Geneea Natural Language Processing

Name: Geneea Natural Language Processing API
Brand: Geneea Natural Language Processing
Availability: InStock

★ Only Publicly Available OpenAPI DocumentAI/MLMl Inferencenone12 EndpointsREST

For Agents

Run NLP tasks — entity extraction, sentiment, topic detection, lemmatization, and spelling correction — on text in English and Central European languages.

Install Jentic One Beta

Connect the Geneea Natural Language Processing to your agent

Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Geneea Natural Language Processing, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.

Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.

Step 1: Jentic One Host machine

# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh

Step 2: Agent machine

# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register       # connects your agent to your Jentic One instance

Jentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.

Capabilities

What an agent can do with Geneea Natural Language Processing API.

Extract named entities (people, organisations, places) from text via /s1/entities

Score document-level sentiment with /s1/sentiment for review and feedback analysis

Detect dominant topics in a document through /s1/topic for tagging and routing

GET STARTED

Start building with Geneea Natural Language Processing API

Explore with Jentic

View OpenAPI Document

Geneea provides a multilingual natural language processing API focused on Czech and other Central European languages alongside English. The 12 endpoints cover spelling and grammar correction, named entity extraction, lemmatization, sentiment analysis, and topic detection through the /s1 namespace, plus account info and service status. It is well-suited for content moderation, search indexing, and analytics over text written in languages where global LLM coverage is uneven. The OpenAPI spec was sourced from APIs.guru and may lag the live service in minor details.

Use Cases

Patterns agents use Geneea Natural Language Processing API for, with concrete tasks.

★ Multilingual Sentiment Over Customer Feedback

Score sentiment on customer reviews and survey responses in Czech, Slovak, German, and English. The agent posts each text to /s1/sentiment and routes negative scores to a support queue. Captures churn signal in markets where English-only NLP underperforms.

POST /s1/sentiment with the review text, read the score and label, and route any negative score below -0.3 to the support queue

Named Entity Extraction For News Indexing

Extract entities from incoming articles to build per-entity feeds (people, organisations, places). The agent posts to /s1/entities, indexes the canonical entity ids, and links articles into topic pages. Supports newsroom search and recommendation systems.

POST /s1/entities with the article body, then upsert each returned entity (type, text, lemma) into the search index keyed by article id

Spelling Correction For User-Submitted Content

Run inbound user text through Geneea's correction service before it hits a search index or downstream model. The agent posts each blob to /s1/correction, reads the corrected version, and stores both the original and the cleaned form. Improves search recall and downstream ML quality.

POST /s1/correction with the raw text and store the corrected output alongside the original; index only the corrected version

Agent-Driven NLP Workflows Through Jentic

AI agents discover Geneea via Jentic when they need NLP for Central European text without standing up models locally. Jentic returns the right operation per intent and isolates auth at execution time. Useful for content-moderation and multilingual analytics agents.

Use Jentic search query 'extract entities from text' to load the geneea_extract_entities tool and execute with the document text

Key Endpoints

12 endpoints — geneea provides a multilingual natural language processing api focused on czech and other central european languages alongside english.

METHOD

PATH

DESCRIPTION

POST

/s1/entities

Extract named entities from text

POST

/s1/sentiment

Score document sentiment

POST

/s1/topic

Detect dominant topics in text

POST

/s1/correction

Correct spelling and grammar

POST

/s1/lemmatize

Lemmatize words to base forms

GET

/account

Read account info and quota

GET

/status

Service status check

POST

/s1/entities

Extract named entities from text

POST

/s1/sentiment

Score document sentiment

POST

/s1/topic

Detect dominant topics in text

POST

/s1/correction

Correct spelling and grammar

POST

/s1/lemmatize

Lemmatize words to base forms

Why Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

Any Geneea API credential is stored encrypted in the Jentic vault and injected per request at execution time. Agents call operations with a scoped execution token; raw credentials never enter the agent context.

Intent-based discovery

Agents search by intent (e.g. 'extract entities from text') and Jentic returns the right Geneea operation with its input schema, distinguishing /s1/entities from /s1/topic without manual disambiguation.

Time to first call

Direct Geneea integration: half a day per task to map the endpoint, model the response, and wire auth. Through Jentic: under 30 minutes — search, load schema, execute.

FAQs

Specific to using Geneea Natural Language Processing API through Jentic.

What authentication does the Geneea API use?

The OpenAPI bundled in this catalogue does not declare a security scheme; the live service uses an API key as documented at help.geneea.com. Through Jentic any required header or query credential is stored encrypted in the vault and injected at execution time.

Can I extract named entities with the Geneea API?

Yes. POST /s1/entities with the document text and the response includes detected entities with type (person, organisation, location), surface form, and lemma. Suitable for indexing news, support tickets, or research papers.

Does Geneea support languages other than English?

Yes. Geneea's strength is Central European coverage — Czech, Slovak, Polish, German, plus English. The /s1 endpoints accept a language hint for content where auto-detection would be ambiguous.

What are the rate limits for the Geneea API?

The OpenAPI spec does not declare rate-limit headers — limits are tied to your Geneea plan and visible at /account. Back off on HTTP 429 and check /account before launching large batch jobs.

Can I check Geneea's status before a batch run?

Yes. GET /status returns the live service status. Run it as a preflight check before launching any large /s1 batch so you fail fast on planned outages.

How do I run NLP through Jentic?

Install with pip install jentic, search 'extract entities from text', load the schema for the geneea_extract_entities operation, and execute with your document text. Jentic handles credential injection if required by the live API.

Geneea Natural Language Processing

Connect the Geneea Natural Language Processing to your agent

Capabilities

Start building with Geneea Natural Language Processing API

Use Cases

Key Endpoints

Why Jentic?

Related APIs

FAQs