Akta gives structured data on 20M+ companies (70+ data points each) plus real-time and historical news signals, filtered to remove about 80% of noise, accessible via API, MCP, CLI or bulk data. Its own benchmark against six providers scores it highest on accuracy (93%) and F1 among News APIs, LLMs and scraper alternatives at $0.50 per 1,000 accurate articles, versus $0.67–$2.85 for competitors. Pricing is pay-as-you-go instead of the flat enterprise licenses legacy data vendors charge, and it states plainly it does not use customer data for AI model training.
What holds up
- +Publishes its own benchmark numbers against 6 named competitors, not just marketing claims
- +Pay-as-you-go pricing instead of the flat enterprise contracts legacy data vendors require
- +States explicitly that customer data is not used for AI model training
Mind the limits
- −Coverage (recall) trails Perigon and Exa on the vendor's own benchmark chart
- −Deep integration (MCP, bulk data, entity resolution) means some lock-in once workflows depend on it
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