Search Result Trust Verification Layer

A financial research agent verifies every data point before including it in reports. For each claim, it runs a confirmation query via Scavio. If fewer than 2 independent sources confirm the data, the agent marks it as 'unverified' in the output. Verification adds $0.01/claim but eliminated 52% of factual errors in reports.

Search Result Trust Verification Layer is relevant to Google. Scavio provides a unified API to access data from all of these platforms.

AI agents that act on unverified search results are brittle. A trust verification layer sits between the search API response and the agent's decision-making logic. It works in stages: 1) Source diversity check -- does the claim appear in multiple independent sources? A fact mentioned by 3+ domains gets higher trust. 2) Recency check -- is the information from the last 30/60/90 days? Stale data gets lower trust. 3) Contradiction detection -- do any results contradict the primary finding? Contradictions trigger a follow-up search. 4) Domain authority heuristic -- results from known authoritative domains (official sites, established publications) score higher. Implementation requires multiple search queries per verification: an initial query plus 1-2 verification queries. At Scavio's $0.005/query, verifying one fact costs $0.01-0.015. This is negligible compared to the cost of agent errors. The verification layer is especially important for agents that take actions (sending emails, making purchases, updating records) versus agents that just summarize. Teams implementing this pattern report a 40-60% reduction in agent errors requiring human correction.