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The Dataspike API is a unified AI interface for identity verification, document intelligence, AML screening, deepfake detection, crypto risk analysis (KYT), and real-time behavioral and device analytics. All endpoints follow predictable JSON schemas, standard HTTP semantics, and are optimized for low-latency, high-throughput inference at scale. Whether you’re building onboarding flows, fraud prevention pipelines, or real-time risk engines, Dataspike provides a single, consistent API layer that abstracts complex AI systems into simple, reliable REST calls.

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🌐 Base URLs

Use the appropriate environment for development, testing, or production workloads: Each environment has its own API key and isolated data model.

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🔑 Authentication

All API requests must be authenticated using your environment-specific API key. You can generate and manage keys from the Dashboard → API section:
👉 https://dash.dataspike.io/api Keys for Sandbox and Production are not interchangeable.

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Required headers

  • Content-Type must always be application/json
  • ds-api-token authenticates your request
  • Missing or invalid tokens return 401 Unauthorized

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📡 Making requests

The API uses standard HTTP methods: All responses are JSON and include consistent result structures and status codes.

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Example request

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🔔 Webhooks

Use webhooks to receive real-time notifications when key events occur — such as completed verifications, AML matches, or KYT address alerts. Configure webhooks under:
Dashboard → API → Webhooks Each environment (Sandbox & Production) has its own webhook configuration and delivery logs. Common webhook event types include:
  • AML Screening
  • Docver Check
  • Deepfake Video Analysis
Webhook payloads follow the same JSON schemas used by the API.

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🧱 Core API Domains

Applicants
Persistent identity records that link all workflows — verifications, AML checks, KYT crypto analysis, deepfake signals, and behavioral risk events. Verification
Document checks, biometric matching, liveness detection, and selfie-to-ID comparison. Works for both applicant-linked flows and fully stateless sessions. Deepfake Analysis
Detection of AI-generated or manipulated identity media across images, uploaded videos, and real-time video streams — including WebRTC, LiveKit, Google Meet, and other streaming platforms. AML Screening
Global sanctions, watchlist, PEP, and adverse-media checks with automated scoring and continuous monitoring. KYT (Crypto Risk Intelligence)
Risk evaluation for blockchain addresses and transactions: sanctions exposure, wallet behavior analysis, clustering heuristics, and counterparty intelligence. Document Intelligence
AI models for document classification, structured data extraction, and fraud pattern detection. Webhooks
Real-time events for verifications, AML matches, KYT alerts, deepfake outcomes, and applicant updates.