The case of Continuum

This is the part that thrilled me the most. As a feature, Continuum is cool, you can imagine having a phone and PC all in one package. Turning your phone into a big-screen projector, then using your apps on the big screen. As a further convenience, you can also connect your mouse and keyboard.

After briefly trying this out in a real life setting, you truly understand its usefulness despite the fact that some apps are not supported, and some other apps didn’t align properly on the screen. We can forgive these maladies by saying the feature is still in its early stages, but it’s clear to see that this concept can be a goldmine if tapped right.

In Conclusion

In today’s highly competitive world of mobile technology, you wouldn’t need a soothsayer to tell you that there is a lot of potential in Microsoft’s new ideas. The issue here is that they might end up shooting themselves in the foot with lethargy. This Universal Apps concept, if  applied with sense, can gain Microsoft a lot in terms of usage and sales.

But so far, much of that perfect image has been lost, and the aforementioned lethargy undermined their great plans. Imagine having a phone that would support both Android and iOS apps… As if that wasn’t enough, the same device would also run same apps on your PC and tablet. There are many marketing lines to be gleaned from here, but then, this has not been realized after a year since its announcement.

Microsoft should put more efforts in enticing and sensitizing developers to get on this new plan. More should also be done in marketing, especially in developing countries. I say this because that’s where the larger number of untapped population can be found, and technologies like Continuum can greatly benefit the third world by providing affordable all-purpose devices.

The focus Microsoft had with the Lumia 950 has been in developed markets, which I think is wrong. People there, for the most part, already own smartphones and PC’s, therefore selling them a phone that can acts as a PC might not be the kind of feature they need, whereas the third world would be enamored with the concept.

Developing countries are the ideal places for Microsoft to be singing the phone-PC song. That’s a place where Continuum supported phones should be pushed, but not in the frame of the “expensive” Lumia 950/950XL. I was gutted when discovering that the Lumia 650 didn’t have support for Continuum — that would have been the ideal device for this region!

Best case scenario is Microsoft finally making a low end or mid-range device, priced not more than $200, with Continuum. We have heard that MediaTek chips would soon be supported by Windows 10 Mobile, so this should further reduce costs. Throw in support for Continuum followed by a good battery life, then market it aggressively in developing markets. I can assure you, that would be a hit!

Why do you think Microsoft didn’t squeeze the potential of these features? Would you like to see them become mainstream in your region? Let us know below!

About The Author

Sam Byford: So for someone who doesn’t know a lot about AI or Go, how would you characterize the cultural resonance of what happened yesterday?

Demis Hassabis: There are several things I’d say about that. Go has always been the pinnacle of perfect information games. It’s way more complicated than chess in terms of possibility, so it’s always been a bit of a holy grail or grand challenge for AI research, especially since Deep Blue. And you know, we hadn’t got that far with it, even though there’d been a lot of efforts. Monte Carlo tree search was a big innovation ten years ago, but I think what we’ve done with AlphaGo is introduce with the neural networks this aspect of intuition, if you want to call it that, and that’s really the thing that separates out top Go players: their intuition. I was quite surprised that even on the live commentary Michael Redmond was having difficulty counting out the game, and he’s a 9-dan pro! And that just shows you how hard it is to write a valuation function for Go.

Were you surprised by any of the specific moves that you saw AlphaGo play?

Yeah. We were pretty shocked — and I think Lee Se-dol was too, from his facial expression — by the one where AlphaGo waded into the left deep into Lee’s territory. I think that was quite an unexpected move.

Because of the aggression?

Well, the aggression and the audacity! Also, it played Lee Se-dol at his own game. He’s famed for creative fighting and that’s what he delivered, and we were sort of expecting something like that. The beginning of the game he just started fights across the whole board with nothing really settled. And traditionally Go programs are very poor at that kind of game. They’re not bad at local calculations but they’re quite poor when you need whole board vision.

Read more: Why Google's Go win is such a big deal

A big reason for holding these matches in the first place was to evaluate AlphaGo’s capabilities, win or lose. What did you learn from last night?

Well, I guess we learned that we’re further along the line than — well, not than we expected, but as far as we’d hoped, let’s say. We were telling people that we thought the match was 50-50. I think that’s still probably right; anything could still happen from here and I know Lee’s going to come back with a different strategy today. So I think it’s going to be really interesting to find out.

Just talking about the significance for AI, to finish your first question, the other big thing you’ve heard me talk about is the difference between this and Deep Blue. So Deep Blue is a hand-crafted program where the programmers distilled the information from chess grandmasters into specific rules and heuristics, whereas we’ve imbued AlphaGo with the ability to learn and then it’s learnt it through practice and study, which is much more human-like.

If the series continues this way with AlphaGo winning, what’s next — is there potential for another AI-vs-game showdown in the future?

I think for perfect information games, Go is the pinnacle. Certainly there are still other top Go players to play. There are other games — no-limit poker is very difficult, multiplayer has its challenges because it’s an imperfect information game. And then there are obviously all sorts of video games that humans play way better than computers, like StarCraft is another big game in Korea as well. Strategy games require a high level of strategic capability in an imperfect information world — "partially observed," it’s called. The thing about Go is obviously you can see everything on the board, so that makes it slightly easier for computers.

Is beating StarCraft something that you would personally be interested in?

Maybe. We’re only interested in things to the extent that they are on the main track of our research program. So the aim of DeepMind is not just to beat games, fun and exciting though that is. And personally you know, I love games, I used to write computer games. But it’s to the extent that they’re useful as a testbed, a platform for trying to write our algorithmic ideas and testing out how far they scale and how well they do and it’s just a very efficient way of doing that. Ultimately we want to apply this to big real-world problems.

I grew up in the UK in the late ‘90s and would see your name in PC magazines, associated with very ambitious games. And when I first started hearing about DeepMind and saw your name there I thought, "That kind of fits." Can you draw a line from your previous career in the games industry to what you do now?

Yeah, so something like DeepMind was always my ultimate goal. I’d been planning it for more than 20 years, in a way. If you view all the things I’ve done through a prism of eventually starting an AI effort, then it kind of makes sense what I chose to do. If you’re familiar with my stuff at Bullfrog and so on, you’ll know that AI was a core part of everything I wrote and was involved with, and obviously Peter Molyneux’s games are all AI games as well. Working on Theme Park when I was 16 or 17 years old was quite a seminal moment for me in terms of realizing how powerful AI could be if we really tried to extend it. We sold millions of copies, and so many people enjoyed playing that game, and it was because of the AI that adapted to the way you played. We took that forward and I tried to extend that for the rest of my games career, and then I switched out of that back to academia and neuroscience because I felt around the mid-2000s that we’d gone as far as we could trying to sneak in AI research through the back door while you’re actually supposed to be making a game. And that’s hard to do, because publishers just want the game, right?

Was it just that games of the era were the most obvious application of AI?

Yeah, I think so, and I actually think we were doing unbelievably cutting-edge AI. I would say at that stage academia was on hold in the 90s, and all these new techniques hadn’t really been popularized or scaled yet — neural networking, deep learning, reinforcement learning. So actually the best AI was going on in games. It wasn’t this kind of learning AI we work on now, it was more finite-state machines, but they were pretty complex and they did adapt. Games like Black & White had reinforcement learning — I think it’s still the most complex example of that in a game. But then around 2004-5 it was clear that the games industry was going a different way from the '90s when it was really fun and creative and you could just think up any idea and build it. It became more about graphics and franchises and FIFA games and this kind of thing, so it wasn’t that interesting any more — I’d done everything I could in games and it was time to gather different information ready for the launch of DeepMind. And that was neuroscience; I wanted to get inspiration from how the brain solves problems, so what better way than doing a neuroscience PhD? ?

