Pricels is now Pricenometry

Last year we launched our Realtime Pricing API with a number of companies successfully Beta testing our system right out of the door.

Our realtime analytics data also generated some interesting stories and articles including this one on the 5 most spendy things you can buy on Amazon right now.

We also launched our public Search Interface which we are slowing building out into what will become our main public facing product online where you will be able to search for and follow any product online with a price tag.

With all of these successful milestones now met, we felt after almost 3 years of development it was time to rebrand Pricels into something more memorable and long lasting, we needed a brand that could take us beyond a simple research project and into something people could use and have discussions about.

Pricenometry as our new brand is the culmination of our love for pricing and predictive mathematics as well as an overture for what we are building, the future of realtime pricing online...

Realtime API launches today

After nearly a year of research and development we are happy and proud to anounce our API launch.

As of yesterday we soft launched a working API with full documentation at http://developers.pricenometry.com and so far the reception has been very exciting.

Over the past few days we've been handing out free API keys for anyone wanting to test it out (rate limiting them to 100 requests per day).

I wanted to highlight a few of the main features of the current working API that are already documented in the link above.

A few months ago we sat down with the former division head of a large fortune 500 company and he showed us three things we needed to focus on in order to succeed in the market intelligence space.

Speed of Data

The first piece of advice was already the cornerstone of what we were building, we needed to build a system that is effectively real time and faster at gathering and collecting data than anything else on the market today.

When you run the below API request you'll see that we are constantly collecting data, we never stop indexing which allows us to give you the fastest possible search and most up to date pricing on everything you are following.

http://api.pricenometry.com/v1/?access_token=YOUR-API-KEY

{
    "response": {
        "status": 200
    },
    "active": true,
    "api_usage_cap": 100,
    "api_last_used": "2015-02-25",
    "api_daily_usage": 2,
    "available": {
        "amazon-offers": "3.1M",
        "walmart-offers": "170.3K",
        "costco-offers": "83K",
        "target-offers": "38.4K"
    },
    "indexing": "1.1M",
    "processing": "440.4K",
    "pending": "947.2M"
}

When a customer makes an API request like the one below, our system immediately uses it's scalability and speed to gather the most recent changes right away.

http://api.pricenometry.com/v1/amazon-offers/B00DR0PDNE?access_token=YOUR-API-KEY

{
    "response": {
        "status": 200
    },
    "url": "http://www.amazon.com/Google-Chromecast-Streaming-Media-Player/dp/B00DR0PDNE",
    "date": "2015-02-25",
    "id": "B00DR0PDNE",
    "tags": [
        "Google",
        "Chromecast",
        "HDMI",
        "Streaming",
        "Media",
        "Player",
        "Inc.",
        "H2G2-42",
        "86002596-01"
    ],
    "name": "Google Chromecast HDMI Streaming Media Player",
    "description": "Amazon.com: Google Chromecast HDMI Streaming Media Player: Electronics",
    "type": "Offer",
    "image": "http://ecx.images-amazon.com/images/I/811nvG%2BLgML._SL1500_.jpg",
    "sku": "B00DR0PDNE",
    "screenshot": "B00DR0PDNE/2015-02-24.jpg",
    "price": "30.07",
    "original_price": "35.00",
    "facebook_shares": 48466,
    "google_shares": 5776,
    "twitter_shares": 177,
    "reddit_shares": 149,
    "linkedin_shares": 364,
    "pinterest_shares": 106,
    "stumbleupon_shares": 23,
    "total_shares": 55061
}

Our data is analyzed and processed faster than anyone else, this is how we are able to process data on a daily basis, no more waiting a month or a week for accurate and large scale calculations.

Accuracy of Data

The second part of the advice we got was on being able to prove that our data is accurate, we have done this by documenting every change across a multitude of data points, indexing them in our search api and keeping them around for the long term.

http://api.pricenometry.com/v1/amazon-offers/B00DR0PDNE/history?access_token=YOUR-API-KEY

{
    "response": {
        "status": 200
    },
    "id": "B00DR0PDNE",
    "name": "Google Chromecast HDMI Streaming Media Player",
    "sku": {
        "2015-02-09": "B00DR0PDNE"
    },
    "screenshot": {
        "2015-02-09": "B00DR0PDNE/2015-02-09.jpg",
        "2015-02-10": "B00DR0PDNE/2015-02-10.jpg",
        "2015-02-21": "B00DR0PDNE/2015-02-21.jpg",
        "2015-02-24": "B00DR0PDNE/2015-02-24.jpg"
    },
    "price": {
        "2015-02-09": "32.49",
        "2015-02-10": "31.78",
        "2015-02-21": "30.07"
    },
    "original_price": {
        "2015-02-09": "35.00"
    },
    "facebook_shares": {
        "2015-02-09": 48466
    },
    "google_shares": {
        "2015-02-09": 5803,
        "2015-02-24": 5776
    },
    "twitter_shares": {
        "2015-02-09": 174,
        "2015-02-24": 177
    },
    "reddit_shares": {
        "2015-02-09": 146,
        "2015-02-10": 144,
        "2015-02-24": 149
    },
    "linkedin_shares": {
        "2015-02-09": 351,
        "2015-02-10": 358,
        "2015-02-24": 364
    },
    "pinterest_shares": {
        "2015-02-09": 106
    },
    "stumbleupon_shares": {
        "2015-02-09": 23
    },
    "total_shares": {
        "2015-02-09": 55075,
        "2015-02-10": 55074,
        "2015-02-24": 55061
    }
}

Apart from tracking every change that occurs we also take a screenshot of every time we hit a website, this allows us to both find discrepancies if any exist as well as prove to our cusotmers that our pricing data is more accurate that of anyone else on the market.

http://api.pricenometry.com/v1/amazon-offers/B00DR0PDNE/2015-02-24.jpg?access_token=YOUR-API-KEY

By following this approach, we ensure that if any of our competitors present our customers with conflicting data, we can contradict with cold hard truth and not outdated spreadsheets.

