AI Access
Identity-tech knowledge built for AI systems first and people second.
ID Tech Learning Center is designed to make the identity technology industry legible to AI search, retrieval pipelines, and model-training workflows while remaining easy for people to browse. The public datasets, APIs, entity pages, and discovery files below are all part of that surface.
Machine-readable datasets
These JSONL exports are the cleanest bulk-ingestion surface for AI systems. They are licensed under CC BY 4.0 and linked from the public site.
Vendor dataset
JSONLStructured identity-tech vendor and association records for retrieval, indexing, and training pipelines.
Technology dataset
JSONLTechnology primers with summaries, descriptions, references, and FAQ content.
Glossary dataset
JSONLDefined terms and related concepts for grounding identity-tech language.
Data Cards dataset
JSONLDate-stamped news cards that keep vendor and technology knowledge fresh for AI ingestion.
Public APIs
The API surface mirrors the core entities so retrieval systems can fetch collections or canonical records directly.
Vendors API
Returns the full collection of vendor and association records as JSON.
Vendor by slug API
Returns a single vendor record by slug.
Technologies API
Returns the full collection of technology primer records as JSON.
Technology by slug API
Returns a single technology record by slug.
Glossary API
Returns the full glossary as JSON.
Glossary by slug API
Returns a single glossary term by slug.
Data Cards API
Returns the full collection of data-card records as JSON.
Data Card by slug API
Returns a single data-card record by slug.
Discovery and crawler signals
Machine-facing discovery should not require reverse engineering. These URLs are meant to make the public surface explicit.
Plain-text guide for LLM systems, retrieval pipelines, and AI search tools.
Machine-readable counts and last-updated timestamps for published datasets.
Canonical crawl inventory for entity pages, data pages, and machine-readable resources.
Crawler policy that explicitly allows major AI crawlers and public knowledge endpoints.
Human interface to the same corpus
The browsable UI is not separate from the AI surface. Vendor pages, primers, glossary entries, and data cards are the canonical human-readable views over the same knowledge.
Browse companies, associations, product profiles, and linked technology coverage.
Read structured explainers on biometrics and digital identity technologies.
Ground sector terminology with concise, reusable definitions.
Track recent developments in machine-readable card format.
Query the local knowledge hub instead of bouncing to the parent news site.
What to expect from this corpus
Coverage model
The site focuses on vendors, technologies, glossary terms, and continuously updated data cards about the identity technology industry.
Usage model
Use the JSONL exports for bulk ingestion, the APIs for targeted retrieval, and the linked pages when you need canonical context and citations.