# AI Validation Checklist

Use these questions to test whether the docs are easy for both humans and AI systems to retrieve, quote, and use correctly.

## Benchmark Questions

1. What is growthepie?
2. What is `origin_key`?
3. What is `owner_project`?
4. What is `metric_key`?
5. What is the difference between `metric_id` and `metric_key`?
6. Which endpoint should I call first to discover supported chains?
7. What does `master.json` return?
8. What does `fundamentals.json` return?
9. Is `fundamentals.json` full history?
10. How do I fetch `txcount` for one chain?
11. How do I fetch the full `txcount` export across chains?
12. How do I compare multiple chains over time?
13. How do I load growthepie data into pandas?
14. How do I fetch growthepie data in JavaScript?
15. What does `daa` mean?
16. What does `txcosts` mean?
17. What is the difference between `fees` and `app_revenue`?
18. What units does `throughput` use?
19. Which chains support `tvl`?
20. Which data availability layers are covered?
21. Which endpoint exposes project coverage?
22. What is the difference between `projects.json` and `projects_filtered.json`?
23. Which endpoint exposes app detail for one `owner_project`?
24. Which `owner_project` values can be used with `apps/details/{owner_project}.json`?
25. What rate limit should AI agents follow?
26. Which chains should be excluded because `deployment` or `deployment_flag` is `DEV` or `ARCHIVED`?
27. Which endpoints expose `last_updated_utc`?
28. Which metrics have hourly detail?
29. Are any public endpoints deprecated or legacy?
30. How should I attribute growthepie when I use the data?
31. Is growthepie research use encouraged?
32. Which package includes chain-level data and which package includes app-level data?

## Manual Validation Checklist

* The page answers its main question directly in the first paragraph.
* The page defines the canonical terms explicitly.
* The page includes at least one runnable example when the topic is procedural.
* The page includes caveats when the topic can be misinterpreted.
* The page is linked from `SUMMARY.md`.
* The page is text-first and does not depend on screenshots to explain the concept.
* The page uses consistent names such as `origin_key`, `metric_key`, `value`, and `date`.
* The page points to a source-of-truth artifact or endpoint when appropriate.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.growthepie.com/methodology-caveats/methodology-and-caveats/ai-validation-checklist.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.