Supercharge your projects with Titan's CUTTING-EDGE NLP tools for developers

Titan's integrated suite of NLP tools help you simplify natural language processing tasks and enhance your applications

FEATURES

Titan is designed to understand and analyze textual data related to events, extracting relevant information such as NER, Sentiment Analysis, event descriptions, participants, and locations, enabling automated event comprehension and facilitating decision-making based on event-specific insights.

Event Extraction

Seamlessly categorize text data
with high accuracy.

Text extraction automatically identifies and extracts structured information about events from unstructured or semi-structured data. The goal of event extraction is to identify specific events, the entities involved, and the relationships between those entities.

Event Visualization

Intuitively and easily understand representations of event data.
Text visualization refers to visual representations of events extracted from unstructured or semi-structured data. Event visualization aims to make it easy for humans to interpret and analyze information visually.

Event Compression

Capture the essential aspects of events while reducing redundancy.

Event compression refers to summarizing or reducing a sequence of events into a more compact and concise representation with minimal information loss.

Event Tagging

Assign grammatical labels to words or phrases within a sentence.

Event tagging automatically identifies and labels text, events, and their attributes in natural language data. Event tagging aims to identify the various components of events, such as the actors, actions, and so on, and assign specific labels or tags to each component.

Event Cognition

Enable more advanced search and retrieval of information,

Event cognition is the ability to perceive, understand, and reason about events. It involves identifying and representing events, including their causes, effects, and relationships to other events.

Event Analysis

Classify named entities and extract meaningful insights from textual data.

Event analysis encompasses various techniques. Sentiment analysis focuses on determining the emotional tone associated with events. At the same time, NER aims to identify and classify named entities such as people, organizations, locations, and others.

Flexible Service Plans and Pricing

We've partnered with RapidAPI, the leading API marketplace for software developers, to simplify the implementation of the Titan API service with your software.

Try Titan API basic plan for free. A Credit Card is not needed.
Require a different plan? Switch between plans and pay-as-you-go.
No longer use Titan API? Cancel your plan at anytime. You're never locked in.

FREE Personal Access

Requests: 100/ month
(Hard Limit)
Rate Limit:
5 requests/minute
Up to 10k Characters/ Request
Event Components
Sentiment Analysis
Named Entity Recognition
Content Summary
Text Reduction
Parts Of Speech

$ 19 Developer Access

Requests : 1000 / month
(+ $0.02 / additional request)
Rate Limit:
20 requests/minute
Up to 10k Characters/ Request
Event Components
Sentiment Analysis
Named Entity Recognition
Content Summary
Text Reduction
Parts Of Speech

$ 99 SMB Access

Requests : 10,000 / month
(+ $0.01 / additional request)
Rate Limit:
50 requests/minute
Up to 10k Characters/ Request
Event Components
Sentiment Analysis
Named Entity Recognition
Content Summary
Text Reduction
Parts Of Speech
E-mail Support

$ 499 Enterprise Access

Requests : 100,000 / month
(+ $0.005 / additional request)
Rate Limit:
100 requests/minute
Up to 10k Characters/ Request
Event Components
Sentiment Analysis
Named Entity Recognition
Content Summary
Text Reduction
Parts Of Speech
E-mail and Phone Support

Need a custom plan?

Frequently Asked Questions

Do you require a credit card?

A credit card is required only if the plan you choose is a paid plan or has a quota with an overage fee. A credit card is not needed for the free plan.

Is my payment information secure?

Credit cards are processed through a RapidAPI PCI-compliant banking partner.

When will I be billed?

Your credit card is charged upon subscription to a paid plan and at the next recurring interval.

What if I exceed my plan limits?

Depending on your plan’s specification, you will either incur overage charges or be suspended until next billing cycle.

How are refunds handled?

For refund requests, please contact support@rapidapi.com

How do I unsubscribe from a plan?

