TalentPulse Executive Compensation Benchmark is a paid API for AI agents from talentpulse.theaslangroupllc.com, paid per call via x402, $0.25/call, status unknown (last checked 2026-09-13).
Returns executive and C-suite total compensation benchmarks by role, sector, seniority level, and country, including base salary percentiles, bonus/STI structure, equity/LTI grant norms, benefits, and total target compensation.
Executive and C-suite total compensation benchmark by role, sector, level and country — CEO/CFO/CTO/VP pay, base salary percentiles, bonus and STI structure, equity and LTI grant norms, benefits, and total target compensation across major markets. For compensation, HR, comp-committee and board agents. Worldwide, any currency, 10 languages.
A structured compensation benchmark report including base salary percentiles (10th/25th/50th/75th/90th), short-term incentive (bonus/STI) target percentages, long-term incentive (equity/LTI) grant value norms, benefits package benchmarks, and total target compensation figures for the specified executive role, sector, seniority level, and country — denominated in the requested currency.
GEThttps://talentpulse.theaslangroupllc.com/api/talent/compensationUse this endpoint when you need authoritative executive and C-suite compensation data specifically (CEO, CFO, CTO, COO, VP-level), including the full pay mix of base, bonus/STI, equity/LTI, and total target compensation. Prefer this over general salary benchmark endpoints when the focus is on senior leadership roles, compensation committee decisions, board approvals, or equity structure norms rather than individual contributor or mid-level manager pay.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"role": "CFO",
"level": "C-suite",
"sector": "SaaS",
"country": "USA",
"base_salary": {
"p25": 280000,
"p75": 500000,
"p90": 700000,
"median": 380000,
"currency": "USD"
},
"long_term_incentive": {
"type": "RSU",
"vesting_schedule": "4 years with 1-year cliff",
"annual_grant_value_usd": "$400k-$1.5M"
},
"total_target_compensation": {
"p75_usd": 1100000,
"median_usd": 750000
}
}
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