What happens if sources provide conflicting data?

If values differ by more than 1%, the skill triggers a VALUE_MISMATCH error, preventing the agent from reporting potentially false data.

Is this skill an executable function?

No, it is a protocol document that provides instructions and patterns for an AI agent to follow when using search tools like mcp_websearch_web_search_exa.

Which sources are considered Tier 1?

Tier 1 sources include official entities like FRED (St. Louis Fed), the Federal Reserve, the Bank of Korea, and Bloomberg.

How does it prevent hallucinations?

It mandates that the agent must extract 'original_text' from search results and match values across at least three independent, high-authority sources.

Web Search Verifier

Name: Web Search Verifier
Author: orientpine

byorientpine

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网络抓取与数据收集

Standardizes multi-source web search protocols to eliminate AI hallucinations when collecting critical macroeconomic and financial data.

The Web Search Verifier is a specialized verification framework designed for AI agents tasked with gathering high-stakes financial data such as interest rates, stock indices, and exchange rates. Instead of relying on single-source information, this skill enforces a mandatory triple-source verification protocol, requiring agents to cite original text snippets and match values across independent platforms like FRED, Bloomberg, and Trading Economics. It serves as a primary defense against data hallucinations by mandating strict source hierarchy and providing structured error handling for data discrepancies, ensuring that every data point is accurate, fresh, and verifiable.

主要功能

01Structured JSON output schema for automated downstream data processing

02Strict variance checking with a ±1% tolerance for data consistency

03Mandatory original text citation for evidence-based reporting and auditing

049 GitHub stars

05Triple-source cross-verification protocol requiring 3+ independent sources

06Tier-based source allowlist prioritizing official central bank and exchange data

使用场景

01Verifying central bank interest rates from official government sources

02Real-time collection of global macroeconomic indices like S&P 500 or KOSPI

03Tracking currency exchange rates with high-precision source attribution

主要功能

01Structured JSON output schema for automated downstream data processing

02Strict variance checking with a ±1% tolerance for data consistency

03Mandatory original text citation for evidence-based reporting and auditing

049 GitHub stars

05Triple-source cross-verification protocol requiring 3+ independent sources

06Tier-based source allowlist prioritizing official central bank and exchange data

使用场景

01Verifying central bank interest rates from official government sources

02Real-time collection of global macroeconomic indices like S&P 500 or KOSPI

03Tracking currency exchange rates with high-precision source attribution