This may be fruit so low-hanging as to already be on the ground, but if you were to take AI advances and apply them to games today?

Oh yeah, I think it’d be amazing, actually. I was contacted recently by someone from EA and... [wistfully] we should do that. It’s just that there’s so many things to do! [laughs] It really is pretty general, using these techniques, and I would love to do that. But it’s just having the bandwidth to do it, and we’re concentrating on the moment on things like healthcare and recommendation systems, these kinds of things. But probably at some point we’ll do that, because it’d close the loop for me. And I think it would be a huge market, actually, having smart adaptable AI opponents, and I think games developers would love it instead of having to build a new AI each time for every game, maybe they could just train an AI on their game.

I just imagine you playing video games at home, getting so much more frustrated by non-player characters than I might.

Sure [laughs] Yes, that always used to frustrate me incredibly about massively multiplayer games and things like that. I never really got into that because the non-player characters were just so dumb. They didn’t have any memory, they didn’t change, they didn’t have any context. I think you could go to a whole other level of games if you had this learning AI.

The main future uses of AI that you’ve brought up this week have been healthcare, smartphone assistants, and robotics. Let’s unpack some of those. To bring up healthcare, IBM with Watson has done some things with cancer diagnosis for example — what can DeepMind bring to the table?

Well, it’s early days in that. We announced a partnership with the NHS a couple of weeks ago but that was really just to start building a platform that machine learning can be used in. I think Watson’s very different than what we do, from what I understand of it — it’s more like an expert system, so it’s a very different style of AI. I think the sort of things you’ll see this kind of AI do is medical diagnosis of images and then maybe longitudinal tracking of vital signs or quantified self over time, and helping people have healthier lifestyles. I think that’ll be quite suitable for reinforcement learning.

With the NHS partnership, you’ve announced an app which doesn’t seem to use much in the way of AI or machine learning. What’s the thought behind that? Why is the NHS using this rather than software from anybody else?

Well, NHS software as I understand it is pretty terrible, so I think the first step is trying to bring that into the 21st century. They’re not mobile, they’re not all the things we take for granted as consumers today. And it’s very frustrating, I think, for doctors and clinicians and nurses and it slows them down. So I think the first stage is to help them with more useful tools, like visualizations and basic stats. We thought we’ll just build that, we’ll see where we are, and then more sophisticated machine learning techniques could then come into play.

How easy a sell is all of this? Obviously funding for healthcare in the UK can be a contentious topic.

Yeah, uh, well, we’re just doing it all for free [laughs] which makes it an easier sell! And this is very different from most software companies. It’s mostly big multinational corporations that are doing this software so they don’t really pay attention to the users, whereas we’re designing it more in a startup sort of way where you really listen to the feedback from your users and you’re kind of co-designing it with them.

So let’s move onto smartphone assistants. I saw you put up a slide from Her in your presentation on the opening day — is that really the endgame here?

No, I mean Her is just an easy popular mainstream view of what that sort of thing is. I just think we would like these smartphone assistant things to actually be smart and contextual and have a deeper understanding of what you’re trying to do. At the moment most of these systems are extremely brittle — once you go off the templates that have been pre-programmed then they’re pretty useless. So it’s about making that actually adaptable and flexible and more robust.

What’s the breakthrough that’s needed to improve these? Why couldn’t we work on it tomorrow?

Well, we can — I just think you need a different approach. Again, it’s this dichotomy between pre-programmed and learnt. At the moment pretty much all smartphone assistants are special-cased and pre-programmed and that means they’re brittle because they can only do the things they were pre-programmed for. And the real world’s very messy and complicated and users do all sorts of unpredictable things that you can’t know ahead of time. Our belief at DeepMind, certainly this was the founding principle, is that the only way to do intelligence is to do learning from the ground up and be general.

AlphaGo got off the ground by being taught a lot of game patterns — how is that applicable to smartphones where the input is so much more varied?

Yeah, so there’s tons of data on that, you could learn from that. Actually, the AlphaGo algorithm, this is something we’re going to try in the next few months — we think we could get rid of the supervised learning starting point and just do it completely from self-play, literally starting from nothing. It’d take longer, because the trial and error when you’re playing randomly would take longer to train, maybe a few months. But we think it’s possible to ground it all the way to pure learning.

Is that possible because of where the algorithm has reached now?

No, no, we could have done that before. It wouldn’t have made the program stronger, it just would have been pure learning. so there would’ve been no supervised part. We think this algorithm can work without any supervision. The Atari games that we did last year, playing from the pixels — that didn’t bootstrap from any human knowledge, that started literally from doing random things on screen.

Is it easier for that because the fail states are more obvious, and so on?

It’s easier for that because the scores are more regular. In Go, you really only get one score, whether you’ve won or lost at the end of the game. It’s called the credit assignment problem; the problem is you’ve made a hundred actions or moves in Go, and you don’t know exactly which ones were responsible for winning or losing, so the signal’s quite weak. Whereas in most Atari games most of the things you’re doing give you some score, so you’ve got more breadcrumbs to follow.

Could you give a timeframe for when some of these things might start making a noticeable difference to the phones that people use?

I think in the next two to three years you’ll start seeing it. I mean, it’ll be quite subtle to begin with, certain aspects will just work better. Maybe looking four to five, five-plus years away you’ll start seeing a big step change in capabilities.

Of all the future possibilities you’ve identified, this is the one that’s most obviously connected to Google as a whole.

Yep.

Have you been given any indication as to how all of this is expected to fit into Google’s product roadmap or business model in general?

No, we have a pretty free rein over what we want to do to optimize the research progress. That’s our mission, and that’s why we joined Google, so that we could turbocharge that. And that’s happened over the last couple of years. Of course, we actually work on a lot of internal Google product things, but they’re all quite early stage, so they’re not ready to be talked about. Certainly a smartphone assistant is something I think is very core — I think Sundar [Pichai] has talked a lot about that as very core to Google’s future.

Google has other initiatives like Google Brain, and it’s rolled out machine learning features like Google Photos and in search and a whole bunch of user-facing things.

Everywhere.

Do you find yourselves interacting with Google Brain and is there any overlap?

Sure, so we’re very complementary, actually. We talk every week. Brain focuses mainly on deep learning, and it’s got incredible engineers like Jeff Dean, so they’ve rolled that out to every corner of the company, and that’s why we get amazing things like Google Photos search. And they’re doing a phenomenal job of that. Also they’re based in Mountain View, so they’re closer to the product groups and they have more like 12 to 18 month research cycles, whereas we’re more about algorithmic development and we tend to go for things that are two to three years long and don’t necessarily have a direct product focus at the start.

How important was Google’s support to AlphaGo — could you have done it without them?

It was very important. AlphaGo doesn’t actually use that much hardware in play, but we needed a lot of hardware to train it and do all the different versions and have them play each other in tournaments on the cloud. That takes quite a lot of hardware to do efficiently, so we couldn’t have done it in this time frame without those resources.

