BEAT is a game-changing protocol that enables seamless event processing and analysis across diverse domains and platforms. Unlike traditional data formats, which separate events into distinct stages (Event → Record → Analyze), BEAT combines these steps into a single, unified timeline. This innovative approach eliminates latency and enables instant feedback loops between humans and AI.
The foundation of BEAT is its Semantic Raw Format (SRF) structure, which employs a 1-byte scan to eliminate the need for separate parsing or transformation. This unique design also expresses human decision flow as a linear stream, allowing both humans and AI to interpret events in real-time. By doing so, BEAT not only optimizes performance but also enables AI to refine decisions instantly, fostering exploratory research towards AGI and quantum computing.
To illustrate the power of BEAT, consider the following JSON example:
{"meta":{"device":"mobile","referrer":"search","session_metrics":{"total_scrolls":56,"total_clicks":15,"total_duration_ms":1205200}},"events_stream":[{"tab_id":1,"context":"home","timestamp_offset_ms":0,"actions":[{"name":"nav-2","time_since_last_action_ms":23700},{"name":"nav-3","time_since_last_action_ms":190800},{"name":"help","time_since_last_action_ms":37500,"repeats":{"count":1,"intervals_ms":[12300]}},{"name":"more-1","time_since_last_action_ms":112800}]},{"tab_id":1,"context":"prod","time_since_last_context_ms":4300,"actions":[{"name":"button-12","time_since_last_action_ms":103400},{"name":"p1","time_since_last_action_ms":105000,"event_type":"tab_switch","target_tab_id":2}]},{"tab_id":2,"context":"p1","timestamp_offset_ms":0,"actions":[{"name":"img-1","time_since_last_action_ms":240300},{"name":"buy-1","time_since_last_action_ms":119400},{"name":"buy-1-up","time_since_last_action_ms":2900,"flow_intervals_ms":[1300,800,800],"flow_clicks":3},{"name":"review","time_since_last_action_ms":53200}]},{"tab_id":2,"context":"review","time_since_last_context_ms":14000,"actions":[{"name":"nav-1","time_since_last_action_ms":192300,"event_type":"tab_switch","target_tab_id":1}]},{"tab_id":1,"context":"prod","time_since_last_context_ms":0,"actions":[{"name":"mycart","time_since_last_action_ms":5400,"event_type":"tab_switch","target_tab_id":3}]},{"tab_id":3,"context":"cart","timestamp_offset_ms":0}]}
258 Bytes
_device:mobile_referrer:search_scrolls:56_clicks:15_duration:12052_beat:!home~237nav-2~1908nav-3~375/123help~1128more-1~43!prod~1034button-12~1050p1@---2!p1~2403img-1~1194buy-1~13/8/8buy-1-up~532review~140!review~1923nav-1@---1~54mycart@---3!cart
This example demonstrates BEAT's ability to compress data while preserving the original story and event visibility. However, it's essential to note that BEAT's value lies in its specification, not just data compression.
BEAT: The Semantic Raw Format (SRF) Standard
BEAT is an expressive format for multi-dimensional event data, capturing the space where events occur, the time when events occur, and the depth of each event as linear sequences. These sequences convey meaning without parsing, preserve information in their original state, and maintain a fully organized structure.
BEAT's 5W1H semantic stream uses customizable token assignments within Printable ASCII (0x20 to 0x7E). This domain-agnostic format can be applied to various environments, including Finance, Game, Healthcare, IoT, Logistics, and more. Each domain may freely adjust token assignments while maintaining the semantic stream.
BEAT Tokens
! = Contextual Space (who)
~
= Time (when)
^
= Position (where)
*
= Action (what)
/
= Flow (how)
:
= Causal Value (why)
These six core tokens, combined with eight-state (3-bit) semantic layout, form the foundation of the BEAT format. Aligned with 5W1H, they fully capture the intent of human-designed architectures while leaving two states for domain-specific extensions.
Extension Tokens
The underscore (_) is an example of an extension token used for serialization and to express meta fields, such as _device:mobile_referrer:search_beat:!page~10button:small~15menu. These meta fields annotate BEAT sequences without altering their core format while preserving 1-byte scan performance.
In Web domains like Full Score, the at sign (@) is used as an extension token to link multiple BEAT sequences, including cross-tab transitions. Extension tokens can be used in a similar way for app instances, device clusters, or any other parallel sequences in other domains.
Hyphen and Space
Hyphens (-) and spaces ( ) are generally not treated as extension states and can be used freely as flexible bind markers.
Maximizing Expressive Power
The eight-state semantic layout defines a structural constraint of the BEAT specification. To maximize expressive power, BEAT is designed so that all 2^3 states can be used. As a result, the semantic stream can be scanned efficiently across both classical and quantum computing environments.
By combining event processing, analysis, and feedback loops in a single timeline, BEAT revolutionizes mobile marketing by enabling real-time decision-making and optimization. Its unique design and expressive format make it an invaluable tool for marketers seeking to harness the power of mobile data.