FIDEO SOLUTIONS

Identity intelligence for review assistance & due diligence

Turn complex review workflows into clear, confident decisions

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307 billion

identifiers and relationships

95 billion

fraud attempts blocked annually

18 billion

monthly observations

3.2 billion

globally validated individuals

Deepen insight, reduce risk, speed decisions

Manual review and due diligence are essential, but they’re often slow, inconsistent, and siloed. Fideo uses real-time signals and our AI-powered identity graph to pull scattered identity data into clear, structured context—surfacing relationships and risk-relevant insights inside your existing review workflow—so analysts and investigators can evaluate complex cases faster with greater confidence.

Fideo Signals & Fideo Verify

Reduce ambiguity and prioritize what matters

Fideo Signals and Fideo Verify add reliable identity context and connections to your review and due diligence work, making risk evaluations clearer. They’re delivered through a unified API or data feed and plug into your case management, analytics, or custom tools—so they work within your existing processes and controls.

Enrich case context

Signals and Verify add structured, connected context so reviews are faster and less error-prone.

Linked identity histories
Relationships across people, devices, and behaviors
Evidence of coordinated or suspicious activity
Real-time signals that adapt as new data arrives

Validate risk with confidence

Fideo supports risk-based analysis while you keep final control.

Link identities across sources
Distinguish low- vs. high-risk patterns
Unify fragmented identity data into profiles
Reveal relationships missed in siloed data

Automate review triage

Fideo supports automated review workflows to move from reactive to structured risk routing.

Prioritize high-risk cases using identity linkages
Deprioritize low-risk alerts to cut overhead
Auto-enrich ambiguous cases with added context
Use rules or AI, aligned to your risk criteria

LEARN MORE ABOUT FIDEO SIGNALS

LEARN MORE ABOUT FIDEO VERIFY

Strengthen due diligence

Detect network-level signals

Uncover coordinated relationships, shared devices, or suspicious behavioral clusters that single attributes cannot reveal.

Reveal hidden associations

Use identity graph linkages to connect seemingly unrelated elements and surface patterns relevant to due diligence.

Improve investigative outcomes

Deliver richer context to fraud models and decision engines without adding customer friction.

Developer-first by design

Embed identity intelligence in minutes, not months

Fideo Signals and Fideo Verify are built for teams that need review-ready identity context without heavy lift. Get real-time signals, relationship insights, and enrichment through a single unified API or data feed—so you can move fast while staying aligned with your security, governance, and audit requirements.

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VIEW API DOCS

INTEGRATE TO YOUR LLM

Fast to implement, built for scale

Lightweight integration to get Signals and Verify into production quickly—without reworking your workflow.

Unified delivery: API or data feed

Use real-time calls for review triggers, batch feeds for enrichment, or exports for offline analytics and reporting.

Works inside your existing tools

Integrate directly into case management, analytics platforms, or custom review tooling—within your current decision frameworks.

Explainable and auditable outputs

Review-friendly results designed for human interpretation, audit trails, and compliance reporting—so intelligence stays transparent and accountable.


curl -X POST \
 https://api.fideo.ai/verify \
 -H 'Authorization: Bearer {Your API Key}' \
 -H "Content-Type: application/json" \
 -d '
{
 "emails": [
  "[email protected]"
],
 "phones": ["+19175550199"],
 "profiles": [
 {
  "service": "x",
  "username": "mariatrustywell",
  "url": "https://x.com/mariatrustywell"
 }
],
"name": {
 "given": "Maria",
 "family": "Trustwell",
 "full": "Maria A. Trustwell"
},
"organization": "Northwind Mutual",
"title": "VP, Deposit Risk",
"location": {
 "addressLine1": "19 Highview Blvd",
 "city": "Brookhaven",
 "region": "New York",
 "regionCode": "NY",
 "postalCode": "11719",
 "country": "United States",
 "countryCode": "US"
},
"ipAddress": "65.142.71.22",
"birthday": "1982-07-04"
}

{
 "risk": 0.9016137062189019,
 "checks": [
   {
   "id": "BREACHED_IDENTITY_COMPROMISED",
   "state": "MED",
   "name": "Identity Compromised in last 30 days",
   "description": "The identity has been compromised in the last month, which could indicate a medium potential fraud attempt.",
   "risk": "MED",
   "checkPackage": "Breached"
  },
  {
   "id": "IP_GEOLOCATION_MISMATCH",
   "state": "TRUE",
   "name": "IP geolocation mismatch",
   "description": "The IP geolocation does not match the provided address, indicating a potential fraud attempt.",
   "risk": "HIGH",
   "checkPackage": "IP Address"
  },
  {
   "id": "IP_TYPE",
   "state": "TOR",
   "name": "TOR Node detected",
   "description": "A very high-risk IP, as Tor and anonymizers are commonly linked to privacy-conscious users but are also frequently associated with criminal activity, malware, and fraud attempts.",
   "risk": "HIGH",
   "checkPackage": "IP Address"
  }
 ]
}