Moving onto robotics. I’m based in Japan, which would like to think of itself as the spiritual home of robots. I see robots now in the country being used in two ways. You have companies like Fanuc making industrial robots that do amazing things for a very fixed purpose, and then you have these concierge-style robots like SoftBank’s Pepper and so on, and in some ways they’re kind of ambitious but the use cases are limited. What are your thoughts on the state of this space?

Yeah, I think as you say with Fanuc they’re pretty capable physically, what they’re missing is intelligence. And concierge robots are a little like smartphone assistants — the ones I’ve seen, anyway, are pre-programmed with template responses, and if you do something that goes off-piste they get confused.

So I guess the obvious question is how machine learning and so on will boost robots’ capabilities.

Well, it’s just a completely different approach. You’re building in from the ground up the ability to learn new things and deal with the unexpected, and I think that’s what you need for any robot or software application in the real world interacting with real users — they’re going to need to have that kind of capability to be properly useful. I think the learning route ultimately has to be the right way.

What are the most immediate use cases for learning robots that you can see?

We haven’t thought much about that, actually. Obviously the self-driving cars are kind of robots but they’re mostly narrow AI currently, although they use aspects of learning AI for the computer vision — Tesla uses pretty much standard off-the-shelf computer vision technology which is based on deep learning. I’m sure Japan’s thinking a lot about things like elderly care bots, or household cleaning bots, I think, would be extremely useful for society. Especially in demographics with an aging population, which I think is quite a pressing problem.

Why is this the sort of use case that a more learning-based approach is so dramatically better for?

Well, you just have to think "Why don’t we have those things yet?" Why don’t we have a robot that can clean up your house after you? The reason is, everyone’s house is very different in terms of layout, furniture, and so on, and even within your own house, the house state is different from day to day — sometimes it’ll be messy, sometimes it’ll be clean. So there’s no way you can pre-program a robot with the solution for sorting out your house, right? And you also might want to take into account your personal preferences about how you want your clothes folded. That’s actually a very complicated problem. We think of these things as really easy for people to do, but actually we’re dealing with hugely complex things.

Just as a matter of personal interest, do you have a robot vacuum cleaner?

Uh... we did have one, but it wasn’t very useful so... [laughs]

Because I do, and it is not super useful, but I find myself kind of learning its quirks and working around it, because I am lazy and the benefits are worth it. So I wonder about when we get to more advanced robots, where the tipping point of "good enough" is going to be. Are we going to stop before meaningful human-level interaction and work around the quirks?

Yeah, I mean, probably. I think everyone would buy a reasonably priced robot that could stack the dishes and clean up after you — these pretty dumb vacuum cleaners are quite popular anyway, and they don’t have any intelligence really. So yeah, I think every step of the way, incrementally, there’ll be useful things.

So what are your far-off expectations for how humans, robots, and AIs will interact in the future? Obviously people’s heads go to pretty wild sci-fi places.

I don’t think much about robotics myself personally. What I’m really excited to use this kind of AI for is science, and advancing that faster. I’d like to see AI-assisted science where you have effectively AI research assistants that do a lot of the drudgery work and surface interesting articles, find structure in vast amounts of data, and then surface that to the human experts and scientists who can make quicker breakthroughs. I was giving a talk at CERN a few months ago; obviously they create more data than pretty much anyone on the planet, and for all we know there could be new particles sitting on their massive hard drives somewhere and no-one’s got around to analyzing that because there’s just so much data. So I think it’d be cool if one day an AI was involved in finding a new particle.

I think that’s a pretty dramatic way to end.

The Verge is in Seoul for the entire Google DeepMind Challenge Match series — follow our coverage at this dedicated hub, and watch the matches live on YouTube.

Pushbullet's API enables developers to build on the Pushbullet infrastructure. Our goal is to provide a full API that enables anything to tap into the Pushbullet network.

This is important to us because we believe everything, not just smartphones and computers, should be able to exchange information in real time. Here are some of the things you can build with Pushbullet:

Sections

• API - Send/receive pushes using the Pushbullet server.

Problems/Feedback

All of our examples use the curl command line tool already available on most systems.

Once you have that access token, you can use it to access your Pushbullet account using the Pushbullet API:

curl --header 'Access-Token: <your_access_token_here>' \
     <a href="https://api.pushbullet.com/v2/users/me" rel="nofollow">https://api.pushbullet.com/v2/users/me</a>

{
  "created": 1.381092887398433e+09,
  "email": "[email protected]",
  "email_normalized": "[email protected]",
  "iden": "ujpah72o0",
  "image_url": "https://static.pushbullet.com/missing-image/55a7dc-45",
  "max_upload_size": 2.62144e+07,
  "modified": 1.441054560741007e+09,
  "name": "Elon Musk"
}

Authentication

curl --header 'Access-Token: <your_access_token_here>' \
     <a href="https://api.pushbullet.com/v2/users/me" rel="nofollow">https://api.pushbullet.com/v2/users/me</a>

{
  "created": 1.381092887398433e+09,
  "email": "[email protected]",
  "email_normalized": "[email protected]",
  "iden": "ujpah72o0",
  "image_url": "https://static.pushbullet.com/missing-image/55a7dc-45",
  "max_upload_size": 2.62144e+07,
  "modified": 1.441054560741007e+09,
  "name": "Elon Musk"
}

Because we allow CORS requests, you can make a request from any browser (you can hit the run button or copy and paste this code into your javascript console):

Example: API Response

{
  "created": 1.35794175382879e+09,
  "email": "[email protected]",
  "email_normalized": "[email protected]",
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.39932599218423e+09
}

HTTP Status Codes

• 200 OK - Everything worked as expected.
• 400 Bad Request - Usually this results from missing a required parameter.
• 401 Unauthorized - No valid access token provided.
• 403 Forbidden - The access token is not valid for that request.
• 404 Not Found - The requested item doesn't exist.
• 429 Too Many Requests - You have been ratelimited for making too many requests to the server.
• 5XX Server Error - Something went wrong on Pushbullet's side. If this error is from an intermediate server, it may not be valid JSON.

Errors

Error responses (any non-200 error code) contain information on the kind of error that happened. The response JSON will have an error property with the following fields:

• type - A machine-readable code to refer to this type of error. Either invalid_request for client side errors or server for server side errors.
• message - A (mostly) human-readable error message.
• param - (OPTIONAL) Appears sometimes during an invalid_request error to say which parameter in the request caused the error.
• cat - Some sort of ASCII cat to offset the pain of receiving an error message.

Example: Error Response

{
  "error": {
    "cat": "~(=^‥^)",
    "message": "The resource could not be found.",
    "type": "invalid_request"
  }
}

Errors from the Pushbullet server will have this JSON body. Errors from intermediate servers or the hosting infrastructure may not, so you should be able to handle a non-JSON response as a generic error.

All calls to list objects (list-*) accept the active, limit, and cursor parameters.

Bootstrapping

By default, listing objects of any type will return deleted objects (this is useful for syncing). When you are getting the initial list of objects, you may want to only fetch the active ones. To get only active objects, set active to true on the request.

When listing objects, if you receive a cursor in the response, it means the results are on multiple pages. To request the next page of results, use this cursor as the parameter cursor in the next request. Any time you list a collection of objects, they may be multiple pages (objects are always returned with the most recent ones first). You can specify a limit parameter on any calls that return a list of objects to get a smaller number of objects on each page. The default (maximum) limit is 500, including deleted objects.

