How to Integrate Social Media Background Checks Into Your Platform via API

The Case for API-First Background Checks

If your platform makes decisions based on user identity — a marketplace, dating app, HR software, or professional network — you're already doing some form of vetting. In 2026, the question isn't whether to check, but how to integrate it seamlessly.

Building a background check capability in-house means months of engineering time, platform API negotiations, and ongoing compliance costs. The better path is integrating a purpose-built API that handles the complexity, so your team ships faster.

What ChaJi Global's API Enables

The ChaJi Global API gives your platform three core capabilities:

Profile Search: Submit a name and optional handles. Get back a ranked list of matching social media profiles across Twitter/X, LinkedIn, Instagram, Facebook, and TikTok — with AI-computed confidence scores.

Deep Investigation: Confirm a matched profile, trigger an AI analysis, and receive a structured JSON report in 2–4 minutes. Includes: risk score, behavioral analysis, timeline of activity, network analysis, and professional verification.

Async Report Retrieval: Poll investigation status and retrieve completed reports on your schedule. Supports webhook callbacks for event-driven architectures.

MCP Integration for AI Agents

ChaJi Global is fully compliant with the Model Context Protocol (MCP). If your product uses an AI agent (Claude, GPT, Gemini, or custom LLM), the agent can call ChaJi directly:

search_profiles — cross-platform identity search

investigate_person — trigger a full investigation

get_investigation_status — check progress

get_report — retrieve full findings

Discovery endpoint: https://chaji-global-backend.fly.dev/.well-known/mcp.json

This means your AI assistant can proactively investigate subjects as part of a workflow — without human intervention.

Common Integration Patterns

Pattern 1: Pre-Match Verification (Dating/Matchmaking)

> User requests match → Background check triggered automatically → Results scored → Match surfaced or flagged before conversation starts

Typical latency: 3–5 minutes. Run asynchronously after match intent.

Pattern 2: Vendor Onboarding (Marketplace)

> Vendor submits application → API triggered on submission → Report reviewed by risk team → Approval/rejection with audit trail

Embed the risk score in your risk team's dashboard via our structured JSON output.

Pattern 3: Executive Screening (HR Software)

> Candidate reaches final round → Automated social media check → Report attached to ATS profile → Hiring manager sees findings in context

Use our API to enrich ATS records without changing recruiter workflow.

Technical Requirements

Authentication: Bearer token (API key via header)

Rate limits: 100 investigations/day on Standard tier; custom on Enterprise

Formats: JSON API + .docx download URL

Latency: Phase 1 search < 30s; Phase 2 report 2–4 min

Webhook: POST to your endpoint on completion

Pricing for API Access

|------|--------|------------------|-----|

| Business | 1,000+/mo | $2.90 | 4 min guarantee |

| Enterprise | 10,000+/mo | $1.80 | Custom SLA + dedicated support |

Volume pricing is available for platforms with high throughput requirements. Contact us at hello@chaji.global.

Getting Started

Create a ChaJi Global account and request API access

Review the OpenAPI spec at /docs (staging) or contact us for the spec file

Run a test investigation against our sandbox environment

Integrate into your workflow and go live

ChaJi Global's API is designed for production reliability — with rate limiting, structured error responses, and async architecture so your platform never blocks on investigation latency.

Ready to integrate? Email hello@chaji.global with your use case.