Layer 1 · gdr-5ed5c37b
learningmachine.com
Latin dominant · high lexical diversity · short-form declarative register · moderate clause complexity · broad topic range · strong uncommon edge signal
Schema: 17% COM · LIVE Minted: 2026-05-12 Visit Source ↗ manifest.json ↗
Entity Identity gdr-5ed5c37b · minted 2026-05-12T18:59:22Z
◈ This record is claimable  ·  Verified entities are cited by AI systems
Claim Entity Profile →
COM · Entity Record
learningmachine.com
JSON-LD ✓Root-LD ✗schema.org ✓
STATUS: LIVE SSL: VALID SECURITY: STRONG FRESHNESS: CURRENT TLD EDGE: .com ↗
◈ Topology Position
Latin dominant · high lexical diversity · short-form declarative register · moderate clause complexity · broad topic range · strong uncommon edge signal
◈ Entity Topology Map
gdr-5ed5c37b · v1.0.0 · Law III+V+VI
c07eab6e88ca9cafc50a396f8f113a5elearningmachine.comgdr-5ed5c37bOrganizationContactPointTTR0.64HAPAX0.504SKEW0.141PARA0.833TTR0.6395HAPAX0.5043REP0.4957SCHEMA17%TOKENS577NODES21SCHEMA TYPESTOPOLOGYGRAPH EDGESNEG SPACE
Latin dominant · high lexical diversity · short-form declarative register · moderate clause complexity · broad topic range · strong uncommon edge signal
Federation ID
gdr-5ed5c37b
Slug
learningmachine-com
TLD
.com
Status Code
200
Response Time
9583ms
Interior Pages
0
Interior Words
0
Minted At
2026-05-12T18:59:22Z
Law I — Provenance · Law II — Temporal Attestation Visit learningmachine.com ↗
SEO Record extracted from http://www.learningmachine.com/
Title
Hyland Credentials | Hyland
H1
HYLAND CREDENTIALS
Meta Description
Hyland Credentials uses blockchain-secured technology to issue and verify digital records. Learn more.
Canonical URL
https://www.hyland.com/en/solutions/products/hyland-credentials
Language Attribute
en
Word Count
577
Open Graph Tags
og:description: Hyland Credentials uses blockchain-secured technology to issue and verify digitaog:image: https://res.cloudinary.com/hyld/image/upload/f_auto,dpr_auto,w_auto,q_auto,c_scaog:title: Hyland Credentials | Hylandog:url: https://www.hyland.com/en/solutions/products/hyland-credentials
H2 (1)
Features
H2 (2)
Case studies
H2 (3)
Manage Cookies
Full Extracted Text Corpus 4,082 chars · 577 words · 0 pages · Law I
Everything learningmachine.com said about itself — extracted verbatim from 0 pages, 577 words total. No editorial layer. No inference. Law III — the text is the measurement. Meaning is the reader's. Minted: 2026-05-12T18:59:22Z
◈ Homepage — http://www.learningmachine.com/Skip to content Trusted content powers enterprise AI. Learn how to govern and activate it at CommunityLIVE 2026. Register now! Community Contact us English Search PLATFORM SOLUTIONS CUSTOMERS PARTNERS RESOURCES COMPANY Request a demo Home Solutions All products Hyland Credentials HYLAND CREDENTIALS Use blockchain-secured digital credentials to issue and verify digital records in higher ed and government. Book a demo Chat with our team Features Benefits Case studies Resources Features Hyland Credentials leverages blockchain technology to quickly, accurately and efficiently verify records in a secure, tamper-proof way.   Powered by blockchain and Blockcerts Hyland Credentials makes it easy to issue records in a format that is fully compliant with the open standard set by Blockcerts.org. Provides credential ownership to users Users and recipients own their records and can verify them anywhere through a set of APIs, or aggregate them to form lifelong records of achievement. Increase security Hyland Credential records are secure, tamper-proof and vendor-independent. All content is stored off-chain for maximum privacy. Promote awareness Generate brand awareness with recognizable records that can be shared safely anywhere in the world. Prevent fraud Use cryptographic signatures to stop others from impersonating official records. Integrate with third-party applications APIs make it easy to establish trust for critical information, including time stamping, e-signatures, digital signatures and blockchain anchoring.  