Layer 1 · gdr-1a5ce2a6
ocdatascience.com
Latin dominant · high lexical diversity · long-form prose register · moderate clause complexity · broad topic range · strong uncommon edge signal
Schema: 10% COM · LIVE Minted: 2026-05-17 Visit Source ↗ manifest.json ↗
Entity Identity gdr-1a5ce2a6 · minted 2026-05-17T23:27:01Z
◈ This record is claimable  ·  Verified entities are cited by AI systems
Claim Entity Profile →
COM · Entity Record
ocdatascience.com
JSON-LD ✓Root-LD ✗schema.org ✓
STATUS: LIVE SSL: INVALID SECURITY: MINIMAL FRESHNESS: UNKNOWN TLD EDGE: .com ↗
◈ Topology Position
Latin dominant · high lexical diversity · long-form prose register · moderate clause complexity · broad topic range · strong uncommon edge signal
◈ Entity Topology Map
gdr-1a5ce2a6 · v1.0.0 · Law III+V+VI
8238f81960b5c3f97c3bec4705d54f43ocdatascience.comgdr-1a5ce2a6WebSiteTTR0.669HAPAX0.529SKEW0.315PARA0.0TTR0.6685HAPAX0.5292REP0.4708SCHEMA10%TOKENS359NODES17SCHEMA TYPESTOPOLOGYGRAPH EDGESNEG SPACE
Latin dominant · high lexical diversity · long-form prose register · moderate clause complexity · broad topic range · strong uncommon edge signal
Federation ID
gdr-1a5ce2a6
Slug
ocdatascience-com
TLD
.com
Status Code
200
Response Time
2776ms
Interior Pages
2
Interior Words
346
Minted At
2026-05-17T23:27:01Z
Law I — Provenance · Law II — Temporal Attestation Visit ocdatascience.com ↗
SEO Record extracted from http://www.ocdatascience.com/
Title
Orange County Data Science
H1
CUSTOM COMPUTER VISION & MACHINE LEARNING SOLUTIONS
Meta Description
Orange County Data Science. Custom Computer Vision & Machine Learning Solutions.
Canonical URL
http://www.ocdatascience.com
Language Attribute
en-US
Word Count
13
Open Graph Tags
og:site_name: OC Data Scienceog:title: Orange County Data Scienceog:url: http://www.ocdatascience.comog:type: websiteog:description: Orange County Data Science. Custom Computer Vision & Machine Learning Solutions.og:image: http://static1.squarespace.com/static/571e90cc859fd06191629aa3/t/571eae761bbee02og:image:width: 1500og:image:height: 469
Twitter / X Tags
twitter:title: Orange County Data Sciencetwitter:image: http://static1.squarespace.com/static/571e90cc859fd06191629aa3/t/571eae761bbee02twitter:url: http://www.ocdatascience.comtwitter:card: summarytwitter:description: Orange County Data Science. Custom Computer Vision & Machine Learning Solutions.
Full Extracted Text Corpus 2,534 chars · 359 words · 2 pages · Law I
Everything ocdatascience.com said about itself — extracted verbatim from 2 pages, 359 words total. No editorial layer. No inference. Law III — the text is the measurement. Meaning is the reader's. Minted: 2026-05-17T23:27:01Z
◈ Homepage — http://www.ocdatascience.com/ABOUT Services Contact ABOUT SERVICES CONTACT CUSTOM COMPUTER VISION & MACHINE LEARNING SOLUTIONS ◈ Interior Pages — 2 pages crawledContact — OC Data Science ABOUT Services Contact Menu ABOUT Services Contact   Contact Us Orange County Data Science 16932 Gothard Street Huntington Beach, CA 92647 [email protected] Services — OC Data Science ABOUT Services Contact Menu ABOUT Services Contact COMPUTER VISION When cameras are combined with computers powerful things can happen. Quality cameras and powerful computing have become so cheap that new opportunities are abundant. We appreciate this and have built the in-house expertise to deliver a wide variety of computer vision solutions. We have a deep understanding of the most common constraints and know how best to optimize speed, cost & accuracy of any solution. Machine Learning Generally, the solutions we deliver take the form of software that makes a decision. For example: accept this, reject that or market to this person, not that person, etc.  So naturally we’re interested in how software can make the best decisions now and make even better decisions in the future. Thus we’ve developed an expertise in machine learning. Providing a framework which, under the right conditions, helps improve decisions automatically by leveraging experience gained in the form of data. Whenever we design something we ask ourselves 'how can we make this solution improve itself automatically'? We apply machine learning to many of our technical problems, but we’ve also used it in business intelligence consulting in the context of: Product Recommendations Personalization Search/Rank Optimization Inventory & Sales Models Seasonal Sales Trend Analysis Product Trend Analysis Fraudulent Transaction Detection Churn Analysis Email Campaign Send Frequency & Optimization Subscription Lifetime Forecasting Referral/Loyalty Program Effectiveness Survey Response Analysis Customer Cohort Design & Segmentation Cart Abandonment Analysis PROJECT MANAGEMENT At our core, we’re problem solvers - we get from A to B. Whether that requires using our skills in mathematics, software, electronics and mechanical engineering, or shifting gears and overseeing manufacturing, coordinating subcontractors, and generating patent specifications, we do it. Clients approach us with problems spanning a wide domain and we’re happy to wear the hats required to achieve their goals. However, our favorite projects often build on our background in computer vision & machine learning.
