Comparisons / Unzoi vs Perigon

Unzoi vs Perigon

A news intelligence API positioned around AI and agent use cases.

They are winning the question that matters most

Asked which news API to use for agents and retrieval, Perplexity names them first. That is the recommendation surface an increasing share of buyers actually consult, and they have earned it — not with volume, but with a site that says one thing clearly. Their entire footprint is 133 URLs across all declared sitemaps. A competitor with thirty times as many pages does not appear in the same answer. This is the strongest evidence available that citation tracks positioning clarity and documentation quality rather than page count, and it is the single most useful thing we learned surveying this category.

The unpublished price is the exposed flank

Not publishing pricing made sense when evaluations started with a search and ended with a sales call. It makes less sense now, because the comparison step increasingly happens inside an assistant, and an assistant summarising options describes an unpriced vendor as "contact sales" and moves on. They win the "best for agents" question and lose the "what does it cost" question by default, regardless of how competitive their number would have been. That is a marketing decision they can reverse in an afternoon, so we would not weight it heavily in a long-term technical evaluation.

Where the comparison actually lands

This is the closest competitor in intent, which makes the honest comparison narrower than the others here. The differences come down to whether the agent surface is first-party MCP or a REST API you wrap, and whether you can see the price before talking to someone. If both of those are neutral for you, evaluate on coverage in your specific markets and go with whichever returns better results for your actual queries. Run that test rather than taking either vendor's word for it.

Where Perigon is the better choice

Choose Perigon if you want the most established agent-focused vendor and are comfortable going through a sales conversation to learn what it costs.

Where an agent-first buyer hits friction

Pricing

Perigon does not publish prices. A like-for-like cost comparison needs a sales conversation first.

What they advertise

Their published claims, not our measurements.