If you would no longer like to use the Titan API, you can unsubscribe from the plan at any time by clicking the “unsubscribe” button under the Billing section of the RapidAPI Dashboard.

How do I get started with building applications?

Please review the Titan API reference guide.

How do I submit my feedback?

Fill in the Titan evaluation form to send in your questions and comments. We will address your inquiries as soon as possible.

Documentation

Titan API reference guide (v1.0.1)

1. Introduction

Titan is an advanced AI platform that seamlessly integrates multiple AI engines and algorithms, offering a powerful solution for simulating intelligent behavior through the Titan API.

With the Titan API, developers gain access to a wide range of natural language capabilities, enabling them to enhance their applications with learning, comprehension, and action functionalities.

By leveraging the Titan API, developers can build a variety of applications such as knowledge mining, semantic search, question answering, conversational AI agents, digital workers, digital twins, intelligent automation, prediction engines, fraud detection engines, and more.

2. Getting started

Integrating the Titan API into your development environment empowers your applications to effortlessly understand and respond to natural language queries and instructions.

To make successful requests to the Titan API, you'll need a valid API key. Register for the API below to obtain your API key instantly.

3. Registration

The Titan API is available as a subscription service.

We've partnered with RapidAPI, the leading API marketplace for software developers, to simplify the implementation of the Titan API service with your software.

Please register to request your API key.

Once you complete the registration form, RapidAPI will provide you with an X-RapidAPI-Key, which you'll use to authenticate your API calls. With your API key in hand, you can immediately start incorporating Titan cognitive services into your web, mobile, and desktop applications.

4. Documentation

4.1 Definition

The Titan API functions by capturing the text you submit through the API and analyzing it using a Titan cognitive Agent.

Titan NLP Services include the following capabilities:

Parts Of Speech Identifies different word categories in a language, such as nouns, verbs, adjectives, adverbs, pronouns, prepositions, conjunctions, and interjections.

Event Components: Extracts various elements that make up an event, such as the date, time, location, actors, and activities involved.

Content Summary: Provides a concise overview or synopsis of the main points or ideas in a text.

Text Reduction: Offers a technique to summarize or condense text by removing redundant or irrelevant information.

Named Entity Recognition: Named Entity Recognition: Identifies specific types of words or phrases that refer to particular entities or concepts, such as people, places, organizations, or products.

Sentiment Analysis: A technique for analyzing a text's emotional tone or attitude.

4.2 Request

4.2.1 Operation

The Titan API follows REST principles, allowing you to access data resources through standard HTTPS requests in UTF-8 format to an API endpoint. The following HTTP verb is used by the Titan NLU API.

METHOD	ACTION
PUT	Submits text to be analyzed by Titan Agent. Titan Agent responds in the form of JSON

4.2.2 Endpoints

The Titan API endpoints always return responses in JSON metadata format and can be accessed through the base address:

https://nlp-suite.p.rapidapi.com/

To consume the Titan API endpoints, you need to authenticate your request using an X-RapidAPI-Key.

Please register to obtain your API key.

The API endpoints for accessing Titan NLP services may vary based on your subscription plan. Therefore, ensure that you use the correct API endpoints.

4.2.2.1 Sentiment Analysis

The Sentiment Analysis endpoint examines the emotional tone or attitude expressed in a text.

SUBSCRIPTION PLANS	SENTIMENT ANALYSIS ENDPOINTS
BASIC	/Basic/Sentiments
PRO	/Pro/Sentiments
ULTRA	/Ultra/Sentiments
MEGA	/Mega/Sentiments

4.2.2.2 Parts Of Speech

The POS endpoint identifies different word categories in a language, such as nouns, verbs, adjectives, adverbs, pronouns, prepositions, conjunctions, and interjections.

SUBSCRIPTION PLANS	POS ENDPOINTS
BASIC	/Basic/POS
PRO	/Pro/POS
ULTRA	/Ultra/POS
MEGA	/Mega/POS

4.2.2.3 Event Components

The Event Components endpoint extracts various elements that make up an event, such as the date, time, location, actors, and activities involved.

