.svg?fit=max&auto=format&n=cJUhKEokp8h2t8Ke&q=85&s=2192fe0b4406e259cba34cdda8acffdc)
These endpoints turn your raw leak data into a security posture: a scored risk profile, leak statistics, trends over time, and a peer benchmark. All are read-only and scoped to your organization.
Risk score
get_organization_risk_score returns your current posture as nine weighted factors (score_a through score_i). Each factor carries a value, a plain-text message explaining it, and when it was last computed.
score_i. Reading it: treat the *_message fields as a prioritized remediation list — the lowest-scoring factors are where your exposure concentrates. *_last_update tells you how fresh each factor is.
Leak statistics
get_organization_stats gives a quick sense of scale and skew:
median well below the average means a few large dumps are inflating your total — worth isolating those events rather than treating exposure as evenly spread.
Risk score over time
get_organization_risk_score_history returns a weekly series (set how far back with weeks — default 12, max 260). Each point carries two scores:
leak_risk_score— risk from your exposed and leaked data.infra_risk_score— risk from your exposed infrastructure.
Leak volume over time
Two weekly series, both accepting theweeks parameter and returning the same { date, leak_count } shape:
get_organization_weekly_leak_count_history— the number of leaks attributed to each individual week.get_organization_total_leak_count_history— the cumulative leak total as it grows across the period.
Benchmark vs. peers
get_organization_benchmark_weekly_leak_count_history returns the peer average for each week:
Competitors
The peer benchmark is built from competitors you choose, by domain. List them —list_organization_competitors returns a paginated set:
add_organization_competitor, by domain:
remove_organization_competitor with the competitor’s id from the list, passed as a query parameter: ?competitor_id=11.
Reading it: each competitor’s leak_count is the same metric as your own, so you can answer “is our exposure normal for our sector?” — the context that turns a raw number into a decision.