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Diffbot NL Analyze
nlpnersentimentsummarizationai
Diffbot NL Analyze is a paid API for AI agents from Diffbot NL at diffbot-nl.mpp.paywithlocus.com, paid per call via MPP, $0.004+ (per 10k chars) (dynamic), status unknown (last checked 2026-10-12).
Analyzes text using NLP to extract named entities, sentiment, facts, categories, sentences, summaries, and language detection
Price$0.004+ (per 10k chars)varies by input
Success—
StatusUnknown
How this service works
Perform NER, sentiment analysis, fact extraction, and summarization on text.
Output
Returns a JSON object with requested NLP fields including: an array of recognized entities (each with name, Wikidata/DBpedia URIs, and entity types), an overall sentiment score, a text summary, detected facts, category classifications, sentence-level breakdowns, and/or detected language — depending on which fields were requested.
Example use cases
Example prompt
“Analyze this news article text and give me the named entities, sentiment, and a summary: 'Tesla reported record earnings this quarter as CEO Elon Musk credited new factories in Austin and Berlin for the production boost.'”
Technical details
Endpoint
POSThttps://diffbot-nl.mpp.paywithlocus.com/diffbot-nl/analyze?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need multi-faceted NLP analysis in a single call — especially when you want Diffbot's knowledge-graph-linked entity extraction with Wikidata/DBpedia URIs alongside sentiment and summarization. Ideal for enriching content pipelines, analyzing news articles, or extracting structured facts from unstructured text. Prefer this over generic NLP services when entity disambiguation and knowledge-graph linking are important.
Side effects
- Missing required 'content' field returns a validation error
- Invalid field names in 'fields' parameter may be ignored or return an error
- Very long documents may be truncated or timeout
- Non-English text may have reduced accuracy for certain NLP fields
- Malformed document objects in content array return parsing errors
Input
{
"fields": "entities,sentiment,summary,language",
"content": "Microsoft announced a new partnership with OpenAI to integrate advanced AI capabilities into its productivity suite. The collaboration aims to enhance user experience across Word, Excel, and Teams. Industry experts view this as a strategic move to compete with Google's AI initiatives."
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| fields | string | Comma-separated NLP fields: entities, sentiment, facts, categories, sentences, summary, language |
| contentrequired | — | Array of document objects with { content, lang?, format? } or a single text string |
Output
{
"data": {
"summary": "Microsoft announced a new partnership with OpenAI to integrate advanced AI capabilities into its productivity suite. The collaboration aims to enhance user experience across Word, Excel, and Teams. Industry experts view this as a strategic move to compete with Google's AI initiatives.",
"entities": [
{
"name": "Google",
"allUris": [
"http://www.wikidata.org/entity/Q95"
],
"allTypes": [
{
"name": "organization",
"dbpediaUri": "http://dbpedia.org/ontology/Organisation",
"diffbotUri": "https://diffbot.com/entity/EN1ClYEdMMQCxB6AWTkT3mA"
},
{
"name": "skill",
"diffbotUri": "https://diffbot.com/entity/EvfbHngnSNVOh7ZBM5XTywQ"
},
{
"name": "product",
