Providers using this tag (37)
Ranked by API Evangelist rating — Exemplar and Strong are expanded by default.
Strong 2 Solid coverage with minor gaps
Developing 13 Usable, with meaningful gaps to close
Thin 16 Limited public surface area
Emerging 6 Early or largely undocumented
APIs with this tag (31)
Ranked by the provider's API Evangelist rating — the Kin Score is scored per provider, not per API, so every API of a provider shares its band. How the rating works →
Strong 1 Solid coverage with minor gaps
Developing 5 Usable, with meaningful gaps to close
Intelligent Tagging APIRESTful API for extracting entities, topics, and metadata from unstructured text content. Identifies organi...Amazon Connect Contact Lens APIAmazon Connect Contact Lens enables you to analyze conversations between customers and agents using speech ...Kensho NERDNamed Entity Recognition and Disambiguation API that identifies and links concepts in text to knowledge bas...Kayhan Space NLP APIThe NLP API from Kayhan Space — 3 operation(s) for nlp.Intelligent Tagging RESTful APINatural language processing API that identifies and tags entities such as companies, people, deals, geograp...
Thin 12 Limited public surface area
Azure AI Language APINatural language processing including sentiment analysis, entity recognition, and summarization.ConceptNet REST APIThe ConceptNet REST API exposes the full ConceptNet 5 knowledge graph via JSON-LD endpoints. Consumers can ...Bing Spell Check APIThe Bing Spell Check API provides contextual spell checking using machine learning models.Mistral AI Chat APIChat completion API for conversational AI using Mistral's language models, with function calling, streaming...Azure Cognitive Services APIAI and machine learning APIs for vision, speech, language, and decision making.AI Autocomplete APIFramework-agnostic HTTP API behind the AI Autocomplete SDKs. A single POST /api/suggest endpoint drives key...Azure Cognitive Services APIAI and machine learning APIs for vision, speech, language, and decision making.PMC BioC APIThe BioC API provides full text retrieval of PubMed Central Open Access articles in BioC XML or JSON format...Rev AI Language Identification APIDetects the spoken language of audio input, priced at $0.003 per minute.Rev AI Sentiment Analysis APIProvides sentiment insights for transcripts, priced at $0.0008 per 10 words analyzed.Rev AI Topic Extraction APIExtracts key topics and insights from transcripts generated by the Rev AI speech-to-text pipeline.SYSTRAN NLP APIThe NLP API from SYSTRAN — 4 operation(s) for nlp.
Emerging 13 Early or largely undocumented
Corporate Reputation APISemantically tags content for corporate reputation analysis, identifying entities and assigning reputationa...Deep Categorization APIPremium API that performs deep semantic text classification using advanced rule-based and machine learning ...Document Structure APIExtracts structural sections from markup documents including title, headings, abstract, and email fields su...Language Identification APIDetects the language in which a given text is written, returning ISO-639 codes and confidence scores for mu...Sentiment Analysis APIPerforms detailed multilingual sentiment analysis of texts from different sources, returning polarity, agre...Summarization APIAutomatically extracts a summary from a document by selecting the most relevant sentences, with configurabl...Text Classification APIAssigns one or more classes to a text according to content using predefined or custom taxonomy models, supp...Text Clustering APIGroups a set of texts by thematic similarity, returning clusters with titles, relevance scores, and documen...Topics Extraction APIIdentifies and extracts named entities (people, places, organizations) and abstract concepts within text, p...Wit.ai HTTP APIThe Wit.ai HTTP API extracts structured meaning (intents, entities, traits) from text and audio, transcribe...Qlik Natural Language APIParse natural language queries with support for language configuration, visualization generation, and conve...DBpedia SpotlightREST API for automatic annotation and entity linking of natural language text to DBpedia resources. Accepts...TorchText APINatural language processing library for PyTorch.
