
Finance & Crypto on Telegram
We check every object in the category by querying Telegram and rank on what we measured. The score is a position inside this category, not an absolute grade.
Inside the Finance & Crypto category
The category holds 25 bots, and 25 of them answer our check. Every object is checked automatically, and the date of the last check is shown on its card.
Bots have no public user counter — only the owner knows that number. So we measure behaviour instead: whether the bot answers and how fast. Response time in this category stays between 309 and 982 ms, with a median of 350 ms.
The second measurable value is mention reach: total views of posts in public channels that link to the bot. Mentions are harder to manage than a catalogue description, so they show more reliably whether a bot is in use. In this category such mentions were found for 14 bots.
The category is currently led by “@TON_Wallet_bot” with a score of 62. The score is a position inside this same category, not an absolute grade: comparing it with the score of an object from another category makes no sense, because the samples differ. The formula is public — anyone can recompute it.
If the bot you are after is missing, it may simply not have been crawled yet. The catalogue grows on its own: we pick up names from public mentions and open lists, check each one against Telegram and add the live ones. How to add or remove an object.