"diffbotUri": "https://diffbot.com/entity/EgSPUye7QPcyQoPylO8biMQ"
},
{
"name": "creative work",
"dbpediaUri": "http://dbpedia.org/ontology/Work",
"diffbotUri": "https://diffbot.com/entity/EnuIck9oSO_2b9wNK6CD3Vw"
}
],
"isCustom": false,
"location": {
"latitude": 37.41392,
"longitude": -122.085075,
"precision": 5.638174
},
"mentions": [
{
"text": "Google",
"endOffset": 267,
"confidence": 0.94932866,
"beginOffset": 261
}
],
"salience": 0.9395077,
"sentiment": 0,
"confidence": 0.94932866,
"diffbotUri": "https://diffbot.com/entity/EUFq-3WlpNsq0pvfUYWXOEA"
},
{
"name": "Microsoft",
"allUris": [
"http://www.wikidata.org/entity/Q2283"
],
"allTypes": [
{
"name": "organization",
"dbpediaUri": "http://dbpedia.org/ontology/Organisation",
"diffbotUri": "https://diffbot.com/entity/EN1ClYEdMMQCxB6AWTkT3mA"
}
],
"isCustom": false,
"location": {
"latitude": 47.68868,
"longitude": -122.11535,
"precision": 0.1
},
"mentions": [
{
"text": "Microsoft",
"endOffset": 9,
"confidence": 0.96502036,
"beginOffset": 0
}
],
"salience": 0.90270525,
"sentiment": 0,
"confidence": 0.96502036,
"diffbotUri": "https://diffbot.com/entity/EIsFKrN_ZNLSWsvxdQfWutQ"
},
{
"name": "OpenAI",
"allUris": [
"http://www.wikidata.org/entity/Q21708200"
],
"allTypes": [
{
"name": "organization",
"dbpediaUri": "http://dbpedia.org/ontology/Organisation",
"diffbotUri": "https://diffbot.com/entity/EN1ClYEdMMQCxB6AWTkT3mA"
}
],
"isCustom": false,
"location": {
"latitude": 37.762222,
"longitude": -122.41472,
"precision": 10
},
"mentions": [
{
"text": "OpenAI",
"endOffset": 49,
"confidence": 0.84677356,
"beginOffset": 43
}
],
"salience": 0.8205336,
"sentiment": 0.81153446,
"confidence": 0.84677356,
"diffbotUri": "https://diffbot.com/entity/EXawQKB7bOa6qIQRHTQnKVg"
},
{
"name": "Microsoft Excel",
"allUris": [
"http://www.wikidata.org/entity/Q11272"
],
"allTypes": [
{
"name": "skill",
"diffbotUri": "https://diffbot.com/entity/EvfbHngnSNVOh7ZBM5XTywQ"
},
{
"name": "product",
"diffbotUri": "https://diffbot.com/entity/EgSPUye7QPcyQoPylO8biMQ"
},
{
"name": "creative work",
"dbpediaUri": "http://dbpedia.org/ontology/Work",
"diffbotUri": "https://diffbot.com/entity/EnuIck9oSO_2b9wNK6CD3Vw"
}
],
"isCustom": false,
"mentions": [
{
"text": "Excel",
"endOffset": 185,
"confidence": 0.8913348,
"beginOffset": 180
}
],
"salience": 0.75381404,
"sentiment": 0.6874055,
"confidence": 0.8913348,
"diffbotUri": "https://diffbot.com/entity/EtdzmwOi2PsCn3z9T9xzxrA"
},
{
"name": "Microsoft Word",
"allUris": [
"http://www.wikidata.org/entity/Q11261"
],
"allTypes": [
{
"name": "skill",
"diffbotUri": "https://diffbot.com/entity/EvfbHngnSNVOh7ZBM5XTywQ"
},
{
"name": "product",
"diffbotUri": "https://diffbot.com/entity/EgSPUye7QPcyQoPylO8biMQ"
}
],
"isCustom": false,
"mentions": [
{
"text": "Word",
"endOffset": 178,
"confidence": 0.9021292,
"beginOffset": 174
}
],
"salience": 0.6922256,
"sentiment": 0.7863121,
"confidence": 0.9021292,
"diffbotUri": "https://diffbot.com/entity/EYFbHx7YPMqG2g3qS9rSXUQ"
},
{
"name": "artificial intelligence",
"allUris": [
"http://www.wikidata.org/entity/Q11660"
],
"allTypes": [
{
"name": "skill",
"diffbotUri": "https://diffbot.com/entity/EvfbHngnSNVOh7ZBM5XTywQ"
},
{
"name": "field of work",
"diffbotUri": "https://diffbot.com/entity/EjGOLMsQZOGSg549SwYfFyQ"
},
{
"name": "technology",
"diffbotUri": "https://diffbot.com/entity/E-5jnlQEGOt2x8rdkkht1NQ"
}
],
"isCustom": false,
"mentions": [
{
"text": "AI",
"endOffset": 74,
"confidence": 0.90247643,
