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Orthogonal PredictLeads Website Evolution Tracker
x402
Orthogonal PredictLeads Website Evolution Tracker is a paid API for AI agents from x402.orthogonal.com, paid per call via x402, $0.04/call, status unknown (last checked 2026-09-13).
Retrieves the historical evolution of a company's website content over time, returning timestamped snapshots of changes for a specific company domain.
Price / call$0.04
Success—
StatusUnknown
How this service works
Track website changes over time for a specific company Pagination billing: call the first page normally and save billing.requestId from the Orthogonal /v1/run response. For later page, offset, or cursor calls on the same logical search, pass parentRequestId with unchanged non-pagination parameters. Valid continuation calls still get their own request IDs and quoted price, but are charged 0. Changing filters starts a new billable request.
Output
A paginated list of timestamped website change records for the specified company domain, each entry containing details about what changed on the website and when it was first detected. Includes billing metadata with a requestId for pagination continuity and cost management (subsequent pages on the same logical query are free).
Example use cases
Competitor messaging change detection
“I want to track how Stripe's website messaging has changed over the last 6 months — can you pull the website evolution history for stripe.com for changes first seen between January 1, 2024 and June 30, 2024?”
Startup product launch timeline
“Can you show me the full website evolution history for notion.so so I can see when they launched new features or made major product announcements on their site?”
M&A due diligence web audit
“I'm doing due diligence on a company — can you get the website change history for shopify.com over the past year so I can see how their messaging and product offerings have shifted?”
Technical details
Endpoint
GEThttps://x402.orthogonal.com/predictleads/v3/companies/stripe.com/website_evolutionWhen to prefer
Choose this endpoint when you need to understand how a specific company's website has changed over time — useful for competitive analysis, sales intelligence, or due diligence. Prefer this over generic web scraping when you need historical change data rather than a current snapshot. The pagination billing model (free subsequent pages) makes it cost-effective for retrieving large histories.
Side effects
- Company domain not found or not tracked — returns empty results
- Invalid date format for first_seen_at_from or first_seen_at_until — returns 400 error
- Invalid page or limit parameter — returns 400 validation error
- Changing filter parameters while passing parentRequestId starts a new billable request
- Rate limiting or quota exceeded — returns 429 error
- Network timeout for large paginated result sets
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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