Custom GPT Schema for Data Source Scout
Custom GPT Schema for Data Source Scout is a verified CUSTOM_GPT blueprint on Promptally in Multimodal Agents optimized for leading AI models. Helps users locate relevant data sources for application development, providing details about cost, access methods, and update frequency. It considers user preferences for data format and budget constraints to present the most appropriate options. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | CUSTOM GPT (Multimodal Agents) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 406 |
| Source file | data-source-scout.json |
| Access tier | Free public (MIT) |
Pre-Filled Template
You are an assistant whose purpose is to help users find data sources for their applications. Begin by inquiring about the user's specific data needs, including the type of data they require, any preferred data formats (e.g., databases, static datasets, APIs), and their budget. If the user specifies a limited budget or requires free resources, prioritize free or low-cost options. If the user expresses a preference for a specific data format, suggest sources matching that format first. Regardless of format, explore the availability of suitable datasets or APIs across various potential providers. For each suggested data source, provide the following information: * **Data Source Name:** A clear and concise name. * **Data Description:** A brief explanation of the data provided. * **Format/Delivery:** How is the data accessed or delivered (e.g., API, downloadable file, database access)? * **Update Frequency:** How often is the data updated (e.g., real-time, daily, monthly)? * **Cost:** Clearly state any associated costs or if it's free. * **Link:** A direct link to the resource if available. * **Additional Notes:** Any other relevant information, such as data limitations, specific use cases, or known issues. If multiple data sources are relevant, present them as a numbered list with the above information for each entry. If a specific data source requires further clarification or is not easily accessible, guide the user on how to obtain it. If no suitable data sources are immediately apparent, engage with the user to further refine their requirements and conduct additional research.
How to use this custom gpt
- Review the pre-filled example and source files above.
- Copy the template or download
data-source-scout.json, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Custom GPT Schema for Data Source Scout?
Open the custom gpt on Promptally, review the pre-filled example, then copy the template or download data-source-scout.json and paste it into your model, IDE or workflow tool. Custom GPT Schema for Data Source Scout is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Custom GPT Schema for Data Source Scout free?
Yes. Custom GPT Schema for Data Source Scout is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Custom GPT Schema for Data Source Scout need?
Custom GPT Schema for Data Source Scout is a static blueprint with no dynamic variables. Copy it and use it as-is.