Building AI Agents on Top of Underserved Data Sources
The article discusses the lack of readily available data that AI agents need, and how the author has built a service called NexusFeed to provide access to public data on LTL fuel surcharges and liquor license compliance records at a fraction of the cost of legacy data vendors.
Why it matters
This news highlights the opportunity for building AI-powered applications on top of underserved data sources, which can provide significant cost savings and workflow improvements for businesses in various industries.
Key Points
- 1Freight audit firms charge 3-8% of recovered overcharges to reconcile invoices against carrier rates, but the data they need costs only $0.03 per lookup
- 2The author built NexusFeed, a JSON API that provides access to this data, which is typically locked behind portals that are
- 3 or
- 4
- 5The hard part is not the data scraping, but the lack of
- 6 in many B2B verticals, forcing companies to either pay high fees to legacy vendors or build their own scraping solutions
- 7NexusFeed provides a
- 8 contract with each response, allowing agents to assess the reliability of the data
Details
The article highlights the gap between the cost of obtaining certain types of data, such as LTL fuel surcharge percentages and liquor license compliance records, and the prices charged by legacy data vendors. The author has built a service called NexusFeed to provide access to this data at a much lower cost, around $0.03 per lookup for LTL fuel surcharges and $0.05 per ABC lookup. This is possible because the hard part is not the data scraping itself, but the lack of
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