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, FAQ content, and provenance.
Glossary dataset
JSONLDefined terms and related concepts for grounding identity-tech language and terminology.
Data Cards dataset
JSONLDate-stamped news cards that keep vendor and technology knowledge fresh for AI ingestion and retrieval.
All Learning Center datasets are also mirrored to the Hugging Face Hub for convenient ingestion in ML and retrieval workflows.
huggingface.co/datasets/IDTech/learning-centerPublic APIs
The API surface mirrors the core entities so retrieval systems can fetch collections or canonical records directly.
Vendor API
Returns the full vendors collection as JSON.
Vendor record example API
Returns a single vendor record record by slug.
Technology API
Returns the full technologies collection as JSON.
Technology record example API
Returns a single technology record record by slug.
Glossary API
Returns the full glossary collection as JSON.
Glossary record example API
Returns a single glossary record record by slug.
Data Cards API
Returns the full cards collection as JSON.
Data Card example 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, schema versions, and last-updated timestamps for published datasets.
Human-friendly browser for raw datasets, schema docs, and preview records.
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.