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Archive of Formal Proofs
A collection of proof libraries, examples, and larger scientific developments, mechanically checked in the theorem prover Isabelle.
Last refresh
Updated 16d ago
Analyst read
Professional
Detected stack
Quick read
How to read isa-afp.org quickly
isa-afp.org looks like technology & computing. Traffic estimates are limited, so use the trust and structure modules first. Current AI trust scoring is 5/100.
What to do next
- The stack appears to include React.
- Open the Traffic tab if you need audience scale and geography before outreach.
- Open the Business tab if trust, monetization, or positioning is your first decision filter.
Provider Completeness
31/56 fields populated (55%)
Providers with missing fields
View field-level status
visual: 4/4
All expected fields present
meta: 3/3
All expected fields present
seo: 5/5
All expected fields present
dns: 2/4
Missing: mxRecords, txtRecords
ads: 0/5
Missing: isAdvertiser, advertiserIds, advertiserNames, resultCount, transparencySignals
publisher: 2/5
Missing: adSystems, directCount, resellerCount
files: 2/3
Missing: robotsSitemapUrls
traffic: 0/10
Missing: monthlyVisits, globalRank, countryRank, bounceRate, avgVisitDuration, pagesPerVisit, topCountry, topRegions, topKeywords, trafficSources
whois: 6/6
All expected fields present
radar: 0/4
Missing: globalRank, rankBucket, categories, sourceTimestamp
ai: 7/7
All expected fields present
Why this module matters
Business signals help answer “is this a real opportunity?”
Use the business tab to understand trust, monetization, audience fit, and brand posture before you spend time on outreach, partnerships, or competitive teardown work.
- Trust score and sentiment are your first risk screen.
- Business summary and audience notes speed up qualification.
- Ads and monetization patterns reveal how the site captures value.
Business Intelligence
Business Profile
The Archive of Formal Proofs (AFP) is a scientific journal-like repository hosting formally verified mathematical proofs and software developments checked using the Isabelle theorem prover. It serves as a peer-reviewed collection of proof libraries for researchers and practitioners in formal methods.
Classification
Trust & Risk
Trust Assessment
Publisher Monetization
Monetization Signals
AI Visual Analysis
IAB Taxonomy
Business Insights
Business Model
Academic/Research Repository model detected
Trust Level
Low trust with 5/100 score
Audience
Academic researchers, computer scientists, mathematicians, and software engineers working in formal verification, theorem proving, and programming language theory
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