I was just glossing over my billing history and to my surprise found out I've been charged $28.71 for Cloud Vision API Cloud Vision API Label Detection Operations. I'm really confused because it says I have "5356 counts".
The Cloud Vision pricing table lists 1001-1000000 units as $5.00 for Label Detection.
Is this a mistake on Google's billing or am I interpretting the pricing incorrectly? I've read over the description several times and am not sure how I could be misunderstanding the breakdown.
Price per 1000 units
If the count includes free quota then you have 4356 units. If the units are rounded up to 5000, then you have 5 units x $5 = 25 (+ tax?)
Pricing Chart
npe's answer is accurate. Adding more details that I have.
Had the same issue. I mailed the sales team and the
https://cloud.google.com/vision/
The tag they added to resolve any such confusions is : "Price per 1,000 units, by monthly usage"
Thanks
Suman
Related
I have the following problem: I have a dataset with over 1million entries (shown below), that includes the variables company (=Name of the company (string)) and reviews (=amount of reviews a company received) and company1 (assigns numeric to specific company name). Now I want to calculate the average amount of reviews a company in the dataset receives. But if I just do sum reviewsthen it will count the amount of reviews of company 3 two times, the amount of reviews of company five 23 times etc. (as often as they are listed in the data). How do I avoid this and only count them once?
Your image is not readable (by me on a laptop). The Stata tag wiki gives detailed advice on how to give data examples and the command dataex bundled with recent versions of Stata is easily used for SE.
The flavour of your request is easier to follow. Here is an analogue. With the Grunfeld data we can calculate a mean investment for each year.
webuse grunfeld, clear
egen mean = mean(invest), by(year)
Now we might want to know how many years had mean invest above 200 (in the units used)?
su mean if mean > 200
or
count if mean > 200
returns the number of observations (not years). If you try it, the result is 30. In the Grunfeld data, there are 10 companies each measured for each year, so dividing by 10 is an easy answer. For more complicated datasets, it would better to tag each year just once, and then look only at tagged observations:
egen tag = tag(year)
count if tag & mean > 200
It would be more common to tag panels, not years, but the principle is the same. See the help for egen.
collapse and contract offer other routes, with or without using frames.
I am looking to do some analysis around plastic recycling and interested to know if there is any dataset that gives recycling information for products sold in US. For ex: a product with UPC/EAN number has a resin code of 1 (number written at the bottom of a plastic container). If you have any ideas on how to start creating it will be helpful as well. I understand there is something out there that gives information of a general 1 gallon milk container but I am looking at information on a brand/manufacturer level.
Thanks
I'm building a search engine which provide me a list of cap drivers. We have some requirements:
User is searching cheapest cap driver to bring him from place a to place b. He can go from any place to any place.
Default formula would be distance * price per mile
But there are also special prices like AMSTERDAM to THE HAGUE would be always 100 EUR
The price for each mile is season based winter/summers have different prices.
Faceting search based on attributes. Like is there Champagne/Luxory/Male/Female driver/Etc etc.
User want's to sort on cheapest ride/but also distance.
What would be the best approach to fit all there requirements? I've tried Solr but have not found a good solution for putting the price modal in there. Any ideas?
I'm just deciding between GSS (Google Site Search) and CSE (Custom Search Engine) with JSON API. But I'm a little bit confused about JSON API billing.
My approved start budget is 100$ per year which allows 20 000 queries/year in GSS but how many queries will I get in JSON API and how I must set quota to not exceed the budget?
I have opinion how google makes billing:
Price of 1 query is 0.005$ = 5$ / 1000 queries => https://developers.google.com/custom-search/json-api/v1/overview#pricing
Google adds day queries (over 100 free) and then create billing for month. So my quota has to be set to 154 (100 free + 54):
54 queries per day * 31 days * 12 months = 20 088 queries * 0.005$ = 100,44$ which is maximum I will pay (lesser maybe).
Am I right? Or google makes billing in different way?
We're using 3 marketplaces - our local is UK, so we've got GBP figures for the payment settlement reports, but the other 2 are in EUR. I could do with at least knowing how much Amazon have paid us in GBP for the 2 EUR reports, but I can't see any way of doing that?
I'm open to the idea of using some other API to get Amazon's payout exchange rates on the date of the report or other ideas.
I realise that I can use an external currency exchange data source, but I want to know what Amazon's exchange rate is for paying out since they almost certainly won't match.
I have tried all 3 settlement reports: -
_GET_FLAT_FILE_PAYMENT_SETTLEMENT_DATA_
_GET_PAYMENT_SETTLEMENT_DATA_
_GET_ALT_FLAT_FILE_PAYMENT_SETTLEMENT_DATA_
All settlement information uses the currency of the corresponding marketplace: your Amazon.co.uk settlement will be in GBP, while an Amazon.de settlement will be in EUR. The conversion to another currency is not part of the settlement.
IIRC, it is the bank that actually converts it to GBP, not Amazon. Therefore, you will not find an Amazon API to find its conversion rate (or conversion fees for that matter).