Syncing Changes

Deleted Objects

When you query with a modified_after timestamp to sync changed objects to a device, you need to know if an object was deleted so you can remove it locally. Deleted objects will have active=false and all properties except for iden, created, modified, and active will be missing from the returned object. Deleted objects show up by default when listing objects.

Resizing Images

Example: Resize an Image

Resize the image so that the longest side is not longer than 100 pixels

The image_url should be hosted on domain ending with .googleusercontent.com. If the domain does not end with that, you should not attempt to resize the image with a query parameter. Objects besides pushes have an image_url property but they cannot necessarily be resized the same way.

Backwards Compatibility

We try to make only backwards compatible changes to existing public API calls. This means that we should not change the meaning of existing calls, and that we will only add, not remove, keys from objects returned from the API. Adding a key is considered to be a backwards-compatible change.

Ratelimiting

When you do a request to the API you will receive headers like the following on the response:

X-Ratelimit-Limit: 32768
X-Ratelimit-Remaining: 32765
X-Ratelimit-Reset: 1432447070

Overview

OAuth lets you access a user's Pushbullet account or have them authenticate with their Pushbullet account using a browser.

OAuth is a standard authentication procedure used by most websites, here's how it works:

1. You, the app developer, register your app (called an "OAuth client") with Pushbullet
2. Using a url you generate in your app (you can see an example one on the Create Client page) you send the user to the Pushbullet site. One of the parameters of the url is a redirect url that the user will be sent to when they are done authorizing your app.
3. The user authorizes your application by clicking the "Allow" button.
4. The user is redirected to the redirect url you provided earlier, which is generally your site or your app.

Here's roughly how this looks with pictures:

Getting Started

EXAMPLE CLIENT

{
  "client_id": "YW7uItOzxPFx8vJ4",
  "client_secret": "MmA98EDg0pjr4fZw",
  "iden": "ujpah72o0sjAoRtnM0jc",
  "image_url": "http://www.catpusher.com/logo.png",
  "name": "Cat Pusher",
  "redirect_uri": "http://www.catpusher.com/auth_complete",
  "website_url": "http://www.catpusher.com"
}

Getting an Access Token

• client_id - client_id from registering your client
• redirect_uri - The url you want to redirect the user to after authorization is complete. The path portion must match what was provided for the client, the query string may be set dynamically.
• response_type - Either "code" (if you've got a server) or "token" (if your app is entirely on the client)

EXAMPLE URL

<a href="https://www.pushbullet.com/authorize?client_id=YW7uItOzxPFx8vJ4&redirect_uri=http%3A%2F%2Fwww.catpusher.com%2Fauth_complete&response_type=code" rel="nofollow">https://www.pushbullet.com/authorize?client_id=YW7uItOzxPFx8vJ4&redirect_uri=http%3A%2F%2Fwww.catpusher.com%2Fauth_complete&response_type=code</a>

When the user is sent to this page, they are able to authorize or deny your application. If they choose deny, they get redirected to the redirect_uri with the parameter "error=access_denied".

If they chose authorize, there are two possible next steps, depending on the value of response_type:

For Client-Side Apps: response_type=token

The user is redirected to the redirect_uri with a url fragment of "access_token=<access_token>". If you have a client side app running an embedded web browser, you can configure your redirect_uri to be "https://www.pushbullet.com/login-success" and then use this redirect_uri in the authorize call.

EXAMPLE URL

<a href="https://www.pushbullet.com/authorize?client_id=YW7uItOzxPFx8vJ4&redirect_uri=https%3A%2F%2Fwww.pushbullet.com%2Flogin-success&response_type=token" rel="nofollow">https://www.pushbullet.com/authorize?client_id=YW7uItOzxPFx8vJ4&redirect_uri=https%3A%2F%2Fwww.pushbullet.com%2Flogin-success&response_type=token</a>

EXAMPLE REDIRECT

<a href="https://www.pushbullet.com/login-success#access_token=o.RUe7IZgC6384GrI1" rel="nofollow">https://www.pushbullet.com/login-success#access_token=o.RUe7IZgC6384GrI1</a>

For Apps with Servers: response_type=code

If you have a server you can use this response_type, it's potentially more secure than the client-side one, since the client never sees the actual access token. In this mode the user is redirected to the redirect_uri with a parameter "code=<code>".

EXAMPLE URL

<a href="https://www.pushbullet.com/authorize?client_id=YW7uItOzxPFx8vJ4&redirect_uri=http%3A%2F%2Fwww.catpusher.com%2Fauth_complete&response_type=code" rel="nofollow">https://www.pushbullet.com/authorize?client_id=YW7uItOzxPFx8vJ4&redirect_uri=http%3A%2F%2Fwww.catpusher.com%2Fauth_complete&response_type=code</a>

EXAMPLE REDIRECT

<a href="http://www.catpusher.com/auth_complete?code=RUe7IZgC6384GrI1" rel="nofollow">http://www.catpusher.com/auth_complete?code=RUe7IZgC6384GrI1</a>

• grant_type - Set to "authorization_code"
• client_id - client_id from registering your client
• client_secret - client_secret from registering your client
• code - code from the redirect

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"client_id":"YW7uItOzxPFx8vJ4","client_secret":"MmA98EDg0pjr4fZw","code":"RUe7IZgC6384GrI1","grant_type":"authorization_code"}' \
     --request POST \
     <a href="https://api.pushbullet.com/oauth2/token" rel="nofollow">https://api.pushbullet.com/oauth2/token</a>

{
  "access_token": "a6FJVAA0LVJKrT8k",
  "token_type": "Bearer"
}

You can add extra query params to the end of redirect_uri if you need to store extra state for the request. For instance, if you have your client's redirect_uri set to <a href="http://www.catpusher.com/auth_complete" rel="nofollow">http://www.catpusher.com/auth_complete</a>, then when you build the url to send the user to Pushbullet, you could specify redirect_uri=http://www.catpusher.com/auth_complete?state=zhk2KJ3SAAS3q1. When the user finishes authorizing your app, they would end up at <a href="http://www.catpusher.com/auth_complete?state=zhk2KJ3SAAS3q1&code=RUe7IZgC6384GrI1" rel="nofollow">http://www.catpusher.com/auth_complete?state=zhk2KJ3SAAS3q1&code=RUe7IZgC6384GrI1</a>.

Using Your Access Token

Now that you have an access token, you can access Pushbullet as that user. Just include the access_token with your requests as the username in HTTP Basic Auth or set the Access-Token header to your access_token. Make sure to keep the access_token in a safe place, it allows access to your users accounts!

curl --header 'Access-Token: <your_access_token_here>' \
     <a href="https://api.pushbullet.com/v2/users/me" rel="nofollow">https://api.pushbullet.com/v2/users/me</a>

{
  "created": 1.381092887398433e+09,
  "email": "[email protected]",
  "email_normalized": "[email protected]",
  "iden": "ujpah72o0",
  "image_url": "https://static.pushbullet.com/missing-image/55a7dc-45",
  "max_upload_size": 2.62144e+07,
  "modified": 1.441054560741007e+09,
  "name": "Elon Musk"
}

The access_token does not have a set expiration time, but may be expired at some point in the future. If you delete your client, all existing tokens are invalidated.

