40 services carry this tag in their source record. Tags come from the provider, not from us — a tag is a claim about what the service does, not proof that it does it well.
Bulk extract organizations: up to 20 urls in one call, processed concurrently, results in input order with a per-item error field and a failure count. Same answer per item as the single endpoint. Batch enrichment for age...
Bulk extract places: up to 20 urls in one call, processed concurrently, results in input order with a per-item error field and a failure count. Same answer per item as the single endpoint. Batch enrichment for agents tha...
Bulk extract dates: up to 20 urls in one call, processed concurrently, results in input order with a per-item error field and a failure count. Same answer per item as the single endpoint. Batch enrichment for agents that...
Bulk extract money: up to 20 urls in one call, processed concurrently, results in input order with a per-item error field and a failure count. Same answer per item as the single endpoint. Batch enrichment for agents that...
Bulk extract percentages: up to 20 urls in one call, processed concurrently, results in input order with a per-item error field and a failure count. Same answer per item as the single endpoint. Batch enrichment for agent...
Bulk extract product versions: up to 20 urls in one call, processed concurrently, results in input order with a per-item error field and a failure count. Same answer per item as the single endpoint. Batch enrichment for...
Bulk extract acronyms: up to 20 urls in one call, processed concurrently, results in input order with a per-item error field and a failure count. Same answer per item as the single endpoint. Batch enrichment for agents t...
Extract people mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important. $...
Extract organizations mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything impor...
Extract places mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important. $...
Extract dates mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important. $0...
Extract money mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important. $0...
Extract percentages mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything importa...
Extract product versions mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything im...
Extract acronyms mentioned on a page: heuristic (pattern-based, no ML) recognition over the readable text, returning the distinct mentions with counts. Fast entity lists for tagging and triage; verify anything important....
Named-entity candidates from a page without an LLM: capitalised multi-word phrases ranked by frequency, split into likely people (two or three capitalised words), organisations (with Inc, Ltd, University, Corp, Foundatio...