SUBSCRIPTION PLANS	EVENT COMPONENTS ENDPOINTS
BASIC	/Basic/Components
PRO	/Pro/Components
ULTRA	/Ultra/Components
MEGA	/Mega/Components

4.2.2.4 Content Summary

The Content Summary endpoint offers a concise overview or synopsis of the main points or ideas in a text.

SUBSCRIPTION PLANS	CONTENT SUMMARY ENDPOINTS
BASIC	/Basic/Summary
PRO	/Pro/Summary
ULTRA	/Ultra/Summary
MEGA	/Mega/Summary

4.2.2.5 Text Reduction

The Text Reduction endpoint condenses text by removing redundant or irrelevant information.

SUBSCRIPTION PLANS	TEXT REDUCTION ENDPOINTS
BASIC	/Basic/Reduction
PRO	/Pro/Reduction
ULTRA	/Ultra/Reduction
MEGA	/Mega/Reduction

4.2.2.6 Named Entity Recognition

The Named Entity endpoint associates different word categories in a language, such as nouns, verbs, adjectives, adverbs, pronouns, prepositions, conjunctions, and interjections.

SUBSCRIPTION PLANS	NER ENDPOINTS
BASIC	/Basic/NER
PRO	/Pro/NER
ULTRA	/Ultra/NER
MEGA	/Mega/NER

4.2.3 Headers

We require the content-type header to be set to application/json.

To accomplish this, you must include in the request header: "content-type": "application/json"

4.2.4 Authentication

We employ API keys for application authentication. Developers should focus on building internal applications that only require access to a single user's data.

Authentication is required for all requests made to the Titan API. To accomplish this, a valid API key must be included in the request header (X-RapidAPI-key). Your assigned API key follows this format:

"x-rapidapi-key": "a8e009619xxxxxxxxxx4ea2840f9c19"

4.2.5 Objects

During API requests you will frequently encounter the following JSON object

OBJECTS	DESCRIPTION	EXAMPLE
content	Enter your content	"What color is the sun?"

4.3 Response

All Titan API calls return a JSON file containing a header block and a service block.

The header block objects are described below:

4.3.1 JSON Header

OBJECTS	DESCRIPTION	EXAMPLE
service	Service Name	ner
source	Source of the service	TitanVX Atlas NLP
url	URL of the service provider	https://www.titanvx.com
core_version	Version of the platform core	C10A
agent_version	Version of the agent handling the service request	C10A.2
model_version	Version of the NLP model used	C10 06.03.2023
cloud_version	Version of the cloud service hosting the endpoint	C10B
user_key	Returned string key originally sent by the user in the request JSON	my_key_23414

4.3.2 Sentiment Analysis

OBJECTS	DESCRIPTION	EXAMPLE
header	JSON Header object	JSON Header
sentences []	Array of Sentiment Sentence objects	Sentiment Sentence

Sentiment Sentence

OBJECTS	DESCRIPTION	EXAMPLE
sentiment	Weighted sentiment of the sentence (-1:negative, 1:positive)	0.973151
text	Text string of the sentence	American Gangster is a 2007 American biographical...

4.3.3 Parts Of Speech

OBJECTS	DESCRIPTION	EXAMPLE
header	JSON Header object	JSON Header
sentences []	Array of PoS Sentence objects	POS Sentence

POS Sentence

OBJECTS	DESCRIPTION	EXAMPLE
text	Text string of the sentence	American Gangster is a 2007 American biographical...
tokens []	Array of Token PoS objects	Token PoS

Token POS

OBJECTS	DESCRIPTION	EXAMPLE
text	Token text	American
lemma	Token lemma	American
part_of_speech	Token part of speech tag (see POS Table)	NNP
index	Token zero-based index in the document	00
depth	Token zero-based depth in the dependency tree	2
parent	Text of parent of this token	Gangster
parent_index	Zero-based index of the parent of this token	1
dependency	The dependency part label of this token (see Dependency Table)	COMPOUND
ner_type	The entity type of this token (see NER Table)	Person

