GoBuy
An AI-powered shopping assistant product that performs in-depth analysis of e-commerce reviews through methods including per-review evidence extraction, statistical aggregation, and longitudinal signal analysis. Its primary objective is to address the challenge of review trustworthiness in online retail environments.
Timeline (last 90 days)
GoBuy uses a lower bound on the positive rating rate similar to the Wilson interval for statistical aggregation, incorporating sample size into the score.
GoBuy's output is an Evidence Score, representing what the market record can support, and does not represent product quality, safety, or a purchase recommendation.
GoBuy provides the Evidence Score to agents via the MCP tool check_product_trust, which is free and requires no API key.
GoBuy provides the GPV-1 specification, which lists eight conditions that agents must satisfy before any autonomous checkout.
GoBuy's server side has been open-sourced under the MIT license.
All Facts (5)
GoBuy uses a lower bound on the positive rating rate similar to the Wilson interval for statistical aggregation, incorporating sample size into the score.
50%UnverifiedGoBuy's output is an Evidence Score, representing what the market record can support, and does not represent product quality, safety, or a purchase recommendation.
50%UnverifiedGoBuy provides the Evidence Score to agents via the MCP tool check_product_trust, which is free and requires no API key.
50%UnverifiedGoBuy provides the GPV-1 specification, which lists eight conditions that agents must satisfy before any autonomous checkout.
50%UnverifiedGoBuy's server side has been open-sourced under the MIT license.
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