Score breakdown
Frequency
47.0
log-scaled weighted occurrences
Breadth
1.0
spread across providers
Quality lift
45.9
mean composite of providers using it
Cohesion
4.8
strength of nearest seed neighbor
Related tags
Named Entity Recognition 5 co-occurrences
Natural Language Processing 9 co-occurrences
Speech-to-Text 7 co-occurrences
Sentiment Analysis 5 co-occurrences
Transcription 5 co-occurrences
Financial Data 5 co-occurrences
WebSocket 6 co-occurrences
Audio 5 co-occurrences
Where this tag comes from
Provider tag21
Api tag31
Openapi tag2
Openapi op tag7
Cohort brief
Auto-generatedThe 37 providers in the APIs.io catalog tagged NLP, scored on the Kin Score. Every figure below is computed from the catalog — nothing here is written.
Providers
37
all scored
Mean Kin Score
37.6
+16.9 vs catalog 20.7
Mean Agent Readiness
20.8
+11.1 vs catalog 9.7
Spread
13.4–64.6
median 36.6 · σ 11
How the 37 split by band
Exemplar 0Strong 2Developing 13Thin 16Emerging 6Minimal 0
Facet averages, against the whole catalog
| Facet | This cohort | Catalog | Difference | Scored |
|---|---|---|---|---|
| Contract Quality | 40 | 17.5 | +22.5 | 37 |
| Developer Ergonomics | 36.6 | 17.9 | +18.7 | 37 |
| Access Clarity | 39.1 | 22.3 | +16.8 | 37 |
| Operational Transparency | 27.1 | 11.3 | +15.8 | 37 |
| Discoverability | 70.8 | 60.4 | +10.4 | 37 |
| Contract Governance | 13.8 | 6.4 | +7.4 | 37 |
A facet is averaged over the members that carry it, not over the whole cohort — the “Scored” column is that count. Averaging an absent facet as zero would score our own coverage gaps as the providers’ posture.
What this cohort publishes
| Artifact | This cohort | Catalog | Difference |
|---|---|---|---|
| MCP server (any) | 22% | 16% | +6 |
| MCP server (first-party) | 8% | 7% | +1 |
| Agent Skills | 0% | 0% | 0 |
| OAuth scopes | 22% | 9% | +13 |
| Security | 97% | 88% | +9 |
| Arazzo workflows | 8% | 2% | +6 |
| Governance rules | 49% | 13% | +36 |
mcp_pct counts any mcp/ artifact including ones API Evangelist derived from the provider OpenAPI; mcp_first_party_pct counts only servers the provider publishes. Prefer the latter.
Top by Kin Score
- 1 S&P Global 64.6
- 2 AWS HealthLake 61.3
- 3 Refinitiv Eikon 50.6
- 4 Speechmatics 50.4
- 5 Amazon Translate 50.3
- 6 Newscatcher 49.7
- 7 Amazon Comprehend 48.2
- 8 Amazon Connect 47.3
- 9 Datasaur 47
- 10 Kensho 44.6
Top by Agent Readiness
- 1 S&P Global 63.7
- 2 Kensho 53.2
- 3 Amazon Connect 30.6
- 4 AYLIEN 30.6
- 5 ConceptNet 29.6
- 6 Linguatools 28.7
- 7 Microsoft Products APIs 28.7
- 8 Kayhan Space 28.5
- 9 Speechmatics 28.1
- 10 Unwrap 28.1
All 37 members of this roster resolve to a scored provider in
the catalog.Generated from the catalog build of
25 August 2026, across 26891
providers, using the same computation served by the
APIs.io cohort API. Briefs are published for rosters of
5 or more scored providers; below that a distribution is not meaningful.
Work with this as data
Every tag here is available over the APIs.io API and to AI agents over MCP.
MCP server
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https://apis.io/mcp
Tools for tags
7 MCP tools reach this
find_tagsBrowse and filter every tag in the catalog.get_cohortThis tag as a scored cohort — every provider carrying it, with scores.cohort_statsPRO — the distribution across this tag: mean, median, band split, adoption rates.cohort_rankingsPRO — the leaderboard, on composite AND agent-readiness axes.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This tag
curl "https://apis.io/api/v1/tags/nlp"
All tags
curl "https://apis.io/api/v1/tags?limit=25"
As a scored cohort
curl "https://apis.io/api/v1/cohorts/tag/nlp"
The distribution (Pro)
curl "https://apis.io/api/v1/cohorts/tag/nlp/stats" \
-H "X-API-Key: $APIS_IO_KEY"Discovery needs no key. Ratings and market analysis are Pro.