Hivewire vs Perigon
Perigon is the closest competitor at the enterprise end of the market: clustered stories, AI summaries, semantic search, and a hosted MCP server. It covers far more data and enrichment. Hivewire focuses on the smaller current-news workflow that an independent developer or small team can adopt without an enterprise contract.
The structural differences
Perigon claims checked August 2026 against their product page and published API pricing.
| PERIGON | HIVEWIRE | |
|---|---|---|
| Unit of data | Articles + AI-clustered stories | Clustered stories, cited to source articles |
| Sources | 200,000+ claimed, 10+ years of archives | ~500, published in full, curated for original reporting |
| Enrichment | Entities, sentiment, journalist data, knowledge graph | Summaries, significance, topics, and sources; deliberately less |
| Hosted MCP server | Included | Included |
| Commercial story access | Commercial plans with Stories start at $24k/year; $250 and $550 startup plans cover narrower endpoint sets | From $29/month |
| Persistent channels that learn from feedback | No equivalent in the public API reviewed | Built in on every plan |
When to choose Perigon
Choose Perigon if you need entity-level data about companies, people, or journalists; sentiment and bias labels; a decade of archives; or coverage across hundreds of thousands of sources. It is built for media intelligence, communications, and risk work. We are not. Its platform is the more complete one; that's what enterprise breadth buys.
When to choose us
Choose Hivewire for compact current-news stories, significance ranking, and persistent feeds at a self-serve price. The public credit weights stay fixed at 1, 2, or 50 regardless of query parameters, and commercial use starts at $29/month.