Key Generation

Code Sample: Generate an Encryption/Decryption Key

var pseudorandom_function = forge.md.sha256.create();
var password = "hunter2";
var salt = "up0snaKOsn";
var iterations = 30000;
var derived_key_length_bytes = 32; // 256-bit
var key = forge.pkcs5.pbkdf2(
  password,
  salt,
  iterations,
  derived_key_length_bytes,
  pseudorandom_function
)
// encode to base64 so we can easily print the key
// (normally it's in binary and can't be printed)
var base64_key = btoa(key);
console.log("base64_key:", base64_key);

Encryption

encoded_message = "1" + tag + initialization_vector + encrypted_message

Code Sample: Encrypt a Message

// convert key from base64 to binary
var key = atob("1sW28zp7CWv5TtGjlQpDHHG4Cbr9v36fG5o4f74LsKg=");
var initialization_vector = forge.random.getBytes(12); // 96-bit
var message = "meow!";

var cipher = forge.cipher.createCipher('AES-GCM', key);
cipher.start({"iv": initialization_vector});
cipher.update(forge.util.createBuffer(forge.util.encodeUtf8(message)));
cipher.finish();

var tag = cipher.mode.tag.getBytes();
var encrypted_message = cipher.output.getBytes();

var encoded_message = "1" + tag + initialization_vector + encrypted_message;
var base64_encoded_message = btoa(encoded_message);
console.log("base64_encoded_message:", base64_encoded_message);

Decryption

If you can encrypt a message, decrypting it is straightforward. You need to decode the encoded_message into the tag, initialization_vector, and encrypted_message.

Code Sample: Decrypt an Encrypted Message

var key = atob("1sW28zp7CWv5TtGjlQpDHHG4Cbr9v36fG5o4f74LsKg=");
var encoded_message = atob("MSfJxxY5YdjttlfUkCaKA57qU9SuCN8+ZhYg/xieI+lDnQ==");

var version = encoded_message.substr(0, 1);
var tag = encoded_message.substr(1, 16); // 128 bits
var initialization_vector = encoded_message.substr(17, 12); // 96 bits
var encrypted_message = encoded_message.substr(29);

if (version != "1") {
  throw "invalid version"
}

var decipher = forge.cipher.createDecipher('AES-GCM', key);
decipher.start({
    'iv': initialization_vector,
    'tag': tag
});
decipher.update(forge.util.createBuffer(encrypted_message));
decipher.finish();

var message = decipher.output.toString('utf8');
console.log("message:", message);
    

Make sure your encryption library is checking the validity of the tag parameter by using an incorrect tag and verifying that you get some sort of error. You must also discard any encoded_message without a prefix of 1 as those will be different, incompatible encodings in the future.

Encrypted Ephemeral Format

An ephemeral that looks like this:

{
  "push": {
    "data": {
      "key1": "value1",
      "key2": "value2"
    }
  },
  "type": "push"
}

Will look like this when encrypted:

{
  "push": {
    "ciphertext": "MXAdvN64uXWtLXCRaqYHEtGhiogR1VHyXX21Lpjp4jv3v+JWygMBA9Wp5npbQdfeZAgOZI+JT3y3pbmq+OrKXrK1rg==",
    "encrypted": true
  },
  "type": "push"
}

If you decode ciphertext then you will get the following javascript object:

{
  "key1": "value1",
  "key2": "value2"
}

Connect to the stream

You can connect to the websocket for an account by creating a secure websocket connection (wss://) to wss://stream.pushbullet.com/websocket/<your_access_token_here>

Stream Messages

Types

EXAMPLE MESSAGES

{
  "type": "nop"
}

{
  "subtype": "push",
  "type": "tickle"
}

{
  "push": {
    "cat": "meow"
  },
  "type": "push"
}

Push message types

A message with type="push" will contain a data object mapped to by the key push. This object is documented here based on its internal type.

• type="mirror" - This push is a notification mirrored from an Android device.
• type="dismissal" - This push is a dismissal message for a notification.

EXAMPLE NOTIFICATION MIRROR

{
  "push": {
    "application_name": "Pushbullet",
    "body": "If you see this on your computer, mirroring is working!\n",
    "created": 1.39935096416497e+09,
    "dismissable": true,
    "icon": "iVBORw0KGgoAAAANSUhEBgUzC42AAAADNElEQVRo\ng==\n",
    "iden": "1e443556ba3217c",
    "notification_id": "-8",
    "notification_tag": null,
    "package_name": "com.pushbullet.android",
    "receiver_email": "[email protected]",
    "receiver_email_normalized": "[email protected]",
    "receiver_iden": "ujpah72o0",
    "sender_email": "[email protected]",
    "sender_email_normalized": "[email protected]",
    "sender_iden": "ujpah72o0",
    "source_device_iden": "ujpah72o0sjAoRtnM0jc",
    "title": "Mirroring test",
    "type": "mirror"
  },
  "type": "push"
}

EXAMPLE NOTIFICATION DISMISSAL

{
  "push": {
    "created": 1.39935096622458e+09,
    "iden": "1e443556ba3217c",
    "notification_id": "-8",
    "notification_tag": null,
    "package_name": "com.pushbullet.android",
    "receiver_email": "[email protected]",
    "receiver_email_normalized": "[email protected]",
    "receiver_iden": "ujpah72o0",
    "sender_email": "[email protected]",
    "sender_email_normalized": "[email protected]",
    "sender_iden": "ujpah72o0",
    "source_device_iden": "ujpah72o0sjAoRtnM0jc",
    "type": "dismissal"
  },
  "type": "push"
}

Reacting to tickles

When you receive a tickle message, it means that a resource of the type subtype has changed. This is your cue to update that resource. Here's an example for the pushes type:

On receiving this message:

{
  "subtype": "push",
  "type": "tickle"
}

Request the pushes that have changed since the last time we received them:

GET <a href="https://api.pushbullet.com/v2/pushes?modified_after=1399008037.849" rel="nofollow">https://api.pushbullet.com/v2/pushes?modified_after=1399008037.849</a>

Then merge these updates into your local copy of the push history.

You can send arbitrary JSON messages, called "ephemerals", to all devices on your account. Ephemerals are stored for a short period of time (if at all) and are sent directly to devices. Because they are sent directly, there is no "tickle" message like when creating or updating pushes or other objects, the JSON message appears directly in the stream.

Ephemerals are used by the Pushbullet apps for notification mirroring and universal copy/paste.

Unlike some of the other HTTP endpoints, POST parameters are not supported for ephemerals due to their JSON structure.

Send an ephemeral

Parameters

• type - Must be set to push which is the only type of ephemeral currently.
• push - An arbitrary JSON object.

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"push":{"cat":"meow"},"type":"push"}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/ephemerals" rel="nofollow">https://api.pushbullet.com/v2/ephemerals</a>

{}

Ephemerals respond with an empty JSON object unless there is an error.

You can send an SMS from your phone by sending an ephemeral message to your phone.

SMS Ephemeral

• type - push for send SMS.
• push - information about the SMS to send
  • type - messaging_extension_reply for send SMS.
  • package_name - com.pushbullet.android for send SMS
  • source_user_iden - The user iden of the user sending this message.
  • target_device_iden - The iden of the device corresponding to the phone that should send the SMS.
  • conversation_iden - Phone number to send the SMS to.
  • message - The SMS message to send.

