredits now reflect the live cost of the current AI stack, including Gemini-based screening, GLM-5 extraction and reporting, GPT-4.1 Mini full-text review, and supporting deployment overhead.
Manual screening, collaboration basics, and core project organization remain free. Credits are consumed only when AI actually runs.
Yes. One-time credit packs never expire, and they work across search enhancement, screening, extraction, quality assessment, and manuscript generation.