4.3.4 Event Components

OBJECTS	DESCRIPTION	EXAMPLE
header	JSON Header object	JSON Header
sentences []	Array of Component Sentence objects	Component Sentence

Component Sentence

OBJECTS	DESCRIPTION	EXAMPLE
text	Text string of the sentence	American Gangster is a 2007 American biographical...
components []	Array of component objects	Component

Component

OBJECTS	DESCRIPTION	EXAMPLE
type	Component type (see Components Table)	subject
text	Token text	American Gangster
start_token	Zero-based index of starting token of the component	00
end_token	Zero-based index of ending token of the component	1
parent_index	Zero-based index of parent token of component	2
tense	Tense of the verb if the component type is a verb	Present perfect
passive	True when the verb component is in passive tense; false otherwise	false
negate	True when the verb is negated; false otherwise	false

4.3.5 Content Summary

OBJECTS	DESCRIPTION	EXAMPLE
header	JSON Header object	JSON Header
text	Text string of the summarized document	American Gangster is a 2007...

4.3.6 Text Reduction

OBJECTS	DESCRIPTION	EXAMPLE
header	JSON Header object	JSON Header
sentences []	Array of Reduction Sentence objects	Reduction Sentence

Reduction Sentence

OBJECTS	DESCRIPTION	EXAMPLE
index	Index of the reduced sentence in the document	1
text	Reduced text of the sentence	American Gangster is a 2007...

4.3.7 Named Entity Recognition

OBJECTS	DESCRIPTION	EXAMPLE
header	JSON Header object	JSON Header
entities []	Array of Named Entity objects	Named Entity

Named Entity

OBJECTS	DESCRIPTION	EXAMPLE
name	Entity name	Frank Lucas
type	Entity type (see Dependency Table)	Person
metadata []	Array of Entity MD objects	Miscellaneous

4.3.8 Appendix of Tables

Appendix of tables describing different types and labels returned by the NLP services.

POS Table

PART OF SPEECH TAGS
TYPE	DESCRIPTION
ADJ	Adjective
ADP	Adposition
ADV	Adverb
AUX	Auxiliary
CONJ	Conjunction
CCONJ	Coordinating conjunction
DET	Determiner
INTJ	Interjection
NOUN	Noun
NUM	Numeral
PART	Particle
PRON	Pronoun
PROPN	Proper noun
PUNCT	Punctuation
SCONJ	Subordinating conjunction
SYM	Symbol
VERB	Verb
X	Other
EOL	End of line
SPACE	Space
PERIOD	Punctuation mark, sentence closer
COMMA	Punctuation mark, comma
LRB	Left round bracket
RRB	Right round bracket
LEFT_QUOTE	Opening quotation mark
RINGHT_QUOTE	Closing quotation mark
APOSTROPHE	Closing quotation mark
COLON	Punctuation mark, colon or ellipsis
DOLLAR	Symbol currency
HASH	Symbol number sign
AFX	Affix
CC	Conjunction, coordinating
CD	Cardinal number
DT	Determiner
EX	Existential there
FW	Foreign word
HYPH	Punctuation mark, hyphen
IN	Conjunction, subordinating or preposition
JJ	Adjective (English), other noun-modifier (Chinese)
JJR	Adjective comparative
PRP_D	Pronoun possessive
JJS	Adjective superlative
LS	List item marker
MD	Verb modal auxiliary
NIL	Missing tag
NN	Noun singular or mass
NNP	Noun proper singular
NNPS	Noun proper plural
NNS	Noun plural
NN	Noun singular or mass
PDT	Predeterminer
POS	Possessive ending
PRP	Pronoun personal
PRP_D	Pronoun possessive
RB	Adverb
RBR	Adverb comparative
RBS	Adverb superlative
RP	Adverb particle
TO	Infinitival to
UH	Interjection
VB	Verb base form
VBD	Verb past tense
VBG	Verb gerund or present participl
VBN	Verb past participle
VBP	Verb non-3rd person singular present
VBZ	Verb 3rd person singular present
WDT	Wh-determiner
WP	Wh-pronoun, personal
WP_DOLLAR	Wh-pronoun possessive
WRB	Wh-adverb
SP	Space (English), sentence-final particle (Chinese)
ADD	Email
NFP	Superfluous punctuation
GW	Additional word in multi-word expression
XX	Unknown
BES	Auxiliary be
HVS	Forms of have
_SP	Whitespace 76

