From lead signal to decision-ready intelligence.

Qspect turns an email, domain, company name, or structured lead payload into a verified company profile, fit breakdown, risk signals, lead score, and recommended next action.

Try the workspace
Two ways to use Qspect

Start manually, or embed lead intelligence into your workflow.

The same intelligence engine can support a front-end experience for business users and an API integration for product, CRM, onboarding, and internal risk workflows.

Workspace

For sales, CS, and growth teams

Use Qspect directly from the web interface. Describe what you want to verify, enter an email or domain, and watch the analysis stream into a decision-ready result.

  • ✓Natural language lead checks for non-technical teams
  • ✓Fast visual result: profile, score, fit, risk, next action
  • ✓Best for demo requests, free trials, partner checks, and ad-hoc research
API

For product and automation workflows

Connect Qspect to your signup flow, CRM, lead router, partner portal, or internal review system. Send structured lead data and receive normalized intelligence your system can consume.

  • ✓Analyze leads automatically at capture, signup, or form submission
  • ✓Return structured scores, evidence, and decision labels
  • ✓Support routing, prioritization, review queues, and CRM enrichment
1

Describe the verification need

Users can type naturally: check a suspicious demo request, verify whether a free trial account is a real business, or review a potential reseller before moving forward.

EmailDomainCompany namePlain-text ICP
2

Qspect matches, enriches, and checks risk

The engine identifies the likely company, reviews business profile signals, evaluates fit against the user’s criteria, and checks whether obvious risk or inconsistency indicators appear.

Entity matchBusiness profileOnline presenceRisk signals
3

Results stream into a compact decision view

Instead of waiting for a static report, users see the result take shape: who the company is, why it does or does not fit, what risks matter, and what action to take next.

Lead scoreFit rationaleRisk summaryNext action
API workflow

Put Qspect behind your forms, CRM, and review queues.

The API version is built for systems that need the same lead intelligence automatically, without asking a user to open the Qspect workspace.

Example request
POST /v1/leads/analyze
curl https://api.qspect.qcckyc.com/v1/leads/analyze \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
  "lead": {
    "email": "alex@novapay.io",
    "domain": "novapay.io",
    "companyName": "NovaPay Technologies",
    "countryRegion": "Singapore"
  },
  "context": {
    "useCase": "demo_request",
    "icp": "FinTech or B2B software companies in APAC with 50+ employees"
  }
}'

1. Capture a lead event

Trigger Qspect when a user books a demo, signs up for a free trial, submits a partner form, or enters a CRM workflow.

2. Send available signals

Email and domain are enough to start. Company name, phone, country, industry, and ICP context improve matching and prioritization.

3. Receive structured intelligence

Return normalized fields such as matched entity, lead score, fit breakdown, risk flags, evidence summary, and recommended action.

4. Automate the next step

Route high-value leads to SDRs, send low-priority accounts to nurture, flag risky entities for review, or enrich CRM records automatically.

Output

One result, multiple decisions.

Both the workspace and API return the same core intelligence, but in formats suited to each workflow: visual for users, structured for systems.

Entity matchWhich company is behind the lead, with name, domain, geography, and match rationale.
Business profileWhat the company appears to do, where it operates, and how large or established it looks.
Fit breakdownHow well the lead matches your ICP across industry, geography, scale, and relevance.
Risk signalsPossible inconsistencies, weak online presence, risky jurisdictions, or other warning indicators.
NovaPay Technologies Matched from alex@novapay.io · Singapore · FinTech infrastructure
82/100

Decision summary

Likely a real company with strong relevance to the target ICP. Recommended for sales follow-up, with a short verification note before outreach.

Fit breakdown

Industry
88
Region
82
Scale
72
Risk
Low

Evidence

Domain, company naming, regional signals, product category, and web presence are directionally consistent with the submitted lead.

Next action

Prioritize for SDR follow-up. Use company profile and fit rationale as the pre-call brief.

Under the hood

AI exploration grounded in business data.

Qspect combines AI-led discovery with QCC’s corporate data capabilities to help teams move beyond raw email validation and understand the business context behind each lead.

700M+Verified business entities from official registries
200+Countries and regions with deep Greater China coverage
APIDeveloper-ready integration for lead workflows
Get started

Use Qspect where your lead decisions happen.

Try the workspace for manual checks, or connect Qspect API to automate lead verification, prioritization, and review routing.

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