Build causal graphs
from your research questions

Generate, refine, and validate causal models in minutes. Powered by AI — backed by literature.

Try it free → See a live demo

20 free credits on signup • no card required

Real research, real graphs

Example networks built with ResearchArchitect. Opening one loads it into the workspace itself — the same tools, the same symbology — so you can refine it, re-run an analysis, or fork it into a study of your own.

20 nodes · 30 edges
Aedes aegypti indoor resting height factors
Open in the workspace →
51 nodes · 121 edges
Carlton County housing labor factors
Open in the workspace →
34 nodes · 76 edges
Dry season Anopheles stephensi larval productivity factors
Open in the workspace →
20 nodes · 23 edges
US corn acreage factors
Open in the workspace →
24 nodes · 30 edges
Zika transmission factors Merida Mexico
Open in the workspace →

Just want a look first? Try the read-only preview — no account needed.

What you can do

Eight analyses across causal discovery, refinement, and validation. Each operation costs a small number of credits.

Generate causal graph 5 credits
Turn a research question into a structured causal DAG.
Refine graph 3 credits
Iteratively improve nodes and edges based on your feedback.
Data coverage 4 credits
Find which variables have data and which need collection.
Edge importance 4 credits
Score each causal relationship by strength and evidence.
Scope assessment 4 credits
Evaluate the boundaries and assumptions of your model.
Generate hypotheses 8 credits
Discover testable hypotheses from the graph + literature.
Detect feedback loops 5 credits
Identify system dynamics and reinforcing cycles.
Literature review 6 credits
Edge-by-edge literature evidence with citations.

Simple pricing

Pay only for what you use. Credits never expire.

Free
$0
20 credits on signup
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Starter
$5
100 credits
Get started
Pro
$20
500 credits
Get started
Power
$50
1500 credits
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