Dependency Table

DEPENDENCY TREE LABELS
LABEL	DESCRIPTION
ROOT	Root
PUNCT	Adposition
INTJ	Interjection
MARK	Marker
PARATAXIS	Parataxis
PRECONJ	Pre-correlative conjunction
CC	Coordinating conjunction
CONJ	Conjunct
NEG	Negation modifier
ADVMOD	Adverbial modifier
COMPOUND	Nominal/Cardinal compound
NMOD	Modifier of nominal
PREP	Prepositional modifier
HYPH	Hyphen
EXPL	Expletive
DEP	Unclassified dependent
QUANTMOD	Modifier of quantifier
POBJ	Object of prepositio
PREDET	Determiner
DET	Determiner
NUMMOD	Numeric modifier
NPMOD	Noun phrase as adverbial modifier
AMOD	Adjectival modifier
POSSESSIVE	Possessive modifier
CASE	Case marking
POSS	Possession modifier
ACL	Clausal modifier of noun (adjectival clause)
RELCL	Relative clause modifier
APPOS	Appositional modifier
NSUBJ	Nominal subject
NSUBJPASS	Nominal subject (passive)
DOBJ	Direct object
IOBJ	Indirect object
ACOMP	Adjectival complement
DATIVE	Dative complement (Beneficiary)
ATTR	Attribute of a copula
AGENT	Agent
OPRD	Object predicate
CSUBJ	Clausal subject
CSUBJPASS	Clausal subject(passive)
CCOMP	Clausal complement
XCOMP	Open clausal complemen
AUX	Auxiliary
AUXPASS	Auxiliary(passive)
PRT	Particle
PCOMP	Complement of preposition
ADVCL	Adverbial clause modifier
NPADVMOD	Noun phrase as adverbial modifier
DIR	Direction (from/to)
CLF	Classifier
COMPLM	Complementizer
COP	Copula
DISCOURSE	Discourse element
DISLOCATE	Dislocated elements
FIXED	Fixed multi-word expression
FLAT	Flat multi-word expression
GOESWITH	Goes with 'with out'
HMOD	Modifier in hyphenation
INFMOD	Infinitival modifier
LIST	List
META	Meta modifier
NN	Noun compound modifier
NOUNMOD	Modifier of nominal
NUM	Number modifier
NUMBER	Number compound modifier
OBJ	Object
OBL	Oblique nominal
ORPHAN	Orphan
PARTMOD	Participal modifie
RCMOD	Relative clause modifier
REPARANDUM	Overridden disfluency
ROOT_S	Root
VOCATIVE	Vocative