EXAMPLE

{
  "push": {
    "conversation_iden": "+1 303 555 1212",
    "message": "Hello!",
    "package_name": "com.pushbullet.android",
    "source_user_iden": "ujpah72o0",
    "target_device_iden": "ujpah72o0sjAoRtnM0jc",
    "type": "messaging_extension_reply"
  },
  "type": "push"
}

Mirrored notifications are notifications sent from android devices (currently the only source of mirrored notifications) to other devices. To test these out you can go into the android app's settings screen and hit the button "Send a test notification" while listening to the stream.

Notification Ephemeral

• type - push for mirrored notifications.
• push - information about the notification
  • type - mirror for mirrored notifications.
  • icon - Base64-encoded JPEG image to use as the icon of the push.
  • title - The title of the notification.
  • body - The body of the notification.
  • source_user_iden - The user iden of the user sending this message.
  • source_device_iden - The iden of the device sending this message.
  • application_name - The name of the application that created the notification.
  • dismissable - True if the notification can be dismissed.
  • package_name - The package that made the notification, used when updating/dismissing an existing notification.
  • notification_id - The id of the notification, used when updating/dismissing an existing notification.
  • notification_tag - The tag of the notification, used when updating/dismissing an existing notification.
  • has_root - The phone is rooted.
  • client_version - The client version of the app sending this message.

EXAMPLE

{
  "push": {
    "application_name": "Pushbullet",
    "body": "If you see this on your computer, Android-to-PC notifications are working!\n",
    "client_version": 125,
    "dismissable": true,
    "has_root": false,
    "icon": "(base64_encoded_jpeg)",
    "notification_id": "-8",
    "notification_tag": null,
    "package_name": "com.pushbullet.android",
    "source_device_iden": "ujpah72o0sjAoRtnM0jc",
    "source_user_iden": "ujpah72o0",
    "title": "Mirroring test",
    "type": "mirror"
  },
  "type": "push"
}

Dismissal Ephemeral

• type - "push" for notification dismissals.
• push - information about the dismissal.
  • type - "dismissal" for notification dismissals.
  • package_name - Set to the package_name field from the mirrored notification.
  • notification_id - Set to the notification_id field from the mirrored notification.
  • notification_tag - Set to the notification_tag field from the mirrored notification.
  • source_user_iden - Set to the source_user_iden field from the mirrored notification.

EXAMPLE

{
  "push": {
    "notification_id": "-8",
    "notification_tag": null,
    "package_name": "com.pushbullet.android",
    "source_user_iden": "ujpah72o0",
    "type": "dismissal"
  },
  "type": "push"
}

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"push":{"notification_id":"-8","notification_tag":null,"package_name":"com.pushbullet.android","source_user_iden":"ujpah72o0","type":"dismissal"},"type":"push"}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/ephemerals" rel="nofollow">https://api.pushbullet.com/v2/ephemerals</a>

{}

The Pushbullet apps can monitor the clipboard and send out a message each time the user copies a new text selection, sending it to all the user's devices which can copy it to the system clipboard or otherwise make it available to the user.

Copy a String to the Clipboard

Properties

• type - push for clipboard messages.
• push - information about the clipboard message.
  • type - clip for clipboard messages.
  • body - The text to copy to the clipboard.
  • source_user_iden - The iden of the user sending this message.
  • source_device_iden - The iden of the device sending this message.

Example

{
  "push": {
    "body": "http://www.google.com",
    "source_device_iden": "ujpah72o0sjAoRtnM0jc",
    "source_user_iden": "ujpah72o0",
    "type": "clip"
  },
  "type": "push"
}

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"push":{"body":"http://www.google.com","source_device_iden":"ujpah72o0sjAoRtnM0jc","source_user_iden":"ujpah72o0","type":"clip"},"type":"push"}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/ephemerals" rel="nofollow">https://api.pushbullet.com/v2/ephemerals</a>

{}

Pushbullet URL Handler

The iPhone app has a url handler, pushbullet:// that can be used to compose pushes like so:

  pushbullet://compose?type=note&body=Hello

compose is the only option right now, but a few push types can be constructed (make sure to urlencode any parameters):

  pushbullet://compose?type=link&url=https%3A%2F%2Fwww.pushbullet.com
  pushbullet://compose?type=address&address=850%20Bryant%20St

Open in Pushbullet

If the user selects the Pushbullet app, the app should open with a new compose window for a type="file" push with the provided file attached.

Feedback

Chats are created whenever you send a message to someone or a receive a message from them and there is no existing chat between you and the other user.

Example

{
  "active": true,
  "created": 1.412047948579029e+09,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.412047948579031e+09,
  "with": {
    "email": "[email protected]",
    "email_normalized": "[email protected]",
    "iden": "ujlMns72k",
    "image_url": "https://dl.pushbulletusercontent.com/foGfub1jtC6yYcOMACk1AbHwTrTKvrDc/john.jpg",
    "name": "John Carmack",
    "type": "user"
  }
}

GET <a href="https://api.pushbullet.com/v2/chats" rel="nofollow">https://api.pushbullet.com/v2/chats</a>

curl --header 'Access-Token: <your_access_token_here>' \
     <a href="https://api.pushbullet.com/v2/chats" rel="nofollow">https://api.pushbullet.com/v2/chats</a>

{
  "chats": [
    {
      "active": true,
      "created": 1.412047948579029e+09,
      "iden": "ujpah72o0sjAoRtnM0jc",
      "modified": 1.412047948579031e+09,
      "with": {
        "email": "[email protected]",
        "email_normalized": "[email protected]",
        "iden": "ujlMns72k",
        "image_url": "https://dl.pushbulletusercontent.com/foGfub1jtC6yYcOMACk1AbHwTrTKvrDc/john.jpg",
        "name": "John Carmack",
        "type": "user"
      }
    }
  ]
}

POST <a href="https://api.pushbullet.com/v2/chats" rel="nofollow">https://api.pushbullet.com/v2/chats</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"email":"[email protected]"}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/chats" rel="nofollow">https://api.pushbullet.com/v2/chats</a>

{
  "active": true,
  "created": 1.412047948579029e+09,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.412047948579031e+09,
  "with": {
    "email": "[email protected]",
    "email_normalized": "[email protected]",
    "iden": "ujlMns72k",
    "image_url": "https://dl.pushbulletusercontent.com/foGfub1jtC6yYcOMACk1AbHwTrTKvrDc/john.jpg",
    "name": "John Carmack",
    "type": "user"
  }
}

POST <a href="https://api.pushbullet.com/v2/chats/%7Biden%7D" rel="nofollow">https://api.pushbullet.com/v2/chats/{iden}</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"muted":true}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/chats/ujpah72o0sjAoRtnM0jc" rel="nofollow">https://api.pushbullet.com/v2/chats/ujpah72o0sjAoRtnM0jc</a>

{
  "active": true,
  "created": 1.412047948579029e+09,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.412094382919271e+09,
  "muted": true,
  "with": {
    "email": "[email protected]",
    "email_normalized": "[email protected]",
    "iden": "ujlMns72k",
    "image_url": "https://dl.pushbulletusercontent.com/foGfub1jtC6yYcOMACk1AbHwTrTKvrDc/john.jpg",
    "name": "John Carmack",
    "type": "user"
  }
}

