Response Formats
Klout will return data using a number of different Response Objects. Each of these objects attempts to model the data in a manner than is easy-to-understand while also representative of the natural relationships between properties.
Responses are available in JSON and XML.
User Score Pair
- twitter_screen_name
- kscore
User Object
- twitter_id
- twitter_screen_name
- kscore - Klout Score
- slope - 30-day delta of score. Positive == positive change.
- kscore_description - textual description of the score's meaning
- network_score
- amplification_score - Measurement of relative probability that communication will be amplified across network (think: retweet)
- true_reach
- kclass - numeric unique class ID
- kclass_description - textual description of the class.
- delta_1day - 1-day delta of score. Positive == positive change.
- delta_5day - 5-day delta of score. Positive == positive change.
6 Comments
VladP – 8 months ago
Descriptions for majority of output parameters, like 'kscore', 'network_score', could be easily found and they are quite understandable. But, it seems for me that some information is missing. It would be really helpful if Klout could provide following information:
'slope' - what exactly it is? How it is calculated? Description similar to 'kscore', 'true_reach' and others.
'kclass' - It seems that Klout has either 16 or 17 types of classes - (1-16) or (0-16). Could be very nice to have a list of these classes and conditions when people move from one class to another. Like: class 'Celebrity' means that 'kscore' from 76 to 100; 'Explorer' means that 'kscore' from 20 to 49.
What are 'delta_1day' and 'delta_5day'? What is the purpose and how Klout suggests to use them?
Unfortunately, I could not find answers for these questions on Klout web site.
Thanks a lot
KloutAPITeam – 8 months ago
Hello,
We're working on updating the documentation now, and I'll be happy to keep this in mind. Slope and the delta fields are similar: slope is a representation of rate of change. Delta is the change in kscore for that user in the past day or 5 days.
VladP – 8 months ago
Thank you for quick reply. It is clear now that 'delta' represents how 'kscore' changed for last * day(s), I assume in %. For example, if 'kscore' is 70 and 'delta_5day' is -0.15, that means that 5 days ago 'kscore' was 15% more. i.e was 80.5. Please correct me if I'm wrong.
But about 'slope' ... ''rate of change'' of what it represens? 'kscore' is "covered" already. 'network_score'? 'true_cover'? or some combination?
beoliveira – 8 months ago
Hello guys,
I was having the same doubts as VladP. Thankfully, some of them were already answered here. However, I still have a few questions of my own to ask.
What exactly is represented by "true_reach"? What was the formula used to calculate that or what variables were taken into account to calculate that field?
E.g.: # of retweets in some given window of time, # of mentions, # of followers and retweeter's followers?
Also, if you could answer VladP's question about "slope" I'd be very happy.
Thank you.
francescgomez – 7 months ago
First of all, congrats to Klout for the amazing job done!
I have the same question as beoliveira and VlaP...
It's not enought to say that slope is "a representation of rate of change". Without a detailed description I can't convince my clients to use this or other parameters in their apps.
I hope you help me because I'm very interested in prescribe your product in Spain!
KloutAPITeam – 7 months ago
Happy to say that I've updated the documentation here to explain some of the more obtuse attributes.
Please sign in to post a comment.