◈ Crawled Pages — Provenance Chain
Law I — Provenance · Law III — Reverse Ontology · source: http://www.ocdatascience.com/ Visit Source ↗
Root-LD — Traveling Context Pod v1.0 · gdr-1a5ce2a6 · three layers
6
Graph Edges
359
Tokens Measured
0.6685
Type-Token Ratio
1
Schema Blocks
10%
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-1a5ce2a6
{
  "uuid": "1a5ce2a6-3f24-456d-a596-8f6f9d14dea3",
  "federation_id": "gdr-1a5ce2a6",
  "sequence": 0,
  "content_hash": "7ad08683096cc8284dfc1fc103d83cdfac3902e999822671840cf439d31ae5ec",
  "primary_source": "http://www.ocdatascience.com/",
  "source_verified": true,
  "generation_method": "crawl_extract_v1",
  "spec_version": "1.0",
  "queued_at": "2026-05-17T23:27:01.189987+00:00",
  "minted_at": "2026-05-17T23:27:01.189987+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 — ocdatascience.com
{
  "domain": "ocdatascience.com",
  "canonical_url": "http://www.ocdatascience.com/",
  "tld": "com",
  "slug": "ocdatascience-com",
  "status_code": 200,
  "redirect_chain": [],
  "response_time_ms": 2776,
  "ssl_valid": false,
  "server_header": "Squarespace",
  "title": "Orange County Data Science",
  "h1": "CUSTOM COMPUTER VISION\n& MACHINE LEARNING SOLUTIONS",
  "meta_description": "Orange County Data Science. Custom Computer Vision & Machine Learning Solutions.",
  "lang_declared": "en-US",
  "schema_types": [
    "WebSite"
  ],
  "schema_score": 0.1048,
  "schema_prop_count": 4,
  "schema_gap_list": [
    "issn",
    "funding",
    "provider",
    "genre",
    "wordCount",
    "accessModeSufficient",
    "acquireLicensePage",
    "temporalCoverage",
    "publisher",
    "thumbnail",
    "thumbnailUrl",
    "commentCount",
    "displayLocation",
    "archivedAt",
    "digitalSourceType",
    "assesses",
    "license",
    "keywords",
    "hasPart",
    "funder"
  ],
  "top_semantic_words": [
    "services",
    "machine",
    "learning",
    "analysis",
    "computer",
    "vision",
    "data",
    "solutions",
    "science",
    "software",
    "decisions",
    "cameras",
    "powerful",
    "expertise",
    "deliver",
    "wide",
    "best",
    "solution",
    "form",
    "person",
    "improve",
    "automatically",
    "design",
    "problems",
    "product",
    "optimization",
    "sales",
    "trend",
    "custom",
    "orange",
    "county",
    "gothard",
    "street",
    "huntington",
    "beach",
    "info",
    "ocdatascience",
    "combined",
    "computers",
    "things"
  ],
  "ratio_signals": {
    "schema_density": 0.1,
    "nav_ratio": 1.0,
    "content_to_structure_ratio": 0.005769,
    "external_tld_diversity": 0,
    "self_declaration_coherence": 0.2636,
    "schema_to_navigation_alignment": 0.0,
    "javascript_surface_ratio": 0.0,
    "url_depth_distribution": {
      "depth_0": 1,
      "depth_1": 2,
      "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": "MINIMAL",
  "https_enforced": false,
  "freshness_label": "UNKNOWN",
  "tld_starjet_url": "https://globaldataregistry.com/registry/tld/ledger/com",
  "schema_starjet_urls": [
    "https://globaldataregistry.com/registry/schema/ledger/website"
  ],
  "native_text_sample": "ABOUT\nServices\nContact\nABOUT\nSERVICES\nCONTACT\nCUSTOM COMPUTER VISION\n& MACHINE LEARNING SOLUTIONS",
  "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
