What problem does it solve?
This Skill standardizes web search workflows to prevent hallucinated numeric data when collecting macroeconomic indices, exchange rates, and interest rates by enforcing multi-source cross-verification and strict citation rules.
Core Features & Use Cases
- Three-source cross-check: Requires at least three independent sources with one tier-1 official source for every numeric value before acceptance.
- Original-text provenance: Mandates including the exact quoted original_text from search results alongside parsed numeric values and source URLs.
- Fail-safe validation: Enforces date alignment, ±1% variance tolerance, blocklist avoidance, retry policies, and clear failure codes for automated handling.
- Use Case: An index-fetcher agent queries S&P 500, runs three parallel searches with mcp_websearch_web_search_exa, extracts original_text from each result, computes variance, and returns a verified JSON payload or a FAIL with diagnostic code.
Quick Start
Ask the agent to call mcp_websearch_web_search_exa for the target metric, extract original_text and URLs from three independent sources including one official source, verify date and ±1% variance, and return the structured verified result.