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Adaptive Named Entity Recognition (NER)

Adaptive Named Entity Recognition (NER)

A machine learning API that automatically identifies and extracts custom entities like company names and product features from unstructured text

Developer Tools·Launched Apr 2026·0 upvotes·rapidapi.com
Upvote0Visit Website
ALIVEverified Jul 14, 2026 · HTTP 200
CohortClass of 2026

What it is

A machine learning API that automatically identifies and extracts custom entities like company names and product features from unstructured text. Leverages zero-shot learning for high accuracy without extensive training data, processing up to 150k tokens cost-efficiently. Test the capability instantly in an interactive playground without registration.

HTTP liveness

10 probes since Jun 16
Jun 16Jul 14
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)

Observed events

probes · press · GitHub
  1. Jun 16, 2026
    First probe — live
    Alive · 200 OK

Discussion 0 comments

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Pulse Indexobserved activity
10 probes0 pressGitHub –Tranco –

Not enough observed signals for a Pulse Index (needs 2+ signal families).

Cohort survival · Class of 2026weekly

567 products launched in 2026 · 100% still active

567 active0 sunset
Still active
100%
Median lifespan
4.9y