10% coverage · 1 types · 4 props · 50 gaps · click to expand
10%
Schema Utilization Score
MINIMAL COVERAGE — SIGNIFICANT GAPS
schema.org v2.0.0 · 4 props extracted · 50 gaps · http://www.ocdatascience.com/
CreativeWorkWebSite
◈ Schema Graph — Three-Direction Traversal
Declared: WebSite
✓ Implemented
urlownhttp://www.ocdatascience.com
nameownOC Data Science
descriptionown<p>Orange County Data Science</p><p>Custom Computer Vision &amp; Machine Learning Solutions.</p>
imageown//images.squarespace-cdn.com/content/v1/571e90cc859fd06191629aa3/1461628534653-AWGBN4NU8F14LMTN4D2S/DATA+SCIENCE-logo.png
✗ Not Implemented / Gap
priceRangegap
geogap
foundingDategap
alternateNamegap
aggregateRatinggap
slogangap
identifiergap
sameAsgap
knowsAboutgap
keywordsgap
hasOfferCataloggap
emailgap
openingHoursgap
contactPointgap
numberOfEmployeesgap
logogap
areaServedgap
legalNamegap
addressgap
telephonegap
issngap
fundinggap
providergap
genregap
wordCountgap
accessModeSufficientgap
acquireLicensePagegap
temporalCoveragegap
publishergap
thumbnailgap
thumbnailUrlgap
commentCountgap
displayLocationgap
archivedAtgap
digitalSourceTypegap
assessesgap
licensegap
hasPartgap
fundergap
CreativeWorkancestor +1schema.org/CreativeWork ↗0/111 (0%)
The most generic kind of creative work, including books, movies, photographs, software programs, etc.
fundingprovidergenrewordCountaccessModeSufficientacquireLicensePagetemporalCoveragepublisherthumbnailthumbnailUrl
Thingancestor +2schema.org/Thing ↗4/13 (30%)
The most generic type of item.
namedescriptionurlimage
sameAsadditionalTypeidentifierownersubjectOfmainEntityOfPagepotentialActionalternateNamedisambiguatingDescription
SoftwareApplicationsibling via CreativeWorkschema.org/SoftwareApplication ↗23 exclusive
A software application.
fileSizecountriesSupportedfeatureListprocessorRequirementsstorageRequirementsreleaseNotessoftwareRequirementsoperatingSystem
MediaObjectsibling via CreativeWorkschema.org/MediaObject ↗18 exclusive
A media object, such as an image, video, audio, or text object embedded in a web page or a downloadable dataset i.e. DataDownload. Note that a creative work may
durationassociatedArticleheightstartTimeplayerTypesha256uploadDateineligibleRegion
VisualArtworksibling via CreativeWorkschema.org/VisualArtwork ↗13 exclusive
A work of art that is primarily visual in character.
weightheightcoloristartworkSurfaceartistartformdepthartEdition
CreativeWorkSeasonsibling via CreativeWorkschema.org/CreativeWorkSeason ↗10 exclusive
A media season, e.g. TV, radio, video game etc.
endDateseasonNumberactorepisodestartDatetrailernumberOfEpisodespartOfSeries
Coursesibling via CreativeWorkschema.org/Course ↗10 exclusive
A description of an educational course which may be offered as distinct instances which take place at different times or take place at different locations, or b
numberOfCreditssyllabusSectionseducationalCredentialAwardedhasCourseInstancetotalHistoricalEnrollmentfinancialAidEligiblecoursePrerequisitesoccupationalCredentialAwarded
MusicCompositionsibling via CreativeWorkschema.org/MusicComposition ↗10 exclusive
A musical composition.
recordedAsfirstPerformancelyricsmusicArrangementlyricistcomposeriswcCodemusicCompositionForm
TVSeriessibling via CreativeWorkschema.org/TVSeries ↗10 exclusive
CreativeWorkSeries dedicated to TV broadcast and associated online delivery.
