TextKit API

Name: TextKit API API
Brand: TextKit API
Availability: InStock

✓ Official Vendor SpecAI/MLLanguage ModelsapiKey9 EndpointsREST

For Agents

Programmatically health check, detect emotion in text. Covers 9 operations with apiKey authentication.

Use for: I need to health check, I want to detect emotion in text, Search for detect sentiment in text, Find all detect language of text

Connect the TextKit API to your agent

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

Install Jentic One Beta (Self-Hosted)

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

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 TextKit API API.

Health check

Detect emotion in text

Integrate TextKit API into automated workflows

Query and filter TextKit API records by parameters

Monitor TextKit API operational status and events

GET STARTED

Start building with TextKit API API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use TextKit API API for, with concrete tasks.

★ AI and Machine Learning Operations

Use the TextKit API to perform ai ml operations programmatically. The API provides 9 endpoints covering core functionality including health check, detect emotion in text, detect sentiment in text.

Call GET /ping to health check

Automated Detection Management

Automate detection operations by combining multiple TextKit API endpoints. Agents can detect emotion in text and then detect sentiment in text in a single workflow.

Call GET /detect/emotion to detect emotion in text, then verify the result

AI Agent Integration via Jentic

AI agents discover and call TextKit API endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle apiKey tokens manually.

Search Jentic for 'health check', load the operation schema, and execute with Jentic-managed credentials

Key Endpoints

9 endpoints — textkit is a text analysis api offering natural language processing endpoints including emotion detection, sentiment analysis, language detection, gender prediction, gibberish detection, name recognition, sentence similarity, and word cloud generation.

METHOD

PATH

DESCRIPTION

GET

/ping

Health check

GET

/detect/emotion

Detect emotion in text

GET

/detect/sentiment

Detect sentiment in text

GET

/detect/language

Detect language of text

GET

/detect/gender

Detect gender from name

GET

/detect/gibberish

Detect gibberish in text

GET

/detect/names

Detect names in text

GET

/detect/similarity

Compute sentence similarity

GET

/ping

Health check

GET

/detect/emotion

Detect emotion in text

GET

/detect/sentiment

Detect sentiment in text

GET

/detect/language

Detect language of text

GET

/detect/gender

Detect gender from name

GET

Why though Jentic?

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

Credential isolation

TextKit API apiKey credentials are stored encrypted in the Jentic vault (MAXsystem). Agents receive scoped access tokens — raw secrets never enter the agent context.

Intent-based discovery

Agents search by intent (e.g., 'health check') and Jentic returns the matching TextKit API operation with its input schema, so the agent can call the right endpoint without browsing docs.

Time to first call

Direct TextKit API integration: 1-3 days for auth handling, response parsing, and error cases. Through Jentic: under 1 hour — search, load schema, execute.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

Openai

Alternative ai ml API

Choose Openai when you need a different approach to ai ml operations

Alternative

Anthropic

Alternative ai ml API

Choose Anthropic when you need a different approach to ai ml operations

Complementary

Cohere

Complementary ai ml API

Choose Cohere when you need a complementary approach to ai ml operations

Complementary

Huggingface

Complementary ai ml API

Choose Huggingface when you need a complementary approach to ai ml operations

FAQs

Specific to using TextKit API API through Jentic.

What authentication does the TextKit API use?

The TextKit API uses an API key passed in the `X-API-Key` header. Through Jentic, these credentials are stored encrypted in the MAXsystem vault and injected at execution time, so raw secrets never enter the agent context.

Can I health check with the TextKit API?

Yes. Use the GET /ping endpoint. The API returns structured JSON responses that agents can parse and act on directly.

What are the rate limits for the TextKit API?

Rate limits are not specified in the OpenAPI spec. Check the vendor documentation for current limits. Through Jentic, rate limiting is handled automatically with retry logic built into the execution layer.

How do I health check through Jentic?

Install the Jentic SDK with pip install jentic, authenticate at https://app.jentic.com/sign-up, then search for 'health check'. Jentic returns the matching TextKit API operation with its input schema. Load the schema and execute the call — credentials are injected automatically.

How many endpoints does the TextKit API have?

The TextKit API exposes 9 endpoints covering detection, generation, utility operations.