NER Table

NAMED ENTITY TYPES
TYPE	DESCRIPTION
Person	People, including fictional
Nationality/Political group	Nationalities or religious or political groups
Facility	Buildings, airports, highways, bridges, etc.
Organization	Companies, agencies, institutions, etc.
Geographical Entity	Countries, cities, states
Location	GPE locations, mountain ranges, bodies of water
Commercial Product	Objects, vehicles, foods, etc. (not services
Event	Named hurricanes, battles, wars, sports events, etc.
Art	Titles of books, songs, etc.
Law	Named documents made into laws.
Language	Any named language
Date	Absolute or relative dates or period
Time	Times smaller than a day
Percentage	Percentage, including "%"
Currency	Monetary values, including unit
Quantity	Measurements, as of weight or distance
Ordinal	First, second, etc.
POBJ	Object of prepositio
Cardinal	Numerals that do not fall under another type
Frequency	Named person or family.
Miscellaneous	Miscellaneous entities, e.g. events, nationalities, products or works of art
Social Event	Festivals, cultural events, sports events, weather phenomena, wars, etc.
Product	Product, i.e. artificially produced entities including speeches, radio shows, programming languages, contracts, laws and ideas
Derivative	Words (and phrases?) that are derived from a name, but not a name in themselves, e.g. 'Oslo-mannen' ('the man from Oslo')
Geopolitical Entity	Geo-political entity, with a locative sense, e.g. 'John lives in Spain'
Geopolitical Organization	Geo-political entity, with an organization sense, e.g. 'Spain declined to meet with Belgium'

Components Table

COMPONENT TYPES
TYPE	DESCRIPTION
Time	Temporal component
Space	Spatial componeny
Domain	Domain, group, or topic component
Manner	Manner component or manner clause
Time/Space	Temporal or spatial component (e.g. "at the wedding")
Cause	Causal component or causal clause
Anti-causal	Anti-causal component or clause (e.g. "although X" "even though X")
Consequence	Consequential component or clause (e.g. "therefore X" "thus X"
Correlation	Correlation component or clause (e.g. "as X")
Condition	Conditional component or clause (e.g. "if X")
Goal	Goal component or clause (e.g. "In order to X" "so that X")
Possession	Possession of a noun or nominal phrase
Particle	Particle of a verb
Subject	Subject of a verb
Passive Subject	Monetary valuePassive subject of a verb, including unit
Clausal Subject	Clausal subject of a verb
Passive Clausal Subject	Passive clausal subject of a verb
Clausal Complement	Clausal complement of a verb
Close Clausal Complement	Close clausal complement of a verb
Direct Object	Direct object of a verb
Indirect Object	Indirect object of a verb
Attribute	Attribute of a copula
State	State of a noun or nominal phrase
Agent	Agent of a passive verb
Verb	Verb
Auxiliary	Auxiliary or tense modifier of a verb

4.4 SDKs

To get started easily and quickly, just import the SDK of your choice by copying the provided code snippet into your application (Available at RapidAPI).

4.5 Response Status Codes

The Titan API adheres to the response status codes defined in RFC 2616 and RFC 6585.

STATUS CODE	DESCRIPTION
200	OK - The request has succeeded. The client can read the result of the request in the body and the headers of the response.
400	Bad Request - The request could not be understood by the server due to malformed syntax. The message body will contain more information; see Response Schema.
401	Unauthorized - The request requires user authentication or, if the request included authorization credentials, authorization has been refused for those credentials.
403	Forbidden - The server understood the request, but is refusing to fulfill it.
404	Not Found - The requested resource could not be found. This error can be due to a temporary or permanent condition.
429	Too Many Requests - Rate limiting has been applied.
500	Internal Server Error- When this happens try your request again at a later time or contact our support team to get assistance.
502	Bad Gateway - The server was acting as a gateway or proxy and received an invalid response from the upstream server.
503	Bad Gateway - The server was acting as a gateway or proxy and received an invalid response from the upstream server.

4.6 Rate Limiting

Rate Limiting ensures fair distribution of access to Titan API resources among all users.

Rate limiting is applied per application based on the Client ID/API key, regardless of the number of simultaneous users.

To minimize the number of requests, retrieve multiple entities within a single request. For example, you can ask multiple questions about your text in a single request, significantly reducing the number of requests your application needs to make.

Note: If the Titan API returns a status code 429, it means you have exceeded the request limit. In such cases, please retry your request later or contact our support team to get assistance.

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