Simplicity of Data

Finally the last bit of advice we got was that we had to make it stupid simple, this was the most important part of our customer experience.

The below example shows how easy our search and match API endpoints are, by using fuzzy matching and incremental product search we are able to provide real time availability and pricing data from multiple sites and sources.

http://api.pricenometry.com/v1/search/chromecast?access_token=YOUR-API-KEY

{
    "response": {
        "status": 200
    },
    "results": [
        {
            "id": "B00DR0PDNE",
            "name": "Google Chromecast HDMI Streaming Media Player",
            "container": "amazon-offers"
        },
        {
            "id": "811571013579",
            "name": "Google Chromecast HDMI Streaming Media Player",
            "container": "walmart-offers"
        },
        {
            "name": "Google Chromecast HDMI Streaming Media Player",
            "id": "15460778",
            "container": "target-offers"
        },
        {
            "id": "945132",
            "name": "Google Chromecast HDMI Streaming Media Player with $10 Google Play Credit",
            "container": "costco-offers"
        }
    ]
}

A simple search for the name 'chromecast' will return the above results or our matcher service will allow you to pass something in like a Manufacturer Part Number or Part ID and find the identical ID's on other sites almost immediately, fuzzy matching allows the product numbers not to be exact for them to match perfectly which makes it super easy to track the same product across hundreds of sites instantaneously.

So if you're interested in Getting API Access then we'd love to have you take our system for a spin, we know that once you've started using us, you won't want to use anything else.

Alpha version of Dashboard sneak peak

So it's the end of CES 2014 and we had a blast, made some really interesting contacts along the way and got some great startup advice.

We spent a lot of time in our hotel room coding up the alpha version of our Dashboard when we weren't visiting booths and because we got so much done we wanted to give you guys a sneak peak of what we've built.

Keep in mind this is just our alpha version and we will be making many changes before our final launch in 2015. Our main focus will initially be on our API and then eventually the dashboard will follow.

Dashboard Now Supports Mobile

CES 2014 is coming up and we are looking forward as a startup to learn a ton about the industry as well as how to make our dashboard and our overall product much better.

We won't just spend the week meeting people though, we will also spend it coding as many great changes as are suggested, so in honor of being quick and nimble enough to make changes as we go, I'd like to reveal some screenshots of our attempt to integrate mobile support to our dashboard.

This is the first time we've shown the alpha version of our platform and we hope that these images will give you a glimpse into what we are building.

Aside from allowing people to handle categories, we will make a significant emphasis on search so stay tuned for more anouncements.

CES 2014 here we come...

Why Build a Product Dashboard?

Before we started building our Ecommerce Dashboard we decided to do some Customer Validation to see if there is a need for being able to follow any product, anywhere, anytime with daily real time updates. You can read more about what we do and get a better perspective of our business and industry.

We are creating a system to change the way people research product pricing by designing an analyst independent, fully automated and accurate product market place where researchers can follow in real time any product for any business in the world in potentially any market.

Customer Validation

We decided to do some customer validation over a weekend, we sent the below survey out to over 658 people across many industries that could value and use this kind of tool. The responses we received on just a single day showed the business need and how important this kind of tool is to some people that they would go out of their way to give us these answers on a Saturday. First we asked them what kind of information they are looking for.

It was clear that the top 3 things most people needed for their market research is Purchase and Original Price along with product descriptions. Reviews came in fourth followed by Shipping. Then we asked them where they get their data?

It is obvious from the answers provided from this question that people are willing to take the time and collect this information themselves. There is a market here if we can remove the need for them to do the research themselves and make it more cost effective in the long run. Then we asked them about how they get their trends?

This question may not have told us much in the way of what potential customers already get, but it did tell us that a larger majority either doesn't receive it or don't understand the product well enough to do competitive analysis, a potential market to teach on the benefits of market intelligence. Then we asked him if they are happy with the speed with which they get their data?

This is overwhelming evidence that a daily data feed sent directly to people would be a winner at least in the small group segment surveyed. We would need to extend our existing pool but for now it’s glaringly obvious that no one does it fast enough. Then we asked them about the speed of their information?

For most of the individuals on the list this information is sparse and scarce to say the least, the fact that most of them don’t know how up to date their data is actually shows a lack of clarity in the pricing intelligence market that is needed. Then we asked how valuable this kind of data is to them?

Another obvious one from the onset, as Google likes to say in their 10 Things We Know to be True, Faster is better. The value people placed in this data is what we were looking for, then we asked them if there is a market there that they would pay for?

This question shows us that the need not just for a faster solution, but a cheaper one, remove most of the humans from the equation and what you’re left with is simply the cost of automation and hardware processing in the background. Then we asked them about the satisfaction of the data they are collecting or receiving?

Most of this industry works with Excel or older more arcane methods of data parsing and analyzing so this doesn't really tell us any more than we already knew, the fact that only a small segment is satisfied tells us how non standard the existing systems must be. Then we wanted to know about how many products they follow or would like to follow regularly?

It’s interesting to see that the number of products a product or research analyst may need to follow or keep track of is actually relatively small compared to the amount of data you would need to pull in order to pull this off, that’s where our secret sauce comes in.

On the same day this survey was sent, we also received a total of 6 email addresses asking to sign up for the service as soon as it’s available, this was way more real and available customers than we had anticipated and shows us the hunger for this even more. We hope to tell you more about our API coming in 2014 and Dashboard service as we slowly roll it out in 2015.