Systems and methods for validating interaction with third-party interactive media

1. A method comprising:

presenting, by a client device, within an execution environment of an application, the execution environment being a sandboxed environment within the application, a third-party media stream, wherein the application cannot verify whether a user actually engages with the third-party media stream, wherein the third-party media stream comprises an interactive preview session of the third-party media stream received by the client device from a remote host server via a network;

detecting, by the client device during presentation of the third-party media stream, a plurality of interaction events with the client device;

transmitting, to the remote host server via the network, a description of the plurality of detected interaction events;

updating, by the client device, a data set with data corresponding to the plurality of detected interaction events;

generating, by applying an interaction heuristic to the data set, an interaction score indicative of a likelihood of engagement with the third-party media stream, wherein the likelihood of engagement is indicative of interaction with the third-party media stream during the interactive preview session;

providing the interaction score to the application, and

performing, by the application, an action based upon the interaction score, wherein the action is determined based on the interaction score.

2. The method of claim 1 , comprising detecting the interaction event by intercepting the interaction event.

3. The method of claim 1 , wherein the interaction event is one of:

a device movement event detected by a motion sensor on the client device, or

a tactile input event that is one of a screen tap, a button depression, a button release, or a mouse click.

4. The method of claim 1 , wherein the interaction heuristic is based on a number or frequency of tactile input events detected during presentation of the received third-party media stream.

5. The method of claim 1 , wherein the interaction heuristic is based on a number or frequency of device movement events detected during presentation of the received third-party media stream.

6. The method of claim 1 , comprising:

capturing a first sample of pixel states for a set of display pixels on the client device at a first time during presentation of the received third-party media stream;

capturing a second sample of pixel states for the set of display pixels on the client device at a second time during presentation of the received third-party media stream;

determining that at least a portion of the set of display pixels changed state between the first sample and the second sample; and

updating the data set with data corresponding to the portion of the set of display pixels changed.

7. The method of claim 6 , wherein the set of display pixels is a set of pixels initially selected at random.

8. The method of claim 6 , wherein the set of display pixels is a set of display pixels allocated to presentation of the third-party media stream.

9. The method of claim 6 , further comprising selecting the interaction heuristic responsive to the portion of the set of display pixels changed.

10. The method of claim 1 , comprising transmitting the data set to a remote computing device via a network, wherein the remote computing device applies the interaction heuristic.

11. The method of claim 1 , wherein the indicator of engagement with the third-party media stream is one of a Boolean value or a value within a predefined range.

12. The method of claim 1 , wherein the application being agnostic to the content of the third-party media stream comprises the application having no internal information regarding the content or interface of the third-party media stream.

13. The method of claim 1 , wherein the application being agnostic to the content of the third-party media stream comprises the application having no internal information regarding the location of the interactive elements of the third-party media stream.

14. The method of claim 1 , wherein the interaction score is generated without knowledge of content presented in the third-party media stream.

15. A system comprising a client device comprising a processor and memory, the memory storing instructions that, when executed by the processor, cause the processor to:

present, within an execution environment of an application, the execution environment being a sandboxed environment within the application, a third-party media stream, wherein the application cannot verify whether a user actually engages with the third-party media stream, wherein the third-party media stream comprises an interactive preview session of the third-party media stream received by the client device from a remote host server via a network;

detect, during presentation of the third-party media stream, a plurality of interaction events with the client device;

transmit, to the remote host server via the network, a description of the plurality of detected interaction events;

update a data set with data corresponding to the plurality of detected interaction events;

generate, by applying an interaction heuristic to the data set, an interaction score indicative of a likelihood of engagement with the third-party media stream, wherein the likelihood of engagement is indicative of interaction with the third-party media stream during the interactive preview session;

provide the interaction score to the application; and

perform an action based upon the interaction score, wherein the action is determined based on the interaction score.

16. The system of claim 15 , the client device further comprising a motion sensor, wherein the interaction event is one of:

a device movement event detected by the motion sensor.

17. The system of claim 15 , wherein the interaction event is a tactile input event that is one of a screen tap, a button depression, a button release, or a mouse click.

18. The system of claim 15 , wherein the interaction heuristic is based on a number or frequency of interaction events detected during presentation of the received third-party media stream.

19. The system of claim 15 , the client device further comprising a screen divided into pixels, the memory further storing instructions that, when executed by the processor, cause the processor to:

capture a first sample of pixel states for a set of display pixels on the client device at a first time during presentation of the received third-party media stream;

capture a second sample of pixel states for the set of display pixels on the client device at a second time during presentation of the received third-party media stream;

determine that at least a portion of the set of display pixels changed state between the first sample and the second sample; and

update the data set with data corresponding to the portion of the set of display pixels changed.

20. The system of claim 19 , wherein the set of display pixels is a set of display pixels allocated to presentation of the third-party media stream.

21. The system of claim 19 , the memory further storing instructions that, when executed by the processor, cause the processor to select the interaction heuristic responsive to the portion of the set of display pixels changed.

22. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to:

present, within an execution environment of an application, the execution environment being a sandboxed environment within the application, a third-party media stream, wherein the application cannot verify whether a user actually engages with the third-party media stream, wherein the third-party media stream comprises an interactive preview session of the third-party media stream received by a client device from a remote host server via a network;

detect, during presentation of the third-party media stream, a plurality of interaction events with the client device;

transmit, to the remote host server via the network, a description of the plurality of detected interaction events;

update a data set with data corresponding to the plurality of detected interaction events;

generate, by applying an interaction heuristic to the data set, an interaction score indicative of a likelihood of engagement with the third-party media stream, wherein the likelihood of engagement is indicative of interaction with the third-party media stream during the interactive preview session;

provide the interaction score to the application; and

perform an action based upon the interaction score, wherein the action is determined based on the interaction score.

23. The non-transitory computer-readable medium of claim 22 , wherein the interaction heuristic is based on a number or frequency of interaction events detected during presentation of the received third-party media stream.