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Signal Forge Business Snapshot
x402
Signal Forge Business Snapshot is a paid API for AI agents from signalforgestudios.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-15).
Fetches and analyzes a business website URL to produce a prospect qualification report with contact info, marketing observations, trust signals, and a lead-generation fit score.
Price / call$0.01
Success—
StatusUnknown
How this service works
Signal Forge Studio makes printable wall art and small digital kits for online sellers.
Output
A JSON object containing: a prospect qualification score (0-100), a recommendation (e.g. 'qualify'), detected contact channels (emails, phone numbers, social links, contact page URL), opportunity signals (e.g. weak CTA, missing policy language), categorized marketing and trust observations each with severity and confidence, the identified business type, and a confidence score for the overall analysis.
Example use cases
Pre-call research for sales reps
“Before I cold call this landscaping company at https://greenleaf-landscaping.com, can you pull a business snapshot on them — I want their phone and email, and a quick read on whether their site has a booking CTA or any trust signals?”
Agency vetting potential clients
“I'm thinking of pitching our digital marketing services to https://sunsetplumbing.com — can you analyze their site and tell me what marketing gaps they have and how likely they are to need help?”
Automated lead scoring pipeline
“I have a list of home-service businesses I'm prospecting — start with https://acme-hvac-services.com and give me a qualification score, their contact channels, and any opportunity signals I should mention in my outreach.”
Technical details
Endpoint
POSThttps://signalforgestudios.com/x402/business-snapshotWhen to prefer
Choose this endpoint when you need a quick, structured prospect-qualification report on a specific business website — especially for lead-generation or sales outreach workflows. It is ideal when you want contact extraction, marketing gap analysis, and a numeric fit score in a single call rather than running separate scraping, enrichment, and scoring steps. Prefer this over general web scrapers when the goal is sales intelligence rather than raw content extraction.
Side effects
- URL is unreachable or returns non-200 status — evidence array will show error status and analysis may have low confidence
- Website content is too sparse or behind a login — sampled bytes insufficient for meaningful scoring
- Business type cannot be determined — business_type may be null or generic
- No contact information found — contact_channels fields return empty arrays
- Confidence score is low (below 50) — recommendation may be unreliable and should be treated with caution
Output
Schema · Response
{
"type": "json",
"example": {
"data": {
"evidence": [
{
"url": "https://example-roofing-company.com/",
"status": 200,
"bytes_sampled": 12000,
"fetched_at_utc": "2026-09-02T00:00:00.000Z"
}
],
"use_case": "lead_generation",
"confidence": 88,
"analyzed_url": "https://example-roofing-company.com/",
"service_name": "Signal Forge Prospect Qualifier",
"service_slug": "prospect-qualifier",
"business_type": "home_service",
"canonical_host": "example-roofing-company.com",
"recommendation": "qualify",
"contact_channels": {
"email_found": [
"info@example-roofing-company.com"
],
"phone_found": [
"555-555-1212"
],
"social_links": [],
"contact_page_url": "https://example-roofing-company.com/contact",
"contact_page_found": true
},
"opportunity_signals": [
"Trust/friction issue: missing_policy_language",
"Marketing issue: weak_conversion_cta",
"Lead-generation fit score: 77"
],
"marketing_observations": [
{
"code": "weak_conversion_cta",
"evidence": "No clear quote, schedule, booking, or call CTA detected in sampled content.",
"severity": "medium",
"confidence": 70
}
],
"prospect_qualification": {
"score": 77,
"rationale": "Strong first-pass fit for lead-generation or trust-review follow-up."
},
"trust_or_friction_observations": [
{
"code": "missing_policy_language",
"evidence": "Privacy, terms, or policy language was not detected in sampled text.",
"severity": "medium",
"confidence": 65
}
]
},
"success": true
}
}Tags
x402
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