Benefits Hyland Credentials provides a no-code, complete solution for digital credentialing from issuance to authentication and verification. Case studies Nothing beats seeing the impact a solution has in the real world. Take a look at some of the stories from Hyland customers. Massachusetts Institute of Technology University empowers students to be the curators of their own credentials. Federation of State Medical Boards Nonprofit combines fraud protection with individual custodianship of official records. View all case studies Forrester Study: The Rise of Content Intelligence – A New Era of Innovation in ECM Insights from the 6th Annual Content Services Pulse Study, 2025 Edition Explore how modern content services solutions unlock content intelligence to streamline workflow, strengthen governance and drive better business outcomes. Get practical insights on AI readiness, content intelligence adoption and workforce transition strategies. Access the report Resources Hyland Credentials for Higher Education Get solution summary Empower your people to deliver their best with Hyland Connect with an expert Be more informed, empowered and connected through every interaction and in every relationship with everyone you serve. Contact us WHY HYLAND Case Studies Analyst Reports Insights Integrations DISCOVER & LEARN Resource Center Terminology Downloads Product Updates All Pages HYLAND SERVICES Implementation Managed Consulting Data Conversion ABOUT HYLAND Careers About Partners Corporate Responsibility Newsroom CONNECT Community Events Training Documentation Tech Support Start your shift to a new era of content innovation. Get monthly insights FOLLOW US   ©2026 Hyland. All rights reserved. Hyland, the H design, and Hyland product names are registered and/or unregistered trademarks of Hyland and its affiliates in the United States and other countries. Privacy Cookie Policy Manage Cookies Do Not Sell or Share My Personal Information Terms of Use Security and Compliance Legal and Compliance This website uses cookies and other tracking technologies to enhance user experience and to analyze performance and traffic on our website. We also disclose information from cookies on our site to our third-party social media, advertising and analytics partners. You can opt out of such disclosures by clicking “Do Not Sell or Share My Personal Information.” Further information is available in ourView Cookie Policy. Do Not Sell or Share My Personal Information Reject All Accept Cookies
◈ Crawled Pages — Provenance Chain
Law I — Provenance · Law III — Reverse Ontology · source: http://www.learningmachine.com/ Visit Source ↗
Root-LD — Traveling Context Pod v1.0 · gdr-5ed5c37b · three layers
10
Graph Edges
577
Tokens Measured
0.6395
Type-Token Ratio
1
Schema Blocks
17%
Schema Coverage
Root-LD is the traveling context pod for this entity — permanent, provenance-grounded. The head <script> block is machine-readable. This section shows the same data to humans. We show the work in both spaces.
Layer 1 — Anchor · Immutable after mint. UUID, federation_id, content hash, timestamps. A new crawl appends to recursive — the anchor is never touched. Law I — Provenance.
rld:anchor — gdr-5ed5c37b
{
  "uuid": "5ed5c37b-3bc7-4ebc-a560-974e88668b39",
  "federation_id": "gdr-5ed5c37b",
  "sequence": 0,
  "content_hash": "63774e775faf0dc768be53f29df9c70ed8ac0e6685f0e8a69a387a1f6d5b6966",
  "primary_source": "http://www.learningmachine.com/",
  "source_verified": true,
  "generation_method": "crawl_extract_v1",
  "spec_version": "1.0",
  "queued_at": "2026-05-12T18:59:22.911981+00:00",
  "minted_at": "2026-05-12T18:59:22.911981+00:00"
}
Layer 2 — Body · Complete measurement snapshot frozen at mint. Identity, SEO, schema graph, six-layer topology fingerprint, ratio signals, navigation. Law II — Temporal Attestation.
rld:body — learningmachine.com
{
  "domain": "learningmachine.com",
  "canonical_url": "http://www.learningmachine.com/",
  "tld": "com",
  "slug": "learningmachine-com",
  "status_code": 200,
  "redirect_chain": [],
  "response_time_ms": 9583,
  "ssl_valid": true,
  "server_header": "cloudflare",
  "title": "Hyland Credentials | Hyland",
  "h1": "HYLAND CREDENTIALS",
  "meta_description": "Hyland Credentials uses blockchain-secured technology to issue and verify digital records. Learn more.",
  "lang_declared": "en",
  "schema_types": [
    "Organization",
    "ContactPoint"