DELETE <a href="https://api.pushbullet.com/v2/chats/%7Biden%7D" rel="nofollow">https://api.pushbullet.com/v2/chats/{iden}</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --request DELETE \
     <a href="https://api.pushbullet.com/v2/chats/ujpah72o0sjAoRtnM0jc" rel="nofollow">https://api.pushbullet.com/v2/chats/ujpah72o0sjAoRtnM0jc</a>

{}

Example

{
  "active": true,
  "app_version": 8623,
  "created": 1.412047948579029e+09,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "manufacturer": "Apple",
  "model": "iPhone 5s (GSM)",
  "modified": 1.412047948579031e+09,
  "nickname": "Elon Musk's iPhone",
  "push_token": "production:f73be0ee7877c8c7fa69b1468cde764f"
}

GET <a href="https://api.pushbullet.com/v2/devices" rel="nofollow">https://api.pushbullet.com/v2/devices</a>

curl --header 'Access-Token: <your_access_token_here>' \
     <a href="https://api.pushbullet.com/v2/devices" rel="nofollow">https://api.pushbullet.com/v2/devices</a>

{
  "devices": [
    {
      "active": true,
      "app_version": 8623,
      "created": 1.412047948579029e+09,
      "iden": "ujpah72o0sjAoRtnM0jc",
      "manufacturer": "Apple",
      "model": "iPhone 5s (GSM)",
      "modified": 1.412047948579031e+09,
      "nickname": "Elon Musk's iPhone",
      "push_token": "production:f73be0ee7877c8c7fa69b1468cde764f"
    }
  ]
}

POST <a href="https://api.pushbullet.com/v2/devices" rel="nofollow">https://api.pushbullet.com/v2/devices</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"app_version":8623,"manufacturer":"Apple","model":"iPhone 5s (GSM)","nickname":"Elon Musk's iPhone","push_token":"production:f73be0ee7877c8c7fa69b1468cde764f"}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/devices" rel="nofollow">https://api.pushbullet.com/v2/devices</a>

{
  "active": true,
  "app_version": 8623,
  "created": 1.412047948579029e+09,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "manufacturer": "Apple",
  "model": "iPhone 5s (GSM)",
  "modified": 1.412047948579031e+09,
  "nickname": "Elon Musk's iPhone",
  "push_token": "production:f73be0ee7877c8c7fa69b1468cde764f"
}

POST <a href="https://api.pushbullet.com/v2/devices/%7Biden%7D" rel="nofollow">https://api.pushbullet.com/v2/devices/{iden}</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"nickname":"Work Phone"}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/devices/ujpah72o0sjAoRtnM0jc" rel="nofollow">https://api.pushbullet.com/v2/devices/ujpah72o0sjAoRtnM0jc</a>

{
  "active": true,
  "app_version": 8623,
  "created": 1.412047948579029e+09,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "manufacturer": "Apple",
  "model": "iPhone 5s (GSM)",
  "modified": 1.412094382919271e+09,
  "nickname": "Work Phone",
  "push_token": "production:f73be0ee7877c8c7fa69b1468cde764f"
}

DELETE <a href="https://api.pushbullet.com/v2/devices" rel="nofollow">https://api.pushbullet.com/v2/devices</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --request DELETE \
     <a href="https://api.pushbullet.com/v2/devices/ujpah72o0sjAoRtnM0jc" rel="nofollow">https://api.pushbullet.com/v2/devices/ujpah72o0sjAoRtnM0jc</a>

{}

A Push.

Example

{
  "active": true,
  "body": "Space Elevator, Mars Hyperloop, Space Model S (Model Space?)",
  "created": 1.412047948579029e+09,
  "direction": "self",
  "dismissed": false,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.412047948579031e+09,
  "receiver_email": "[email protected]",
  "receiver_email_normalized": "[email protected]",
  "receiver_iden": "ujpah72o0",
  "sender_email": "[email protected]",
  "sender_email_normalized": "[email protected]",
  "sender_iden": "ujpah72o0",
  "sender_name": "Elon Musk",
  "title": "Space Travel Ideas",
  "type": "note"
}

GET <a href="https://api.pushbullet.com/v2/pushes" rel="nofollow">https://api.pushbullet.com/v2/pushes</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --data-urlencode active="true" \
     --data-urlencode modified_after="1.4e+09" \
     --get \
     <a href="https://api.pushbullet.com/v2/pushes" rel="nofollow">https://api.pushbullet.com/v2/pushes</a>

{
  "pushes": [
    {
      "active": true,
      "body": "Space Elevator, Mars Hyperloop, Space Model S (Model Space?)",
      "created": 1.412047948579029e+09,
      "direction": "self",
      "dismissed": false,
      "iden": "ujpah72o0sjAoRtnM0jc",
      "modified": 1.412047948579031e+09,
      "receiver_email": "[email protected]",
      "receiver_email_normalized": "[email protected]",
      "receiver_iden": "ujpah72o0",
      "sender_email": "[email protected]",
      "sender_email_normalized": "[email protected]",
      "sender_iden": "ujpah72o0",
      "sender_name": "Elon Musk",
      "title": "Space Travel Ideas",
      "type": "note"
    }
  ]
}

POST <a href="https://api.pushbullet.com/v2/pushes" rel="nofollow">https://api.pushbullet.com/v2/pushes</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"body":"Space Elevator, Mars Hyperloop, Space Model S (Model Space?)","title":"Space Travel Ideas","type":"note"}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/pushes" rel="nofollow">https://api.pushbullet.com/v2/pushes</a>

{
  "active": true,
  "body": "Space Elevator, Mars Hyperloop, Space Model S (Model Space?)",
  "created": 1.412047948579029e+09,
  "direction": "self",
  "dismissed": false,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.412047948579031e+09,
  "receiver_email": "[email protected]",
  "receiver_email_normalized": "[email protected]",
  "receiver_iden": "ujpah72o0",
  "sender_email": "[email protected]",
  "sender_email_normalized": "[email protected]",
  "sender_iden": "ujpah72o0",
  "sender_name": "Elon Musk",
  "title": "Space Travel Ideas",
  "type": "note"
}

POST <a href="https://api.pushbullet.com/v2/pushes/%7Biden%7D" rel="nofollow">https://api.pushbullet.com/v2/pushes/{iden}</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"dismissed":true}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/pushes/ujpah72o0sjAoRtnM0jc" rel="nofollow">https://api.pushbullet.com/v2/pushes/ujpah72o0sjAoRtnM0jc</a>

{
  "active": true,
  "body": "Space Elevator, Mars Hyperloop, Space Model S (Model Space?)",
  "created": 1.412047948579029e+09,
  "direction": "self",
  "dismissed": true,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.412094382919271e+09,
  "receiver_email": "[email protected]",
  "receiver_email_normalized": "[email protected]",
  "receiver_iden": "ujpah72o0",
  "sender_email": "[email protected]",
  "sender_email_normalized": "[email protected]",
  "sender_iden": "ujpah72o0",
  "sender_name": "Elon Musk",
  "title": "Space Travel Ideas",
  "type": "note"
}

DELETE <a href="https://api.pushbullet.com/v2/pushes/%7Biden%7D" rel="nofollow">https://api.pushbullet.com/v2/pushes/{iden}</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --request DELETE \
     <a href="https://api.pushbullet.com/v2/pushes/ujpah72o0sjAoRtnM0jc" rel="nofollow">https://api.pushbullet.com/v2/pushes/ujpah72o0sjAoRtnM0jc</a>

{}

DELETE <a href="https://api.pushbullet.com/v2/pushes" rel="nofollow">https://api.pushbullet.com/v2/pushes</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --request DELETE \
     <a href="https://api.pushbullet.com/v2/pushes" rel="nofollow">https://api.pushbullet.com/v2/pushes</a>

{}

Subscribe to channels to receive any updates pushed to that channel.

