Perigon News API
AI-enriched news intelligence, entities, topics, sentiment, bias detection
Freemium
✓ Verified
🇺🇸 United States
Perigon provides AI-enriched news data at scale, going beyond basic article retrieval to offer entity extraction, topic classification, sentiment analysis, political bias scores, and image extraction for every article. Covers 140,000+ sources globally. The structured enrichment makes it ideal for building sophisticated news intelligence products, media monitoring platforms, and research tools that need to understand news at a semantic level rather than just searching text. The free tier of 250 requests/day is genuinely useful for development. Paid plans start at $99/month.
API Details
Auth Method
API Key
Pricing Model
Freemium
Free Tier
Yes — 250 requests/day free
Rate Limit
250 requests/day (free)
Format
REST / JSON
Versioning
v1
SLA / Uptime
99.5%
Compliance
GDPR, CCPA
Geographic Restrictions
Global (140,000+ sources)
Last Verified
2026-02-20
Categories
Frequently Asked Questions
Perigon is an AI-enriched news API that automatically tags articles with entities (people, companies, locations), topics, sentiment, and event classification using NLP. Unlike raw news aggregators (NewsAPI, Mediastack), Perigon provides structured metadata that makes building sophisticated news applications much faster u2014 you get pre-processed data rather than raw text.
Perigon pricing starts at $99/month for 100,000 article requests per month, $249/month for 500,000, and $599/month for 2 million requests. Enterprise plans with full firehose access are available on request. There is a free trial period. Compared to raw news APIs, the higher price reflects the AI enrichment included.
Perigon covers 140,000+ news sources globally across 70+ languages. Coverage includes mainstream news, trade publications, local news, and international sources. The AI enrichment adds value beyond raw aggregation u2014 entity extraction, event categorisation, and sentiment are applied uniformly across all sources regardless of their original format or structure.
Perigon automatically extracts: named entities (people, organisations, places), event types and topics, sentiment (positive/negative/neutral at article and entity level), image classification, and source quality signals. This structured data dramatically reduces the processing needed to build news analytics, media monitoring, and brand intelligence applications.