  ],
  "schema_score": 0.1723,
  "schema_prop_count": 7,
  "schema_gap_list": [
    "funding",
    "knowsAbout",
    "employee",
    "logo",
    "foundingDate",
    "diversityStaffingReport",
    "keywords",
    "slogan",
    "funder",
    "aggregateRating",
    "leiCode",
    "knowsLanguage",
    "brand",
    "skills",
    "naics",
    "founder",
    "hasMerchantReturnPolicy",
    "parentOrganization",
    "globalLocationNumber",
    "review"
  ],
  "top_semantic_words": [
    "hyland",
    "records",
    "credentials",
    "information",
    "blockchain",
    "digital",
    "case",
    "studies",
    "insights",
    "cookies",
    "solutions",
    "partners",
    "resources",
    "verify",
    "signatures",
    "solution",
    "intelligence",
    "services",
    "personal",
    "community",
    "customers",
    "demo",
    "issue",
    "higher",
    "features",
    "benefits",
    "technology",
    "secure",
    "tamper",
    "proof",
    "blockcerts",
    "easy",
    "provides",
    "credential",
    "users",
    "anywhere",
    "apis",
    "security",
    "awareness",
    "world"
  ],
  "ratio_signals": {
    "schema_density": 0.175,
    "nav_ratio": 0.0,
    "content_to_structure_ratio": 0.001718,
    "external_tld_diversity": 1,
    "self_declaration_coherence": 0.4286,
    "schema_to_navigation_alignment": 0.0,
    "javascript_surface_ratio": 0.0,
    "url_depth_distribution": {
      "depth_0": 0,
      "depth_1": 0,
      "depth_2": 0,
      "depth_3plus": 0
    }
  },
  "semantic_html_ratio": 0.0,
  "javascript_surface_ratio": 0.0,
  "img_alt_coverage": 0.0,
  "robots_complexity_score": 0,
  "ariadne_blocked": false,
  "security_label": "STRONG",
  "https_enforced": true,
  "freshness_label": "CURRENT",
  "tld_starjet_url": "https://globaldataregistry.com/registry/tld/ledger/com",
  "schema_starjet_urls": [
    "https://globaldataregistry.com/registry/schema/ledger/organization",
    "https://globaldataregistry.com/registry/schema/ledger/contactpoint"
  ],
  "native_text_sample": "Skip to content\n\nTrusted content powers enterprise AI. Learn how to govern and activate it at CommunityLIVE 2026.\n\nRegister now!\nCommunity\nContact us\nEnglish\nSearch\nPLATFORM\nSOLUTIONS\nCUSTOMERS\nPARTNERS\nRESOURCES\nCOMPANY\nRequest a demo\nHome\nSolutions\nAll products\nHyland Credentials\nHYLAND CREDENTIALS\n\nUse blockchain-secured digital credentials to issue and verify digital records in higher ed and government.\n\nBook a demo\nChat with our team\nFeatures\nBenefits\nCase studies\nResources\nFeatures\n\nHyland",
  "topology_fingerprint_version": "1.0.0"
}
Layer 3 — Recursive · Empty at mint. Grows forever through accumulated corpus passes. Common edges (Law V), uncommon edges (Law VI), topology cluster scores. The graph builds itself. Law VII — Torus.
rld:recursive — edge_count=0
{
  "edges": [],
  "appended_at": [],
  "edge_count": 0
}
Root-LD v1.0 · root-ld.org · Law I+II+VII root-ld.org ↗
Schema.org Intelligence scored · graph traversal · Law VI negative space
17% coverage · 2 types · 7 props · 76 gaps · click to expand
17%
Schema Utilization Score
MINIMAL COVERAGE — SIGNIFICANT GAPS
schema.org v2.0.0 · 7 props extracted · 76 gaps · http://www.learningmachine.com/
ThingOrganizationContactPoint
◈ Schema Graph — Three-Direction Traversal
Declared: Organization · ContactPoint
✓ Implemented
urlownhttp://www.hyland.com
contactPointown[ContactPoint] (+2 more)
telephoneown+1-440-788-5000
contactTypeownFront Desk
contactOptionownTollFree
areaServedownUS
faxNumberown+1.440-788-5100
✗ Not Implemented / Gap
emailgap
numberOfEmployeesgap
openingHoursgap
logogap
namegap
slogangap
keywordsgap
sameAsgap
aggregateRatinggap
descriptiongap
identifiergap
geogap
addressgap
hasOfferCataloggap
priceRangegap
imagegap
knowsAboutgap
alternateNamegap
foundingDategap
legalNamegap
fundinggap
employeegap
diversityStaffingReportgap
fundergap
leiCodegap
knowsLanguagegap
brandgap
skillsgap
naicsgap
foundergap
hasMerchantReturnPolicygap
parentOrganizationgap
globalLocationNumbergap
reviewgap
Thingancestor +1schema.org/Thing ↗1/13 (7%)
The most generic type of item.
url
sameAsnameadditionalTypeidentifierownersubjectOfmainEntityOfPagepotentialActiondescriptionalternateName
