Evals for Reality Defender

API key generation and authentication

Creating a RealAPI account on the Reality Defender Platform and authenticating requests with the resulting key.

SDK language selection and setup

Choosing among the Python, TypeScript/JavaScript, Go, Rust, and Java SDKs, or connecting directly over HTTPS.

Media upload across supported types

Sending image, audio, and video files through one endpoint, including SDK-handled upload and polling.

Structured result consumption

Interpreting JSON responses carrying a manipulation probability score and explainable indicators, programmatically or in the dashboard.

Ingest paths for media and documents

Drag-and-drop of video, audio, image, and document files, pasted social links, and bulk upload of large datasets.

Result review and manipulation severity

Reading per-scan visual indicators of altered regions and a Manipulation Probability Score expressed from Low to Critical.

Export and record-keeping

Producing standardized, traceable exports intended to hold up in reports, briefings, and editorial reviews.

Plan fit and scan capacity

Matching the self-serve tier's scan allowance, seat count, and modality coverage against enterprise-scale deployment.

Real-time call stream analysis

Applying the deep-learning model ensemble to each call's audio stream for signs of manipulation as the call proceeds.

Caller authentication decisions

Verifying that the voice an agent hears is genuine before trust is granted on high-risk calls.

Signals for fraud review and escalation

Surfacing detection signals and confidence indicators analysts can act on during reviews or escalations.

Routing and agent workflow impact

Directing AI-powered callers to AI agents so human callers reach live agents, without slowing interactions.

Enablement in a live meeting

Activating Reality Defender in any Zoom or Teams meeting that requires verification, with no integration work.

In-meeting verdicts and alerts

Presenting Authentic or Manipulated labels with confidence scores, and alerting the team when manipulation is detected.

Host response actions

Rescanning or ending a meeting early once a manipulation result appears.

Post-meeting reporting

Reviewing detailed post-meeting reports and insights in the Reality Defender dashboard.

Watermarking versus inference stance

Explaining why watermarking is rejected as requiring provenance, ground truth, and universal generator buy-in, and how the 1-99% probability rating substitutes.

Model ensemble and cross-validation

Describing independently trained models that cross-validate results, drawing on CNNs, Transformers, ViTs, and large foundation models.

Analysis dimensions behind a score

Spatial, temporal, and frequency domain analysis plus domain-specific feature losses such as image artifacts.

Defensible, explainable output

Translating a probability score and its indicators into findings that survive scrutiny in investigations and briefings.

Certifications and compliance standards

SOC2 Type 2, GDPR, UK Cyber Essentials, and the broader US, UK, and EU certification range.

Data retention and privacy limits

RealMeeting analysis happening in real time with no personal data, recordings, or voiceprints stored.

Customer eligibility boundaries

Positioning for large enterprises, governments, and platforms rather than individual consumers or end users.

Modality and product scope accuracy

Keeping claims aligned to audio, video, image, and text coverage and to what each product surface actually delivers.