People
8Node types
Contacts · roles · positions · interviews
The Product Graph
Click any node. Focus its neighborhood.
A slice of the production graph, extracted 12 Aug 2026. 18,586 nodes. 22,903 edges. The same substrate APEX traverses: every node typed and every link checked.
250K+ products2,546 categories2.4M+ reviews99 node types431 edge types
Production slice · extracted 12 Aug 2026
18,586 nodes and 22,903 edges of the real graph — vendors, products, reviews, categories, and the links between them.
~7 MB · click any node, then show 1, 2, or 3 hops — loads on demand so this page stays fast
The 99 node types
Ten categories · every node typed.
The graph is heterogeneous · 99 distinct node types organized into ten categories. Each node type has its own canonical fields; the database checks the links between them.
Companies
8Node types
Companies · teams · workspaces · segments · locations · countries · industries
Products
6Node types
Products · categories · features · releases · reviews
Revenue
12Node types
Deals · evaluations · orders · pipelines · subscriptions · contracts · campaigns · cadences · battlecards · assessments
Finance
7Node types
Transactions · postings · ledgers · periods · budgets · forecasts · filings
Operations
12Node types
Ideas · requirements · issues · projects · roadmaps · cycles · objectives · capabilities · processes
Comms
4Node types
Communications · chats · channels · events
Content
12Node types
Documents · discussions · articles · snippets · sheets · slides · notebooks · canvases · forms · files · folders · transcripts
Data
14Node types
Datasets · catalogs · connectors · transformations · prompts · agents · runs · models · experiments · metrics · signals · dashboards
Systems
16Node types
Repositories · branches · commits · credentials · settings · activities · devices · alerts · applications · policies · services
The relationships
99 node types. 431 edge types. One typed property graph.
A node catalog is table stakes. The defensible part is the typed edges between them — expressed in two layers: hard foreign keys that the schema enforces, and a dynamic edge graph that captures the semantic relationships a column never could.
Layer 1 · Hard relationships
Foreign keys the schema enforces.
Deterministic, single-valued, and resolved at write time. The 2,111 declared links between tables are these edges. Four connect to canonical nodes:
company_fkbelongs to / is about a companyproduct_fkis about a productcontact_fkinvolves a personreview_fkcites a review
The five taxonomy FKs are special — they don't store an id and a name, they denormalize the entire ancestry, so any query filters at any level without a join:
Category
market_categoryfunctional_categoryproduct_categoryIndustry
industry_sectorindustry_groupindustrysub_industryCountry
regionsub_regioncountryRole
role_modulerole_functionrole_arearole_focusProduct
product_categorymodulecapabilityfeatureLayer 2 · Dynamic relationships
431 typed edges. Any node to any node.
A single typed edge table makes this a true property graph — every relationship is a first-class, directed, semantic edge with 1:N multiplicity. The hard FKs are copied into the edge table by a refresh job, and the full catalog is organized into ten relationship categories — each with its own icon in the workspace:
Composition
part-of / made-offeature_ofcapability_ofincludesin_catalogHierarchy
parent / childmember_ofsubsidiary_ofteam_ofchild_ofClassification
tagged / categorizedtaggedmentionsin_categoryin_industryAssociation
related / similarrelated_tocompetes_withalternative_tosimilar_toProvenance
sourced-from / evidenceauthored_byacquiredderived_fromevidence_forOwnership
owns / managesleadsowned_byassigned_togrants_access_toDependency
depends-on / blocksintegrates_withdepends_onblocksrequirement_forTransaction
pays / invoicesowns_dealpaid_bytransaction_forcontract_withLifecycle
replaces / on-roadmapreplaceson_roadmapin_releaseprecedesEngagement
works-at / reviewed-byworks_atinterview_withparticipant_ofenrollsEach category shows a representative slice — the full catalog is 431 canonical edge types across these ten kinds, CHECK-constrained in the database so an edge is never untyped.
Typed nodes, typed edges, denormalized hierarchies — APEX can follow real relationships between records, with vector search as a helper rather than the whole answer. This is what “graph, not vector RAG” actually means.
How the graph is built
From raw signal to typed node in four stages.
The same pipeline that built the graph on this page: 2,000+ source feeds, resolved to nodes, FK-linked, and provenance-stamped. New signals are still collected every day; scoring and matching them to nodes resume when the current pause on automated jobs ends.
G2TrustRadiusGetAppCapterraSoftware AdviceProduct HuntPeerSpotVendor websitesTechnical documentationChangelogsAPI docsStatus pagesPress releasesBlog feedsInvestor relations pagesTechCrunchBusinessWirePRNewswireGlobeNewswireReutersBloombergSEC EDGAREU Commission filingsUSPTO PatentsWIPO IP databaseCrunchbaseCB InsightsFedRAMP marketplaceFINRA filingsLinkedIn jobsGreenhouse boardsLever boardsWorkable boardsIndeedAngelList TalentGlassdoorSalesforce AppExchangeHubSpot EcosystemSlack App DirectoryAtlassian MarketplaceShopify App StoreAWS MarketplaceAzure MarketplaceGoogle Cloud MarketplaceZoomInfo dataReddit (r/SaaS, r/devops, r/cscareers)Hacker NewsTwitter / XLinkedIn PulseIndustry RSS aggregatorVertical newslettersSubstack techSOC 2 attestationsISO 27001 registerHIPAA disclosuresEU AI Act Article 50 disclosuresG2TrustRadiusGetAppCapterraSoftware AdviceProduct HuntPeerSpotVendor websitesTechnical documentationChangelogsAPI docsStatus pagesPress releasesBlog feedsInvestor relations pagesTechCrunchBusinessWirePRNewswireGlobeNewswireReutersBloombergSEC EDGAREU Commission filingsUSPTO PatentsWIPO IP databaseCrunchbaseCB InsightsFedRAMP marketplaceFINRA filingsLinkedIn jobsGreenhouse boardsLever boardsWorkable boardsIndeedAngelList TalentGlassdoorSalesforce AppExchangeHubSpot EcosystemSlack App DirectoryAtlassian MarketplaceShopify App StoreAWS MarketplaceAzure MarketplaceGoogle Cloud MarketplaceZoomInfo dataReddit (r/SaaS, r/devops, r/cscareers)Hacker NewsTwitter / XLinkedIn PulseIndustry RSS aggregatorVertical newslettersSubstack techSOC 2 attestationsISO 27001 registerHIPAA disclosuresEU AI Act Article 50 disclosures
Walk the graph from your own product.
30 minutes. Bring a question. We'll start from your product, follow it to your market, competitors, and accounts, and show where every value came from.