CreativeWorksibling via Thingschema.org/CreativeWork ↗102 exclusive
The most generic kind of creative work, including books, movies, photographs, software programs, etc.
providergenrewordCountaccessModeSufficientacquireLicensePagetemporalCoveragepublisherthumbnail
Productsibling via Thingschema.org/Product ↗46 exclusive
Any offered product or service. For example: a pair of shoes; a concert ticket; the rental of a car; a haircut; or an episode of a TV show streamed online.
hasMeasurementweightheightdisplayLocationgtingtin12isRelatedToproductID
Eventsibling via Thingschema.org/Event ↗33 exclusive
An event happening at a certain time and location, such as a concert, lecture, or festival. Ticketing information may be added via the [[offers]] property. Repe
durationendDateeventAttendanceModeactormaximumVirtualAttendeeCapacitysuperEventoffersrecordedIn
Personsibling via Thingschema.org/Person ↗33 exclusive
A person (alive, dead, undead, or fictional).
honorificPrefixweightheightgenderpronounsdeathDateaffiliationchildren
Placesibling via Thingschema.org/Place ↗28 exclusive
Entities that have a somewhat fixed, physical extension.
geoCoversspecialOpeningHoursSpecificationpublicAccesssmokingAllowedgeoOverlapslatitudeopeningHoursSpecificationgeoContains
Actionsibling via Thingschema.org/Action ↗12 exclusive
An action performed by a direct agent and indirect participants upon a direct object. Optionally happens at a location with the help of an inanimate instrument.
providerresultactionProcessstartTimeobjectactionStatusagentinstrument
MedicalEntitysibling via Thingschema.org/MedicalEntity ↗7 exclusive
The most generic type of entity related to health and the practice of medicine.
relevantSpecialtystudycodelegalStatusrecognizingAuthorityguidelinemedicineSystem
Intangiblesibling via Thingschema.org/Intangible ↗0 exclusive
A utility class that serves as the umbrella for a number of 'intangible' things such as quantities, structured values, etc.
LocalBusinesschild / upgradeschema.org/LocalBusiness ↗+32 props
A particular physical business or branch of an organization. Examples of LocalBusiness include a restaurant, a particular branch of a restaurant chain, a branch
additionalPropertyamenityFeaturebranchCodecontainedInPlacecontainsPlacecurrenciesAcceptedgeogeoContains
EducationalOrganizationchild / upgradeschema.org/EducationalOrganization ↗+29 props
An educational organization.
additionalPropertyamenityFeaturebranchCodecontainedInPlacecontainsPlacegeogeoContainsgeoCoveredBy
NewsMediaOrganizationchild / upgradeschema.org/NewsMediaOrganization ↗+4 props
A News/Media organization such as a newspaper or TV station.
mastheadmissionCoveragePrioritiesPolicynoBylinesPolicyverificationFactCheckingPolicy
MedicalOrganizationchild / upgradeschema.org/MedicalOrganization ↗+3 props
A medical organization (physical or not), such as hospital, institution or clinic.
healthPlanNetworkIdisAcceptingNewPatientsmedicalSpecialty
Airlinechild / upgradeschema.org/Airline ↗+2 props
An organization that provides flights for passengers.
boardingPolicyiataCode
Corporationchild / upgradeschema.org/Corporation ↗+1 props
Organization: A business corporation.
tickerSymbol
SportsOrganizationchild / upgradeschema.org/SportsOrganization ↗+1 props
Represents the collection of all sports organizations, including sports teams, governing bodies, and sports associations.
sport
NGOchild / upgradeschema.org/NGO ↗+0 props
Organization: Non-governmental Organization.
GovernmentOrganizationchild / upgradeschema.org/GovernmentOrganization ↗+0 props
A governmental organization or agency.
FundingSchemechild / upgradeschema.org/FundingScheme ↗+0 props
A FundingScheme combines organizational, project and policy aspects of grant-based funding that sets guidelines, principles and mechanisms to support other
PoliticalPartychild / upgradeschema.org/PoliticalParty ↗+0 props
Organization: Political Party.
OnlineBusinesschild / upgradeschema.org/OnlineBusiness ↗+0 props
A particular online business, either standalone or the online part of a broader organization. Examples include an eCommerce site, an online travel booking site,
◈ Structural Negative Type Space — Constitutional Law VI
◈ Action Branch

