Cloudmersive Natural Language Processing API
67
AI ReadinessAI-Aware (B+)67/100
Agent-ready OpenAPI document · curated by JenticAI/MLMl InferenceapiKey25 EndpointsREST
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For Agents
Run sentiment, profanity, hate-speech, similarity, entity-extraction, language-detection, translation, and spell-check operations on text via simple POST endpoints.
Use for: Score the sentiment of a customer review, Detect profanity in a user-submitted comment, Detect hate speech in a forum post, Find the language of a piece of text
Not supported: Does not handle large language model chat completion, embeddings, or speech-to-text - use for fixed-purpose NLP scoring, translation, and text-cleanup endpoints only.
Jentic publishes the only available OpenAPI specification for Cloudmersive Natural Language Processing API, keeping it validated and agent-ready. Cloudmersive's NLP v2 API provides ready-made text analysis endpoints - sentiment analysis, profanity and hate-speech detection, subjectivity scoring, semantic similarity, named-entity extraction, language detection, machine translation between English and several major languages, parsing, part-of-speech tagging, rephrasing, segmentation, and spell checking. Each endpoint is a simple POST that accepts a JSON body of text and returns a structured result, with no model training or hosting required by the caller.
Install Jentic One Beta
Connect the Cloudmersive Natural Language Processing API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Cloudmersive Natural Language Processing 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.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
1
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fapi.cloudmersive.com%2Fcloudmersive" | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fapi.cloudmersive.com%2Fcloudmersive" | sh
jentic register # connects your agent to your Jentic One instanceJentic 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 Cloudmersive Natural Language Processing API.
Score sentiment, profanity, hate speech, and subjectivity for arbitrary input text
Extract named entities (people, organisations, places) and detect language from text
Translate text between English and German, French, Russian, and other major languages
Compare two strings for semantic similarity to power deduplication or matching workflows
Run grammar and spelling checks plus rephrasing and part-of-speech tagging on input text
Use Cases
Patterns agents use Cloudmersive Natural Language Processing API for, with concrete tasks.
★ User-Generated Content Moderation
Filter user comments, reviews, or chat messages for profanity and hate speech before they reach other users. The agent calls POST /nlp-v2/analytics/profanity and POST /nlp-v2/analytics/hate-speech with the message body and inspects the boolean and score fields. Combine with a sentiment call to flag unusually negative content for human review.
Call POST /nlp-v2/analytics/profanity with a comment body and reject the post when the returned score exceeds 0.5.
Multilingual Customer Support Triage
When tickets arrive in mixed languages, detect each ticket's language and translate it to the support team's working language. The agent first calls POST /nlp-v2/language/detect, then routes English/German/French content to the matching translate endpoint such as /nlp-v2/translate/language/deu/to/eng. Sentiment scoring on the translated text helps escalate angry customers first.
Call POST /nlp-v2/language/detect on the ticket body, then POST /nlp-v2/translate/language/{src}/to/eng to translate it before assigning to the English queue.
Review Sentiment Aggregation
Score customer reviews in bulk to produce a sentiment trend by product or service. The agent posts each review to /nlp-v2/analytics/sentiment, stores the score and label, and rolls up the daily averages into a dashboard. Pair with /nlp-v2/extract-entities to break out which features are mentioned most often.
Call POST /nlp-v2/analytics/sentiment for each new review and write the score plus product ID to BigQuery.
Agent-Driven Text Analysis via Jentic
Connect Cloudmersive NLP to an AI agent through Jentic so a workflow can ask 'is this comment offensive?' or 'what language is this?' as a single tool call. The agent searches Jentic for the right Cloudmersive operation, loads the schema, and posts the text with the API key kept in your Jentic One instance. The Apikey header value never enters the agent's prompt.
Use the Jentic Python SDK to search for 'detect profanity in text', load POST /nlp-v2/analytics/profanity, and execute it on a candidate comment.
Key Endpoints
25 endpoints — jentic publishes the only available openapi specification for cloudmersive natural language processing api, keeping it validated and agent-ready.
METHOD
PATH
DESCRIPTION
POST
/nlp-v2/analytics/sentiment
Analyse sentiment of text
POST
/nlp-v2/analytics/profanity
Detect profanity in text
POST
/nlp-v2/analytics/hate-speech
Detect hate speech in text
POST
/nlp-v2/analytics/similarity
Compare semantic similarity of two texts
POST
/nlp-v2/extract-entities
Extract named entities from text
POST
/nlp-v2/language/detect
Detect the language of input text
POST
/nlp-v2/translate/language/eng/to/deu
Translate English to German
POST
/nlp-v2/analytics/sentiment
Analyse sentiment of text
POST
/nlp-v2/analytics/profanity
Detect profanity in text
POST
/nlp-v2/analytics/hate-speech
Detect hate speech in text
POST
/nlp-v2/analytics/similarity
Compare semantic similarity of two texts
POST
/nlp-v2/extract-entities
Extract named entities from text
POST
/nlp-v2/language/detect
Detect the language of input text
POST
/nlp-v2/translate/language/eng/to/deu
Translate English to German
Jentic AI Readiness Score
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
C
Cloudmersive Natural Language Processing API
- AI-Aware (B+)67/100
99
Foundational Compliance63
Developer Experience & Jentic Compatibility50
AI-Readiness & Agent Experience94
Agent Usability50
Security100
AI DiscoverabilityPowered by JenticScoring Framework 1.0.0 | Scoring Engine 0.4.0
Show dimension breakdown
99
Foundational Compliance
Base layer of spec validity and structural soundness.
