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 can adopt for a non-commercial project, with no 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 | None. Hivewire has no paid plan: free, 1,000 credits/month, non-commercial |
| Persistent channels that learn from feedback | No equivalent in the public API reviewed | Built in |
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. Perigon is also the choice for a commercial product, because Hivewire's only plan is non-commercial.
When to choose us
Choose Hivewire for compact current-news stories, significance ranking, and persistent feeds in a non-commercial project. It is free, and the credit weights stay fixed at 1, 2, or 50 regardless of query parameters.