Example

{
  "active": true,
  "channel": {
    "description": "News about Elon Musk.",
    "iden": "ujxPklLhvyKsjAvkMyTVh6",
    "image_url": "https://dl.pushbulletusercontent.com/StzRmwdkIe8gluBH3XoJ9HjRqjlUYSf4/musk.jpg",
    "name": "Elon Musk News",
    "tag": "elonmusknews"
  },
  "created": 1.412047948579029e+09,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.412047948579031e+09,
  "muted": false
}

GET <a href="https://api.pushbullet.com/v2/subscriptions" rel="nofollow">https://api.pushbullet.com/v2/subscriptions</a>

curl --header 'Access-Token: <your_access_token_here>' \
     <a href="https://api.pushbullet.com/v2/subscriptions" rel="nofollow">https://api.pushbullet.com/v2/subscriptions</a>

{
  "subscriptions": [
    {
      "active": true,
      "channel": {
        "description": "News about Elon Musk.",
        "iden": "ujxPklLhvyKsjAvkMyTVh6",
        "image_url": "https://dl.pushbulletusercontent.com/StzRmwdkIe8gluBH3XoJ9HjRqjlUYSf4/musk.jpg",
        "name": "Elon Musk News",
        "tag": "elonmusknews"
      },
      "created": 1.412047948579029e+09,
      "iden": "ujpah72o0sjAoRtnM0jc",
      "modified": 1.412047948579031e+09
    }
  ]
}

POST <a href="https://api.pushbullet.com/v2/subscriptions" rel="nofollow">https://api.pushbullet.com/v2/subscriptions</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"channel_tag":"elonmusknews"}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/subscriptions" rel="nofollow">https://api.pushbullet.com/v2/subscriptions</a>

{
  "active": true,
  "channel": {
    "description": "News about Elon Musk.",
    "iden": "ujxPklLhvyKsjAvkMyTVh6",
    "image_url": "https://dl.pushbulletusercontent.com/StzRmwdkIe8gluBH3XoJ9HjRqjlUYSf4/musk.jpg",
    "name": "Elon Musk News",
    "tag": "elonmusknews"
  },
  "created": 1.412047948579029e+09,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.412047948579031e+09
}

POST <a href="https://api.pushbullet.com/v2/subscriptions/%7Biden%7D" rel="nofollow">https://api.pushbullet.com/v2/subscriptions/{iden}</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"muted":true}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/subscriptions/ujpah72o0sjAoRtnM0jc" rel="nofollow">https://api.pushbullet.com/v2/subscriptions/ujpah72o0sjAoRtnM0jc</a>

{
  "active": true,
  "channel": {
    "description": "News about Elon Musk.",
    "iden": "ujxPklLhvyKsjAvkMyTVh6",
    "image_url": "https://dl.pushbulletusercontent.com/StzRmwdkIe8gluBH3XoJ9HjRqjlUYSf4/musk.jpg",
    "name": "Elon Musk News",
    "tag": "elonmusknews"
  },
  "created": 1.412047948579029e+09,
  "iden": "ujpah72o0sjAoRtnM0jc",
  "modified": 1.412094382919271e+09,
  "muted": true
}

DELETE <a href="https://api.pushbullet.com/v2/subscriptions/%7Biden%7D" rel="nofollow">https://api.pushbullet.com/v2/subscriptions/{iden}</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --request DELETE \
     <a href="https://api.pushbullet.com/v2/subscriptions/ujpah72o0sjAoRtnM0jc" rel="nofollow">https://api.pushbullet.com/v2/subscriptions/ujpah72o0sjAoRtnM0jc</a>

{}

GET <a href="https://api.pushbullet.com/v2/channel-info" rel="nofollow">https://api.pushbullet.com/v2/channel-info</a>

curl --data-urlencode no_recent_pushes="true" \
     --data-urlencode tag="elonmusknews" \
     --get \
     <a href="https://api.pushbullet.com/v2/channel-info" rel="nofollow">https://api.pushbullet.com/v2/channel-info</a>

{
  "active": true,
  "created": 1.412047948579029e+09,
  "description": "News about Elon Musk.",
  "iden": "ujxPklLhvyKsjAvkMyTVh6",
  "image_url": "https://dl.pushbulletusercontent.com/StzRmwdkIe8gluBH3XoJ9HjRqjlUYSf4/musk.jpg",
  "modified": 1.412047948579031e+09,
  "name": "Elon Musk News",
  "subscriber_count": 9.382239e+06,
  "tag": "elonmusknews"
}

Example

{
  "created": 1.381092887398433e+09,
  "email": "[email protected]",
  "email_normalized": "[email protected]",
  "iden": "ujpah72o0",
  "image_url": "https://static.pushbullet.com/missing-image/55a7dc-45",
  "max_upload_size": 2.62144e+07,
  "modified": 1.441054560741007e+09,
  "name": "Elon Musk"
}

GET <a href="https://api.pushbullet.com/v2/users/me" rel="nofollow">https://api.pushbullet.com/v2/users/me</a>

curl --header 'Access-Token: <your_access_token_here>' \
     <a href="https://api.pushbullet.com/v2/users/me" rel="nofollow">https://api.pushbullet.com/v2/users/me</a>

{
  "created": 1.381092887398433e+09,
  "email": "[email protected]",
  "email_normalized": "[email protected]",
  "iden": "ujpah72o0",
  "image_url": "https://static.pushbullet.com/missing-image/55a7dc-45",
  "max_upload_size": 2.62144e+07,
  "modified": 1.441054560741007e+09,
  "name": "Elon Musk"
}

EXAMPLE REQUEST

curl -i -X POST <a href="https://upload.pushbullet.com/upload-legacy/a5e1776d2566a6b16032958697288df4" rel="nofollow">https://upload.pushbullet.com/upload-legacy/a5e1776d2566a6b16032958697288df4</a> \
  -F [email protected]

EXAMPLE RESPONSE

HTTP/1.1 204 No Content

POST <a href="https://api.pushbullet.com/v2/upload-request" rel="nofollow">https://api.pushbullet.com/v2/upload-request</a>

curl --header 'Access-Token: <your_access_token_here>' \
     --header 'Content-Type: application/json' \
     --data-binary '{"file_name":"cat.jpg","file_type":"image/jpeg"}' \
     --request POST \
     <a href="https://api.pushbullet.com/v2/upload-request" rel="nofollow">https://api.pushbullet.com/v2/upload-request</a>

{
  "file_name": "cat.jpg",
  "file_type": "image/jpeg",
  "file_url": "https://dl.pushbulletusercontent.com/034f197bc6c37cac3cc03542659d458b/cat.jpg",
  "upload_url": "https://upload.pushbullet.com/upload-legacy/a5e1776d2566a6b16032958697288df4"
}

ELECTION 2016

The Parent-Child Discussion That So Many Dread: Donald Trump

By SARAH LYALL March 11, 2016

美国大选

特朗普越来越“少儿不宜”，美国父母很难堪

SARAH LYALL 2016年3月11日