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Screenshot of measurement-lab.org

Live website intelligence

measurement-lab.org

Home - M-Lab

Last refresh

Updated 47d ago

Analyst read

Professional

5/100 trustTechnology & ComputingStale snapshot

Detected stack

Cloudflare

Quick read

How to read measurement-lab.org quickly

measurement-lab.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 Cloudflare.
  • 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

34/56 fields populated (61%)

11 providers

Providers with missing fields

ads: 0/5publisher: 3/5files: 2/3traffic: 0/10radar: 0/4
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: 4/4

All expected fields present

ads: 0/5

Missing: isAdvertiser, advertiserIds, advertiserNames, resultCount, transparencySignals

publisher: 3/5

Missing: 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

Measurement Lab (M-Lab) is a consortium providing the largest open collection of Internet performance data. Founded by teams at Code for Science & Society, Google, and global partners, M-Lab hosts open-source measurement tools, makes all data openly available, and convenes researchers to study global network performance and internet censorship.

Business ModelNon-profit/Research Consortium
Target AudienceResearchers, policymakers, journalists, network engineers, civil society organizations, and technically-inclined users interested in internet transparency and performance measurement

Classification

CategoryTechnology & Computing
Sub-CategoryInternet
internet measurementnetwork performanceopen dataresearchnonprofittransparencycensorship monitoringopen sourcescientific collaboration

Trust & Risk

Trust Assessment

Trust Score5/100
SentimentProfessional
Spam DetectionClean

Publisher Monetization

ads.txtMissing

Monetization Signals

missing_ads_txt

AI Visual Analysis

Design StyleCorporate/Institutional
VibeTrustworthy, Academic, Transparent
UI Score7/100
Detected Logo TextMLAB

IAB Taxonomy

IAB CategoryTechnology & Computing
IAB Sub-CategoryInternet
Confidence95%
internet measurementnetwork performanceopen dataresearchnonprofittransparencycensorship monitoringopen sourcescientific collaboration

Business Insights

Business Model

Non-profit/Research Consortium model detected

Trust Level

Low trust with 5/100 score

Audience

Researchers, policymakers, journalists, network engineers, civil society organizations, and technically-inclined users interested in internet transparency and performance measurement

Keep exploring

Keep exploring from this report

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