containsSeasonmusicByactornumberOfSeasonsepisodetrailertitleEIDRnumberOfEpisodes
WebPagesibling via CreativeWorkschema.org/WebPage ↗9 exclusive
A web page. Every web page is implicitly assumed to be declared to be of type WebPage, so the various properties about that webpage, such as <code>breadcrumb</c
breadcrumbsignificantLinkmainContentOfPagereviewedByspeakablelastReviewedspecialtyrelatedLink
Reviewsibling via CreativeWorkschema.org/Review ↗9 exclusive
A review of an item - for example, of a restaurant, movie, or store.
itemReviewedassociatedClaimReviewpositiveNotesreviewAspectnegativeNotesassociatedMediaReviewreviewRatingassociatedReview
Clipsibling via CreativeWorkschema.org/Clip ↗9 exclusive
A short TV or radio program or a segment/part of a program.
endOffsetmusicBypartOfSeasonclipNumberactorpartOfSeriespartOfEpisodestartOffset
Episodesibling via CreativeWorkschema.org/Episode ↗9 exclusive
A media episode (e.g. TV, radio, video game) which can be part of a series or season.
durationmusicBypartOfSeasonactortrailerepisodeNumberpartOfSeriesproductionCompany
Messagesibling via CreativeWorkschema.org/Message ↗9 exclusive
A single message from a sender to one or more organizations or people.
toRecipientccRecipientdateReceivedrecipientdateReaddateSentbccRecipientmessageAttachment
HowTosibling via CreativeWorkschema.org/HowTo ↗8 exclusive
Instructions that explain how to achieve a result by performing a sequence of steps.
prepTimetoolstepyieldsupplyestimatedCosttotalTimeperformTime
Moviesibling via CreativeWorkschema.org/Movie ↗8 exclusive
A movie.
durationmusicByactortrailertitleEIDRsubtitleLanguageproductionCompanydirector
ExercisePlansibling via CreativeWorkschema.org/ExercisePlan ↗8 exclusive
Fitness-related activity designed for a specific health-related purpose, including defined exercise routines as well as activity prescribed by a clinician.
exerciseTypeworkloadintensityrepetitionsactivityFrequencyrestPeriodsadditionalVariableactivityDuration
No child types — leaf node.
◈ 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.

◈ 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.

◈ Organization Branch

No structural connection to the Organization branch. Graph position measurement. schema.org/Organization ↗ · 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 (50 properties unmapped)
issnfundingprovidergenrewordCountaccessModeSufficientacquireLicensePagetemporalCoveragepublisherthumbnailthumbnailUrlcommentCountdisplayLocationarchivedAtdigitalSourceTypeassesseslicensekeywordshasPartfunderaccessModeaggregateRatingmaterialaccessibilityControlrecordedAtmaintainertimeRequiredisBasedOneditEIDRsize
+20 more gaps not shown
◈ Source Schema.org — Raw Extraction (1 blocks)
Block 1 · @type: WebSite
{
  "url": "http://www.ocdatascience.com",
  "name": "OC Data Science",
  "description": "<p>Orange County Data Science</p><p>Custom Computer Vision &amp; Machine Learning Solutions.</p>",
  "image": "//images.squarespace-cdn.com/content/v1/571e90cc859fd06191629aa3/1461628534653-AWGBN4NU8F14LMTN4D2S/DATA+SCIENCE-logo.png",
  "@context": "http://schema.org",
  "@type": "WebSite"
}
◈ Source: http://www.ocdatascience.com/ · Law I — Provenance
schema.org v2.0.0 · source: http://www.ocdatascience.com/ schema.org/WebSite ↗
Semantic Words 40 words · frequency ranked · Law III
40 words · top 5: services · machine · learning · analysis · computer · click to expand
Top 40 words by frequency from http://www.ocdatascience.com/ + 2 interior pages (346 words total). Stop-words stripped. Ranked by repetition.