No structural connection to the Action branch. Graph position measurement. schema.org/Action ↗ · Law III — meaning is yours.

◈ BioChemEntity Branch

No structural connection to the BioChemEntity branch. Graph position measurement. schema.org/BioChemEntity ↗ · Law III — meaning is yours.

◈ CreativeWork Branch

No structural connection to the CreativeWork branch. Graph position measurement. schema.org/CreativeWork ↗ · Law III — meaning is yours.

◈ Event Branch

No structural connection to the Event branch. Graph position measurement. schema.org/Event ↗ · Law III — meaning is yours.

◈ Intangible Branch

No structural connection to the Intangible branch. Graph position measurement. schema.org/Intangible ↗ · Law III — meaning is yours.

◈ MedicalEntity Branch

No structural connection to the MedicalEntity branch. Graph position measurement. schema.org/MedicalEntity ↗ · Law III — meaning is yours.

◈ Person Branch

No structural connection to the Person branch. Graph position measurement. schema.org/Person ↗ · Law III — meaning is yours.

◈ Place Branch

No structural connection to the Place branch. Graph position measurement. schema.org/Place ↗ · Law III — meaning is yours.

◈ Product Branch

No structural connection to the Product branch. Graph position measurement. schema.org/Product ↗ · Law III — meaning is yours.

◈ Taxon Branch

No structural connection to the Taxon branch. Graph position measurement. schema.org/Taxon ↗ · Law III — meaning is yours.