Grade: A+Signals: 4
98%
Lint Results
Aggregated quality score from linter diagnostics, weighted by severity.
100%
Resolution Completeness
Percentage of `$ref` references that resolve successfully.
100%
Specification Validity
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
100%
Structural Integrity
Structural correctness score based on schema issues using logarithmic dampening.
63
Developer Experience & Jentic Compatibility
Clarity, completeness, and ingestion readiness for developers and tooling.
Grade: B-Signals: 4
0%
Example Density
How richly the API is illustrated with examples.
100%
Example Validity
Percentage of examples that conform to their schemas.
50%
Response Coverage
Percentage of operations with complete response definitions (success, client error, server error).
100%
Tooling Readiness
Health of API ingestion, bundling, and resolution within Jentic pipelines.
50
AI-Readiness & Agent Experience
Semantic breadth, depth, and agent comprehension for AI systems.
Grade: D+Signals: 4
48%
Description Coverage
Coverage of descriptions across API elements.
0%
Error Standardization
Coverage of RFC 9457 Problem Details for error responses.
100%
OperationId Quality
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
50%
Summary Coverage
Coverage of summaries across operations/tags/info.
94
Agent Usability
Functional utility, complexity comfort, and AI orchestration readiness.
Grade: A+Signals: 1
94%
Complexity Comfort
Agent comfort level based on API operational and structural complexity.
50
Security
Trust, risk posture, and security compliance.
Grade: C-Signals: 1
50%
Authentication Strength
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
100
AI Discoverability
Findability, semantic richness, and reasoning readiness.
Grade: A+Signals: 1
100%
Descriptive Richness
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>Why Jentic?
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the Cloudmersive NLP API by hand means handling its Apikey header and mapping the sentiment, entity, language, and translation routes yourself. Through Jentic you install once, import Cloudmersive NLP from the API Directory, store the key once, and your agent calls it.
Permission scoping
Cloudmersive NLP addresses each analysis through the request body rather than resource ids in the URL path, so you limit the agent to the operations it needs, such as sentiment scoring or language detection. Operations like translation are separate and are only available if you include them in the allowed set.
Credential isolation
Your Cloudmersive Apikey is stored once, encrypted, by your own Jentic One instance and injected as the header at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'detect profanity' or 'translate text', and Jentic returns the matching Cloudmersive operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Cloudmersive Natural Language Processing API through Jentic.
Why is there no official OpenAPI spec for Cloudmersive Natural Language Processing API?
Cloudmersive publishes interactive HTML reference docs but does not host a single canonical OpenAPI specification for the NLP v2 product. Jentic generates and maintains this spec so that AI agents and developers can call Cloudmersive Natural Language Processing API via structured tooling. It is validated against the live API and kept up to date. Get started with Jentic One, the self-hosted execution layer.
What authentication does the Cloudmersive NLP API use?
The API uses an API key in the Apikey header on every request. You generate the key from the Cloudmersive account dashboard. Through Jentic, the Apikey value is stored encrypted in the vault and only scoped tokens reach the agent's context.
Can I detect hate speech in text with Cloudmersive NLP?
Yes. POST the text to /nlp-v2/analytics/hate-speech and Cloudmersive returns a hate-speech probability and a boolean classification. Pair it with /nlp-v2/analytics/profanity for layered comment moderation.
What are the rate limits for the Cloudmersive NLP API?
Cloudmersive applies a per-account monthly quota that depends on your plan; free tiers cap at a few hundred calls per month, paid tiers scale into the millions. Per-second throttling is in place to prevent burst overload - when running through Jentic, watch 429 responses.
How do I translate text between English and German via Jentic?
Search Jentic for 'translate text english to german' and the POST /nlp-v2/translate/language/eng/to/deu Cloudmersive operation is returned with its body schema. Load the operation, then execute it with the source string. The standard quickstart is pip install jentic, search, load, execute.
Is the Cloudmersive NLP API free?
Cloudmersive offers a free tier with a monthly call quota suitable for evaluation; paid plans raise the quota and unlock higher concurrency. There is no trial expiry on the free tier as long as you stay within the monthly cap.
Can I limit what my agent is allowed to do with the Cloudmersive NLP API?
Yes. Because Cloudmersive NLP selects each analysis through the request body rather than resource ids in the URL path, your self-hosted Jentic One instance lets you allow only the operations the agent actually needs, such as sentiment scoring at /nlp-v2/analytics/sentiment or language detection at /nlp-v2/language/detect. Separate operations like translation at /nlp-v2/translate/language/eng/to/deu are reachable only when you add them to the allowed set. Your own rules decide which endpoints and which Apikey credential the agent may use, so it cannot call anything outside that scope.
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