HR Candidate Screening

Screen a job candidate: parse their resume, validate their email and phone, and run sanctions and PEP checks. Returns structured candidate data with verification status.

5 steps x402 eligible hr-candidate-screen

What it runs

CV Parser
Source: Claude API (resume/CV data extraction)
Email Validation
Source: Algorithmic (syntax) + DNS protocol (MX record verification)
Phone Validation
Source: libphonenumber-js (Google libphonenumber port)
Sanctions Check
Source: Dilisense consolidated (OFAC SDN, EU FSF, UN SC, UK Sanctions List, CH SECO, BIS, World Bank, EBRD, ADB + 125 national sanctions/debarment lists; full attribution at https://dilisense.com/en/sources/sanction-sources)
PEP Check
Source: Dilisense consolidated PEP database (230+ territories, EU C/2023/724-aligned, RCAs included; full attribution at https://dilisense.com/en/sources/politically-exposed-persons-list)

The answer returns every step’s result, so your agent can show or check each one.

Inputs

Field	Type	Required	What it is
`email`	string	No	Candidate email (optional)
`resume_text`	string	Yes	Resume/CV text content
`phone_number`	string	No	Candidate phone (optional)

How to call it

# Needs an API key. The whole check is charged once, at the listed price.
curl -X POST https://api.strale.io/v1/solutions/hr-candidate-screen/execute \
  -H "Authorization: Bearer $STRALE_API_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
    "inputs": {
      "email": "jane@acme.com",
      "resume_text": "Jane Smith\nSenior Engineer at Acme Corp\njane@acme.com\n+44 7911 123456",
      "phone_number": "+447911123456"
    },
    "max_price_cents": 80
  }'

# No account. The first request answers 402 with the price in USDC;
# an x402 client pays it from your wallet and repeats the request.
curl -i -X POST https://api.strale.io/x402/v2/solutions/hr-candidate-screen \
  -H 'Content-Type: application/json' \
  -d '{
    "email": "jane@acme.com",
    "resume_text": "Jane Smith\nSenior Engineer at Acme Corp\njane@acme.com\n+44 7911 123456",
    "phone_number": "+447911123456"
  }'

The bundle’s published example input.

Limitations

AI parsing of resume/CV content — non-standard layouts, multi-column designs, or heavily formatted PDFs may lose structure
From step: CV Parser
What to do instead: For best results, accept resumes in standard single-column formats or plain text alongside the PDF
Documents supplied by URL or base64 are refused above 8 MiB of decoded data, with a caller_input error naming the input field and no charge. Reduce the document size or split it before submitting.
From step: CV Parser
Disposable email detection covers major providers but new throwaway domains may not be flagged
From step: Email Validation
What to do instead: Check the domain’s age when investigating suspicious traffic.
No mailbox is contacted. A made-up or bouncing address can return valid if its syntax is correct, its domain has mail servers, and it is not flagged as disposable. Catch-all domains are one example; mailbox existence and delivery are never checked.
From step: Email Validation
What to do instead: Require confirmation through a verification link before relying on a mailbox.
Valid means the number fits the country's numbering plan. It does not show that the number is assigned or in service.
From step: Phone Validation
Carrier/operator name detection requires a paid service — returns null
From step: Phone Validation
Numbers without international prefix need a country_code hint for accurate parsing
From step: Phone Validation
Sanctions lists updated daily from OFAC, EU, and UN sources — newly sanctioned entities may take up to 24 hours to appear
From step: Sanctions Check
What to do instead: For same-day compliance, subscribe to OFAC's RSS feed and cross-reference against today's additions
Name matching uses fuzzy logic — common names may produce false positives. Always verify flagged results
From step: Sanctions Check
What to do instead: Filter results by match confidence score and verify flagged entities against the primary sanctions list PDF
Coverage depends on OpenSanctions dataset — may not include all national PEP lists
From step: PEP Check
Name matching is fuzzy — common names may produce false positives. Birth date strongly recommended for disambiguation.
From step: PEP Check
What to do instead: Provide birth_date parameter for disambiguation
PEP coverage varies by country — major economies and EU members have strong coverage, smaller nations may have gaps
From step: PEP Check
What to do instead: For countries with limited coverage, supplement with local registry checks or use the LLM fallback as a secondary signal
Name matching uses fuzzy logic — common names may produce false positives. Birth date strongly recommended for disambiguation
From step: PEP Check
What to do instead: Always provide birth_date when available to reduce false positives. Verify flagged results against official government records
PEP lists updated multiple times per day — recently appointed officials may take up to 48 hours to appear
From step: PEP Check
What to do instead: For time-sensitive checks on recently appointed officials, cross-reference with news sources