◈ Gap List (76 properties unmapped)
fundingknowsAboutemployeelogofoundingDatediversityStaffingReportkeywordssloganfunderaggregateRatingleiCodeknowsLanguagebrandskillsnaicsfounderhasMerchantReturnPolicyparentOrganizationglobalLocationNumberrevieweventinteractionStatisticlegalNameaddressmemberOfactionableFeedbackPolicyethicsPolicyhasCertificationnumberOfEmployeesiso6523Code
+46 more gaps not shown
◈ Source Schema.org — Raw Extraction (1 blocks)
Block 1 · @type: Organization
{
  "@context": "https://schema.org",
  "@type": "Organization",
  "url": "http://www.hyland.com",
  "contactPoint": [
    {
      "@type": "ContactPoint",
      "telephone": "+1-440-788-5000",
      "contactType": "Front Desk",
      "contactOption": "TollFree",
      "areaServed": "US"
    },
    {
      "@type": "ContactPoint",
      "faxNumber": "+1.440-788-5100",
      "contactType": "Fax"
    },
    {
      "@type": "ContactPoint",
      "telephone": "+1-888-495-2638",
      "contactType": "Sales and Marketing",
      "areaServed": "US"
    }
  ]
}
◈ Source: http://www.learningmachine.com/ · Law I — Provenance
schema.org v2.0.0 · source: http://www.learningmachine.com/ schema.org/Organization ↗
Semantic Words 40 words · frequency ranked · Law III
40 words · top 5: hyland · records · credentials · information · blockchain · click to expand
Top 40 words by frequency from http://www.learningmachine.com/ + 0 interior pages (0 words total). Stop-words stripped. Ranked by repetition.
#1hyland16x · 4.78%
#2records9x · 2.69%
#3credentials8x · 2.39%
#4information6x · 1.79%
#5blockchain4x · 1.19%
#6digital4x · 1.19%
#7case4x · 1.19%
#8studies4x · 1.19%
#9insights4x · 1.19%
#10cookies4x · 1.19%
#11solutions3x · 0.9%
#12partners3x · 0.9%
#13resources3x · 0.9%
#14verify3x · 0.9%
#15signatures3x · 0.9%
#16solution3x · 0.9%
#17intelligence3x · 0.9%
#18services3x · 0.9%
#19personal3x · 0.9%
#20community2x · 0.6%
#21customers2x · 0.6%
#22demo2x · 0.6%
#23issue2x · 0.6%
#24higher2x · 0.6%
#25features2x · 0.6%
#26benefits2x · 0.6%
#27technology2x · 0.6%
#28secure2x · 0.6%
#29tamper2x · 0.6%
#30proof2x · 0.6%
#31blockcerts2x · 0.6%
#32easy2x · 0.6%
#33provides2x · 0.6%
#34credential2x · 0.6%
#35users2x · 0.6%
#36anywhere2x · 0.6%
#37apis2x · 0.6%
#38security2x · 0.6%
#39awareness2x · 0.6%
#40world2x · 0.6%
Law III — frequency measured, meaning is the reader's · source: http://www.learningmachine.com/
Text Topology Fingerprint v1.0.0 · medium · 4,082 chars · Law III
Six-layer pre-linguistic shape measurement. Deterministic. Same input, same output, always. Hash: c07eab6e88ca9cafc50a396f8f113a5e...
◈ Signal Matrix
0.640
TTR
0.504
HAPAX
0.496
REP
0.097
BIGRAM
0.789
H2T
0.291
CPRT
0.705
SKEW
-0.687
KURT
0.536
C/P
1.154
PENT
0.833
S1P
0.002
NASC
TTR=type-token ratio · HAPAX=hapax ratio · REP=repetition score · BIGRAM=bigram repetition · H2T=hapax-to-type · CPRT=capital token ratio · SKEW=sentence skewness · KURT=sentence kurtosis · C/P=comma-period ratio · PENT=punct entropy · S1P=single-sent para ratio · NASC=non-ASCII ratio
◈ Topology Position
Latin dominant · high lexical diversity · short-form declarative register · moderate clause complexity · broad topic range · strong uncommon edge signal
◈ Six Measurement Layers
Layer 1 — Character
0.0020
Non-ASCII Ratio
0.0 = Latin-dominant · 1.0 = fully non-Latin script