#1services7x · 3.41%
#2machine5x · 2.44%
#3learning5x · 2.44%
#4analysis5x · 2.44%
#5computer4x · 1.95%
#6vision4x · 1.95%
#7data4x · 1.95%
#8solutions3x · 1.46%
#9science3x · 1.46%
#10software3x · 1.46%
#11decisions3x · 1.46%
#12cameras2x · 0.98%
#13powerful2x · 0.98%
#14expertise2x · 0.98%
#15deliver2x · 0.98%
#16wide2x · 0.98%
#17best2x · 0.98%
#18solution2x · 0.98%
#19form2x · 0.98%
#20person2x · 0.98%
#21improve2x · 0.98%
#22automatically2x · 0.98%
#23design2x · 0.98%
#24problems2x · 0.98%
#25product2x · 0.98%
#26optimization2x · 0.98%
#27sales2x · 0.98%
#28trend2x · 0.98%
#29custom1x · 0.49%
#30orange1x · 0.49%
#31county1x · 0.49%
#32gothard1x · 0.49%
#33street1x · 0.49%
#34huntington1x · 0.49%
#35beach1x · 0.49%
#36info1x · 0.49%
#37ocdatascience1x · 0.49%
#38combined1x · 0.49%
#39computers1x · 0.49%
#40things1x · 0.49%
Law III — frequency measured, meaning is the reader's · source: http://www.ocdatascience.com/
Text Topology Fingerprint v1.0.0 · short · 2,535 chars · Law III
Six-layer pre-linguistic shape measurement. Deterministic. Same input, same output, always. Hash: 8238f81960b5c3f97c3bec4705d54f43...
◈ Signal Matrix
0.669
TTR
0.529
HAPAX
0.471
REP
0.106
BIGRAM
0.792
H2T
0.267
CPRT
1.574
SKEW
1.147
KURT
1.214
C/P
1.530
PENT
0.000
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 · long-form prose 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
3.2825
Character Entropy
Shannon entropy of character distribution.
Layer 1 — Character
'e' (238x)
Most Frequent
Highest-frequency character. Law V — common edge.
Layer 2 — Token
0.6685
Type-Token Ratio
Unique tokens / total tokens. Lexical diversity signal.
Layer 2 — Token
0.5292
Hapax Ratio
Tokens appearing exactly once. Law VI — uncommon edge.
Layer 6 — Document
0.7917
Hapax to Type
Hapax count / unique token count.
Layer 3 — Punctuation
1.2143
Comma/Period Ratio
Clause complexity per sentence.
Layer 3 — Punctuation
1.5302
Punct Entropy
Shannon entropy across punctuation types.
Layer 4 — Sentence
12
Sentence Count
Total detected sentences across all crawled pages.
Layer 4 — Sentence
1.5743
Skewness
Positive = long-tail. Negative = conversational.
Layer 5 — Paragraph
0.0000
Single Sent Ratio
High = web copy. Low = academic prose.
Layer 6 — Document
0.4708
Repetition Score
Tokens appearing more than once / total.
◈ Token Length Distribution
1-3
26%
4-6
31%
7-10
35%
11-15
7%
16-20
1%
21+
1%
◈ Density Gradient — TTR per Document Tenth
Front-loaded = abstract/preamble · Flat = consistent prose · Back-loaded = building complexity
◈ Lexical Richness Curve — Rolling Window TTR
0.580.94
Window=50 tokens · Step=25 · 13 data points
topology_fingerprint.py v1.0.0 · sha256: 8238f81960b5c3f9... · 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
0.1000
Schema props extracted / top semantic words.
nav ratio
1.0000
Nav URLs / total internal URLs.
content to structure ratio
0.0058
Total words / raw HTML bytes. Content density.
external tld diversity
0
Unique TLD count in outbound links.
self declaration coherence
0.2636
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: 1 · depth_1: 2 · depth_2: 0 · depth_3plus: 0
Internal URLs by path depth. Depth 0 = root.
Tech Stack · Security · Freshness SecurityLabel.MINIMAL · FreshnessLabel.UNKNOWN
Sitemap: ✗Robots.txt: ✗Schema.org: ✓Open Graph: ✓Canonical: ✓HTTPS: ✗HSTS: ✗CSP: ✗
Security
SecurityLabel.MINIMAL
Freshness
FreshnessLabel.UNKNOWN
Server
Squarespace
cmsSquarespace
web_serverSquarespace
analytics['Google Analytics', 'Google Tag Manager']
Ledger Appends 2 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
website
https://globaldataregistry.com/registry/schema/ledger/website ↗
Law V — Common Edge · Law VII — Torus · 2 ledger appends
Build: national-transit-v1.0.0 Spec: Root-LD v1.0 Status: LIVE Minted: 2026-05-17
ocdatascience.com · gdr-1a5ce2a6
ocdatascience.com is recorded in the Global Data Registry — open provenance infrastructure for the machine-readable web.
View the Registry →