Semilattice - audience prediction

Name: Semilattice - audience prediction
Author: semilattice

Test content, personalise features, and A/B test decisions with accurate audience prediction. Semilattice MCP lets agents predict things about your audience. Your agent could predict which email subject line or website copy your audience would prefer. Or it could predict which use cases your audience wants to see in a new product experience. Audience predictions are >87% accurate on average and take <20 seconds to complete.

该来源不提供完整文件导出（国内平台多为平台内托管），仅存元数据与原链

模型生成摘要（rules/v1 · 2026-09-27 16:14）：Test content, personalise features, and A/B test decisions with accurate audience prediction
这是模型对公开材料的总结，不是官方声明，请以原链内容为准。

接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://semilattice--semilattice.run.tools

鉴权方式未标注，请核对官方文档后再接入——不要直接使用以下片段

{
  "mcpServers": {
    "Semilattice - audience prediction": {
      "url": "https://semilattice--semilattice.run.tools"
    }
  }
}

能力清单

工具	说明
list_population_models	List all available population models. Returns: List of population model dictionaries, each containing an 'id' field that can be used with create_prediction()
create_prediction	Predict how a population would answer a question. Args: population_id: The ID of the population model to use. Get valid IDs by calling list_population_models() question: The question to ask the population answer_options: List of possible answer choices question_type: Either "single-choice" or "multiple-choice" (default: "single-choice") Returns: Dictionary containing the prediction with an 'id' field (initially status will be "Queued"). Use the 'id' field with get_prediction() or wait_for_prediction() to check results.
get_prediction	Retrieve a prediction by ID to check its status and results. Args: prediction_id: The ID of the prediction to retrieve. This is the 'id' field returned by create_prediction() Returns: Dictionary containing prediction status and results (if completed)
wait_for_prediction	Wait for a prediction to complete and return the results. Predictions typically take ~20 seconds to complete. Args: prediction_id: The ID of the prediction to wait for. This is the 'id' field returned by create_prediction() max_wait_seconds: Maximum time to wait in seconds (default: 60) Returns: Dictionary containing completed prediction results with 'predicted_answer_percentages'

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