Research Module
The Research Module is the commercial layer of the platform for verified data collection (Data-as-a-Service).
Unlike Events (where the goal is physical impact: cleanup/planting), the goal of Research is to provide reliable information about the state of the world for management decision-making. Clients (Private Business, Ad Agencies, Developers, Agricultural Holdings) post paid assignments, and users (Scouts) execute them as a distributed network of sensors.
1. Task Taxonomy
The protocol supports an expanded set of task types from ecological monitoring to commercial urban audits.
🏕️ General & Ecological
👣
Path Inspection
Route Inspection. The Scout must traverse a specific track with video recording enabled. (Examples: Monitoring hiking trails, reserve fence integrity, pipeline inspection).
📍
Point Check
Spot Verification. Visiting specific coordinates to verify the status of an object. (Examples: Was the dump cleaned? Is the sensor working? Is the tree alive?)
🔭
Area Scan
Zone Scanning. Searching for objects within a defined radius. (Examples: Counting invasive plants, finding bird nests, assessing beach pollution density).
🔬 Science & Monitoring
⏳
Chronicle
Time-Lapse. Regular recording of a single object from the exact same angle to track dynamics. (Examples: Construction progress, water level changes, glacier melting).
📡
Ground Truth
Satellite Verification. Ground-level confirmation of remote sensing data. (Examples: Verifying "heat spots" (fire?), refining deforestation boundaries, calibrating agro-drones).
🏙️ Urban Infrastructure (City Maintenance)
🏙️
Urban Audit
Accessibility & Standards. Checking compliance with regulations. (Examples: Wheelchair ramps, street lighting, bike lane quality, facade condition).
🚦
Roads & Transit
Transport Assets. Monitoring road network conditions. (Examples: Potholes, damaged signs, parking occupancy, EV charging station status).
🧹
Utility Check
Sanitation. Verifying municipal service performance. (Examples: Trash bin fullness, snow clearing status, open manholes, fallen branches).
🏢 Commercial & Industrial (B2B)
📢
Ad Verification
OOH Monitoring. Auditing marketing assets. (Examples: Billboard condition, night lighting check, digital screen visibility, checking for illegal flyers).
🏗️
Construction
Remote Supervision. Monitoring development sites. (Examples: Crane activity status, fence integrity, external facade damage, abandoned building checks).
2. Workflow
Research tasks operate on a Bounty model (Reward for Result).
Creation: The Client creates a task, specifying geolocation, quantity of reports, media requirements (Photo/Video), and sets a reward (e.g., $10 per report).
Escrow: The total budget (Rewards + 10% Platform Fee) is deducted from the Client and locked in the Task Escrow.
Action: A Scout finds the task on the Research Layer, arrives at the location, and captures the media.
Upload Constraint: The report must be submitted no later than 12 hours from the moment of capture.
Video Storage: Heavy video files are uploaded to external storage (Dropbox, Google Drive, iCloud) with a secure link provided.
Validation:
Level 1 (Truth Pipeline): The AI Agent checks EXIF metadata (GPS/Time), performs a Physics Check (shadow analysis via SunCalc), and cross-references weather data with historical records (Open-Meteo).
Level 2 (Client Review): The Client receives the pre-validated report and clicks Approve or Reject in their dashboard.
Payout: Upon successful acceptance, funds are instantly transferred to the Scout's balance.
3. Data Technical Standards
To ensure data has legal or commercial value, the protocol imposes strict requirements on source files:
No-Edit Policy: Only "raw" files without post-processing are accepted.
Resolution: Minimum resolution for Photos is 12MP; for Video, 1080p @ 30fps.
Metadata Integrity: All files must contain original EXIF metadata (GPS, Timestamp, Device Model) to pass the automated Truth Engine audit.
4. Use Cases
Municipalities: Saving on staff inspectors. Residents verify street cleaning quality and pothole repairs.
Ad Agencies: Real-time monitoring of billboard conditions and competitor placements nationwide.
Real Estate Developers: Remote control of construction progress and contractor activity.
Scientific Institutes: Collecting Big Data for climate models (Ground Truth) at a global scale.
Insurance Companies: Real-time damage assessment from natural disasters in the first hours.
Data Privacy: Primary data (photos/videos) belongs to the Client. The platform uses it for AI training only in an anonymized form.
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