"beginOffset": 72
},
{
"text": "AI",
"endOffset": 272,
"confidence": 0.90247643,
"beginOffset": 270
}
],
"salience": 0.46637562,
"sentiment": 0.58260274,
"confidence": 0.90247643,
"diffbotUri": "https://diffbot.com/entity/E_lYDrjmAMlKKwXaDf958zg"
},
{
"name": "user experience",
"allUris": [
"http://www.wikidata.org/entity/Q1047808"
],
"allTypes": [],
"isCustom": false,
"mentions": [
{
"text": "user experience",
"endOffset": 166,
"confidence": 0.8093157,
"beginOffset": 151
}
],
"salience": 0.33519834,
"sentiment": 0.86999387,
"confidence": 0.8093157,
"diffbotUri": "https://diffbot.com/entity/EsFFcv1E3NWiin5L9hbpLlA"
},
{
"name": "productivity software",
"allUris": [
"http://www.wikidata.org/entity/Q7247856"
],
"allTypes": [
{
"name": "skill",
"diffbotUri": "https://diffbot.com/entity/EvfbHngnSNVOh7ZBM5XTywQ"
},
{
"name": "product",
"diffbotUri": "https://diffbot.com/entity/EgSPUye7QPcyQoPylO8biMQ"
}
],
"isCustom": false,
"mentions": [
{
"text": "productivity suite",
"endOffset": 115,
"confidence": 0.7459926,
"beginOffset": 97
}
],
"salience": 0.14964215,
"sentiment": 0.6270238,
"confidence": 0.7459926,
"diffbotUri": "https://diffbot.com/entity/Ez6wtE9JLPpiRJP90KFctTg"
},
{
"name": "collaboration",
"allUris": [
"http://www.wikidata.org/entity/Q1145523"
],
"allTypes": [],
"isCustom": false,
"mentions": [
{
"text": "collaboration",
"endOffset": 134,
"confidence": 0.7581039,
"beginOffset": 121
}
],
"salience": 0.09078534,
"sentiment": 0.7858393,
"confidence": 0.7581039,
"diffbotUri": "https://diffbot.com/entity/EoEmMYT8GOzKWN3-AkbksyA"
},
{
"name": "partnership",
"allUris": [
"http://www.wikidata.org/entity/Q728646"
],
"allTypes": [],
"isCustom": false,
"mentions": [
{
"text": "partnership",
"endOffset": 37,
"confidence": 0.6207669,
"beginOffset": 26
}
],
"salience": 0.080129795,
"sentiment": 0.8121834,
"confidence": 0.6207669,
"diffbotUri": "https://diffbot.com/entity/E5flv0o6_OZqHZOKG5q2WyA"
},
{
"name": "industry",
"allUris": [
"http://www.wikidata.org/entity/Q268592"
],
"allTypes": [],
"isCustom": false,
"mentions": [
{
"text": "Industry",
"endOffset": 206,
"confidence": 0.5616751,
"beginOffset": 198
}
],
"salience": 0.04396573,
"sentiment": 0,
"confidence": 0.5616751,
"diffbotUri": "https://diffbot.com/entity/Ewuwn_I8rMrKhC-fPNldEKA"
},
{
"name": "expert",
"allUris": [
"http://www.wikidata.org/entity/Q381160"
],
"allTypes": [
{
"name": "job title",
"diffbotUri": "https://diffbot.com/entity/E_E130Nm6M6OXvI6hVras_g"
},
{
"name": "skill",
"diffbotUri": "https://diffbot.com/entity/EvfbHngnSNVOh7ZBM5XTywQ"
},
{
"name": "academic title",
"diffbotUri": "https://diffbot.com/entity/EBxWHiGsIN46txCzqDKlrjw"
},
{
"name": "award",
"dbpediaUri": "http://dbpedia.org/ontology/Award",
"diffbotUri": "https://diffbot.com/entity/EgXqbw14CORSyFpZeczosiQ"
},
{
"name": "field of work",
"diffbotUri": "https://diffbot.com/entity/EjGOLMsQZOGSg549SwYfFyQ"
},
{
"name": "occupation",
"dbpediaUri": "http://dbpedia.org/ontology/Profession",
"diffbotUri": "https://diffbot.com/entity/ErZNo5eLfM4mNIiqiMORbhA"
}
],
"isCustom": false,
"mentions": [
{
"text": "experts",
"endOffset": 214,
"confidence": 0.6617273,
"beginOffset": 207
}
],
"salience": 0.018248918,
"sentiment": 0,
"confidence": 0.6617273,
"diffbotUri": "https://diffbot.com/entity/Eg-1kDwCvPmaCorNiOwrFHw"
}
],
"language": "en",
"sentiment": 0.94574094
},
"success": true
}Tags
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