MeaningCloud
MeaningCloud is a cloud-based text analytics and natural language processing REST API platform providing sentiment analysis, topic extraction, text classification, language detection, document clustering, corporate reputation analysis, document structure extraction, and deep semantic analysis across multiple languages.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles MeaningCloud the way a machine reads it — 13 machine-readable artifacts across 9 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — MeaningCloud scores 27.3/100 (emerging), with a separate agent-readiness read of 7/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile MeaningCloud
Each block below is one kind of artifact we hold for MeaningCloud. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 9
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Sentiment Analysis API
Performs detailed multilingual sentiment analysis of texts from different sources, returning polarity, agreement, subjectivity, irony, and confidence scores at document, sentenc...
Topics Extraction API
Identifies and extracts named entities (people, places, organizations) and abstract concepts within text, providing relevance scores and ontology types.
Text Classification API
Assigns one or more classes to a text according to content using predefined or custom taxonomy models, supporting multilingual classification with configurable hierarchy expansion.
Language Identification API
Detects the language in which a given text is written, returning ISO-639 codes and confidence scores for multiple candidate languages.
Deep Categorization API
Premium API that performs deep semantic text classification using advanced rule-based and machine learning models, supporting polarity and verbose output modes.
Text Clustering API
Groups a set of texts by thematic similarity, returning clusters with titles, relevance scores, and document lists. Supports multiple clustering modes and custom stopword lists.
Corporate Reputation API
Semantically tags content for corporate reputation analysis, identifying entities and assigning reputational categories with polarity scores to support brand monitoring use cases.
Summarization API
Automatically extracts a summary from a document by selecting the most relevant sentences, with configurable sentence count output.
Document Structure API
Extracts structural sections from markup documents including title, headings, abstract, and email fields such as from, to, cc, and subject.
Scroll within the panel for all 9 ·
Pricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Plans
PLANSRate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Finops
FINOPSSemantic Vocabularies 1
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Apis Context
JSON-LDResources
Every other property we hold for MeaningCloud — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Documentation 1
Reference material describing how the API behaves
Build 1
SDKs, sample code, and the tooling you integrate with
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/meaningcloud · machine-readable index on apis.io