# data[].attributes.body
every county takes their own time to update the data!

# data[].attributes.headline
We are not able to look exact mls date sales

# data[].attributes.subject
We are not able to look exact mls date sales

# data[].attributes.headline
more datapoints=higher confidence in the information extrapolated from them

# data[].attributes.subject
more datapoints=higher confidence in the information extrapolated from them

# data[].attributes.headline
Actual sale price from the public recordss, MLS guaranteed 99% accuracy of the actual sold price from the MLS sale.  Dates would be different, MLS is quicker to update vs the public records

# data[].attributes.subject
Actual sale price from the public recordss, MLS guaranteed 99% accuracy of the actual sold price from the MLS sale.  Dates would be different, MLS is quicker to update vs the public records

# data[].attributes.headline
Because the MLS data is inputted by the agent and the Public record info is the actual price that was recorded.

# data[].attributes.subject
Because the MLS data is inputted by the agent and the Public record info is the actual price that was recorded.

# data[].attributes.body
One of the reasons is that we may not have gotten the PR amount yet, it can sometimes take a little longer so we might have the MLS sales price/date before we get the PR info.

# data[].attributes.headline
MLS data can potentially arrive faster than PR, so in the example, we havent received the PR sales record yet.

# data[].attributes.subject
MLS data can potentially arrive faster than PR, so in the example, we havent received the PR sales record yet.

# data[].attributes.body
The Agent input the information in wrong

# data[].attributes.body
Because they are recorded into their respective systems by two different people

# data[].attributes.body
If a sale took place recently that the MLS was able to record, but the public record has not been updated yet.

# data[].attributes.body
for that property, the public record is from 2017 and the mls is from this year

# data[].attributes.headline
We are not able to display the exact mls sales date or mls sale price

# data[].attributes.subject
We are not able to display the exact mls sales date or mls sale price

# data[].attributes.headline
The most recent sale hasn't recorded with the county yet

# data[].attributes.subject
The most recent sale hasn't recorded with the county yet

# data[].attributes.body
Public record data is slower to update than MLS data sets

# data[].attributes.headline
Human error (1) and the date that the record was actually added to that particular system (2)

# data[].attributes.subject
Human error (1) and the date that the record was actually added to that particular system (2)

# data[].attributes.headline
county does not post as fast as mls due to agents input info asap

# data[].attributes.subject
county does not post as fast as mls due to agents input info asap

# data[].attributes.headline
Human error, agent forgot (or on purpose) to update the MLS with the actual sale price

# data[].attributes.subject
Human error, agent forgot (or on purpose) to update the MLS with the actual sale price

# data[].attributes.body
More accurate + More awesome

# data[].attributes.headline
For comping, it can give you multiple options to choose from, and in NDA states, it can give you really good sales data. It can also give you more options to choose from for comping

# data[].attributes.subject
For comping, it can give you multiple options to choose from, and in NDA states, it can give you really good sales data. It can also give you more options to choose from for comping

# data[].attributes.body
Public Records - Shows off and on market transactions

MLS - Active listings and sales that haven't been recorded at the county. Also sold comps are great for non-disclosure states.

# data[].attributes.body
Using both will give the most possible results. PR comps can sometimes take a little longer so having the MLS comps in there as well will give us all possible comps available at that moment.

# data[].attributes.body
Access to all sales that occurred publicly and through the MLS

# data[].attributes.headline
MLS comps are quicker and public record is more accurate. So together they're awesomeness

# data[].attributes.subject
MLS comps are quicker and public record is more accurate. So together they're awesomeness

# data[].attributes.headline
Comping to clarifying accuracy of the sale price

# data[].attributes.subject
Comping to clarifying accuracy of the sale price

# data[].attributes.headline
Being able to have more accuracy having information from both Public Records & MLS

# data[].attributes.subject
Being able to have more accuracy having information from both Public Records & MLS

# data[].attributes.body
more accurate records

# data[].attributes.body
You can easily see 'the best of both worlds' in one spot in Comps

# data[].attributes.headline
Easily cross reference to get a more accurate view of the property from multiple sources.

# data[].attributes.subject
Easily cross reference to get a more accurate view of the property from multiple sources.

# data[].attributes.body
https://media.giphy.com/media/4LXQcnVOjAZLRpIR6a/giphy.gif

# data[].attributes.headline
Because due to regulations, we cannot reveal the exact sales price.

# data[].attributes.subject
Because due to regulations, we cannot reveal the exact sales price.

# data[].attributes.headline
MLS rules prevent us from displaying exact amount so we display 99%+ accurate estimation

# data[].attributes.subject
MLS rules prevent us from displaying exact amount so we display 99%+ accurate estimation

# data[].attributes.headline
We are not allowed to show due to MLS regulations which is why we have an algorithm that we will show a 99% accuracy  

# data[].attributes.subject
We are not allowed to show due to MLS regulations which is why we have an algorithm that we will show a 99% accuracy  

# data[].attributes.body
Regulations

# data[].attributes.headline
Third parties are not allowed to display the exact sales price.

# data[].attributes.subject
Third parties are not allowed to display the exact sales price.

# data[].attributes.headline
To keep in accordance with the current rules and regs of MLS's, we estimate the MLS sales price within 1% of the actual MLS sales price

# data[].attributes.subject
To keep in accordance with the current rules and regs of MLS's, we estimate the MLS sales price within 1% of the actual MLS sales price

# data[].attributes.headline
due to the MLS regulations, we cannot report the actual sales price. Instead, wet put the amount into an algorithm to get an estimate that is over 99% accurate (less than 1% off of the actual sales price).

# data[].attributes.subject
due to the MLS regulations, we cannot report the actual sales price. Instead, wet put the amount into an algorithm to get an estimate that is over 99% accurate (less than 1% off of the actual sales price).

# data[].attributes.headline
Due to regulations, we can only give a estimate that is super close

# data[].attributes.subject
Due to regulations, we can only give a estimate that is super close

# data[].attributes.headline
The overloads of real estate deem it to be so

# data[].attributes.subject
The overloads of real estate deem it to be so

# data[].attributes.headline
Per our contract we cannot disclose the exact amount.

# data[].attributes.subject
Per our contract we cannot disclose the exact amount.

# data[].attributes.headline
Regulations about third parties accessing private MLS data

# data[].attributes.subject
Regulations about third parties accessing private MLS data

# data[].attributes.headline
because we can't display actual sold price to users

# data[].attributes.subject
because we can't display actual sold price to users

# data[].attributes.headline
We are unable to display the exact amount due to regulations

# data[].attributes.subject
We are unable to display the exact amount due to regulations

# data[].attributes.body
Because it is still against MLS regulations to publish the actual MLS sales price so we instead estimate it within 99% of the actual.

# data[].attributes.body
Because the MLS said we can't use exact data.