Layer 1 — Character
3.2592
Character Entropy
Shannon entropy of character distribution.
Layer 1 — Character
'e' (373x)
Most Frequent
Highest-frequency character. Law V — common edge.
Layer 2 — Token
0.6395
Type-Token Ratio
Unique tokens / total tokens. Lexical diversity signal.
Layer 2 — Token
0.5043
Hapax Ratio
Tokens appearing exactly once. Law VI — uncommon edge.
Layer 6 — Document
0.7886
Hapax to Type
Hapax count / unique token count.
Layer 3 — Punctuation
0.5357
Comma/Period Ratio
Clause complexity per sentence.
Layer 3 — Punctuation
1.1537
Punct Entropy
Shannon entropy across punctuation types.
Layer 4 — Sentence
27
Sentence Count
Total detected sentences across all crawled pages.
Layer 4 — Sentence
0.7045
Skewness
Positive = long-tail. Negative = conversational.
Layer 5 — Paragraph
0.8333
Single Sent Ratio
High = web copy. Low = academic prose.
Layer 6 — Document
0.4957
Repetition Score
Tokens appearing more than once / total.
◈ Token Length Distribution
1-3
29%
4-6
27%
7-10
35%
11-15
9%
16-20
0%
21+
0%
◈ Density Gradient — TTR per Document Tenth
Front-loaded = abstract/preamble · Flat = consistent prose · Back-loaded = building complexity
◈ Lexical Richness Curve — Rolling Window TTR
0.780.98
Window=50 tokens · Step=25 · 22 data points
topology_fingerprint.py v1.0.0 · sha256: c07eab6e88ca9caf... · Law III + Law VI
Ratio Signals 8 deterministic measurements · the gap is the signal
Eight deterministic measurements. Law I: every value traces to its source stage.
schema density
0.1750
Schema props extracted / top semantic words.
nav ratio
0.0000
Nav URLs / total internal URLs.
content to structure ratio
0.0017
Total words / raw HTML bytes. Content density.
external tld diversity
1
Unique TLD count in outbound links.
self declaration coherence
0.4286
Fuzzy overlap across title / H1 / meta / schema name.
schema to nav alignment
0.0000
Schema type tokens vs nav link text overlap.
javascript surface ratio
0.0000
Fraction of interior pages JS-gated.
URL Depth Distribution
depth_0: 0 · depth_1: 0 · depth_2: 0 · depth_3plus: 0
Internal URLs by path depth. Depth 0 = root.
Tech Stack · Security · Freshness SecurityLabel.STRONG · FreshnessLabel.CURRENT
Sitemap: ✗Robots.txt: ✗Schema.org: ✓Open Graph: ✓Canonical: ✓HTTPS: ✓HSTS: ✓CSP: ✓
Security
SecurityLabel.STRONG
Freshness
FreshnessLabel.CURRENT
Server
cloudflare
cdnCloudflare
web_servercloudflare
analytics['Google Analytics', 'Google Tag Manager']
frameworks['svelte']
Ledger Appends 3 ledgers · graph edge traversal · Law V+VII
Every ledger this entity appends to. Follow any link to see every other entity in the registry that shares that TLD or schema type. Law VII — Torus. The corridor never ends.
TLD LEDGER
.com
https://globaldataregistry.com/registry/tld/ledger/com ↗
SCHEMA LEDGER
organization
https://globaldataregistry.com/registry/schema/ledger/organization ↗
SCHEMA LEDGER
contactpoint
https://globaldataregistry.com/registry/schema/ledger/contactpoint ↗
Law V — Common Edge · Law VII — Torus · 3 ledger appends
Build: national-transit-v1.0.0 Spec: Root-LD v1.0 Status: LIVE Minted: 2026-05-12
learningmachine.com · gdr-5ed5c37b
learningmachine.com is recorded in the Global Data Registry — open provenance infrastructure for the machine-readable web.
View the Registry →