Architecture: How Data Flows in SEEK
SEEK is a system where client nodes collect public data from the internet, send it to the central server, and the server processes, aggregates, and prepares this data for AI training and analytics modules.
How nodes collect traffic
The node connects to the server via a secure connection and receives a list of tasks. It makes requests to public sources, downloading data in the form of HTML, JSON, texts, or metadata. Then comes local preprocessing: cleaning, filtering, compression, deduplication. The prepared data is sent back to the server in encrypted form.
[INFO] Connecting to backend.seek.net... [INFO] Authenticated as node_id=78492 [INFO] Assigned task_id=1337 (source: public_comments_youtube) [FETCH] GET https://youtube.com/comments/thread/XYZ123 → 200 OK (120 KB) [PREPROCESS] Compressed payload: 512 KB → 128 KB [UPLOAD] All batches successfully transmitted (total: 384 KB)
How the server processes data
The server checks integrity, format, and uniqueness of the data. Then comes the aggregation stage: grouping by type, source, and collection time. After this, the data goes into the queue for model training preparation.
[SERVER] Received batch_id=9847 from node_id=78492 [VALIDATION] Checksum OK, schema valid, no duplicate records [AGGREGATOR] Grouped 384 KB → category: comments_youtube [STORAGE] Saved dataset_id=YU7839, size=384 KB, location=data_lake
How data reaches the AI
The server creates datasets from the collected data. These datasets are used for AI training, which improves answer accuracy, enhances recommendations, and generates analytical reports. Updated models are deployed in SEEK and become part of the overall ecosystem.
[DATASET] Created training set: 50,000 comments (lang: en, category: tech) [ML_PIPELINE] Started training task_id=TR567 on dataset_id=YU7839 [MODEL] Updated weights saved: model_v12.3
How rewards are calculated
Nodes send the server statistics on the amount of processed megabytes. Rewards are calculated: for extensions — 1 SEEK per 1 MB, for applications — from 2 SEEK per 1 MB depending on Boost Level. For easier calculation, megabytes are rounded down (for example, 2.9 MB → 2 MB).
[REWARD] Node_id=78492: 2.9 MB processed [REWARD_ENGINE] Calculated: floor(2.9 MB) → 2 MB × 2 SEEK (Boost Level: 1.0x) → 4 SEEK [BALANCE] Updated: 1342.56 SEEK → 1346.56 SEEK
SEEK is a full data pipeline: from data collection by nodes, through server processing, to AI training and participant rewards distribution.