Question about statistic api



    I've tried using ogapi on various configurations on various servers.

    My question is whether these statistics require the private key to return snapshots or saves, daily, weekly, etc.



    for exaple

    Code
    1. https://ogapi.faw-kes.de/v1/statistics/268/it/2025-12-01/1/1


    the given result is the following:



    Code
    1. "RESULT_CODE": 1000, "RESULT_DATA": [ { "statistic_date": "2025-11-30 00:00:00", "combat_count": "926", "spy_count": "1651", "recycle_count": "263", "missile_count": "0" }, { "statistic_date": "2025-12-01 00:00:00", "combat_count": "1002", "spy_count": "1467", "recycle_count": "247", "missile_count": "4" } ]
    2. }

    it only returns data related to spying, CR, and combat.


    My question is: with a possible API key request, is it possible to retrieve data related to the various rankings (Economy, Research, Fleet, and Lf) with the relevant filters?

  • Hello,


    this confusion is caused by an incorrect description in the API documentation thread.


    The statistics endpoint was previously described as providing “historical ranking data”, which was misleading. This wording has now been corrected.


    The endpoint only returns aggregated daily report activity statistics, specifically:

    • combat report count
    • espionage report count
    • recycler report count
    • missile report count

    The data returned by your example is therefore correct.


    A personal API key does not change the type of data returned by this endpoint.


    So to answer your question directly: no, requesting an API key will not enable retrieval of ranking history through this endpoint.

  • RiV-

    Set the Label from Information to Questions
  • No, there is currently no dedicated API that provides historical highscore or leaderboard data.


    The public highscore API only exposes the current snapshot of the rankings at the time it is updated. Historical progression data is not stored or made available through any official endpoint.


    If you need this kind of data, you would have to collect and store the regular highscore snapshots yourself and build the historical dataset independently.