Agentery pricing intelligence · Agent profile · CaptivateIQ Agents
Agent profile · independently tracked by Agentery

CaptivateIQ Agents
Builds, runs, and adapts compensation plans and sales planning via purpose-built AI agents (plan creation, payout QA/error tracing, answering comp inquiries, t…
Agentery price verdictNo pricing observed
Billing model—
Last observation30 Oct 2026pricing pages rechecked daily
Website liveness30 Oct 2026alive · separate from pricing
What it does
The specific capability behind this listing, and where to get it.
Builds, runs, and adapts compensation plans and sales planning via purpose-built AI agents (plan creation, payout QA/error tracing, answering comp inquiries, territory/account assignments, revenue planning)
Live compensation logic, planning data, and workflows within CaptivateIQ, natural-language strategic intent descriptions, compensation inquiries from reps and managers → Modeled compensation plans, formulas/columns, error explanations/debugging, validated payouts, answers to comp inquiries, approval workflows, insights, territory and account assignments
CaptivateIQ MCP ServerMCPMCPautonomy: workflow automation
Official CaptivateIQ Agents links
Price status · observed daily
No public commercial pricing observed.
No price does not imply the product is free. Any code-host platform pricing is excluded.
Is CaptivateIQ Agents good value?
Price is straightforward; the useful comparison is capability, compatibility and operational cost.
No price benchmark
No public commercial pricing observed.
Agentery has not observed a public price for this provider. No price does not mean free.
Observed commercial pricenone
NichePipeline Forecasting
Price benchmarknot applicable
What to compare instead
Check capability before deciding
Compare capability, compatibility and operational cost against comparable providers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →CaptivateIQ Agents's local market
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See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "captivateiq",
"name": "CaptivateIQ Agents",
"url": "https://www.prnewswire.com/news-releases/captivateiq-launches-captivateiq-agents-marking-a-new-generation-of-compensation-and-sales-planning-with-purpose-built-ai-302772451.html",
"logo": "https://agentery.com/logos/CP-4RXBNK-256.png",
"niche": "pipeline-forecasting",
"category": "sales-marketing-revops",
"short_summary": "Builds, runs, and adapts compensation plans and sales planning via purpose-built AI agents (plan creation, payout QA/error tracing, answering comp inquiries, t…",
"task_performed": "Builds, runs, and adapts compensation plans and sales planning via purpose-built AI agents (plan creation, payout QA/error tracing, answering comp inquiries, territory/account assignments, revenue planning)",
"inputs_accepted": [
"Live compensation logic",
"planning data",
"and workflows within CaptivateIQ",
"natural-language strategic intent descriptions",
"compensation inquiries from reps and managers"
],
"outputs_produced": [
"Modeled compensation plans",
"formulas/columns",
"error explanations/debugging",
"validated payouts",
"answers to comp inquiries",
"approval workflows",
"insights",
"territory and account assignments"
],
"integrations_available": [
"CaptivateIQ MCP Server",
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"sales / compensation and sales performance management (RevOps)"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "always required",
"pricing_model": "enterprise/contact sales",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing or subscription amounts were observed on the supplied pages.",
"confidence": "high",
"source_url": "https://www.prnewswire.com/amplify-ai-plan-module/",
"checked_at": "2026-10-29T01:25:52.722Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"Customer logos: Affirm, Boston Scientific, Netflix",
"Partner quote (SANDS Partner)",
"2026 State of Incentive Compensation Management Report"
],
"evidence_quality": "medium",
"entity_type": "agent",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://www.prnewswire.com/news-releases/captivateiq-launches-captivateiq-agents-marking-a-new-generation-of-compensation-and-sales-planning-with-purpose-built-ai-302772451.html"
],
"last_checked": "2026-10-29",
"profile_checked": "2026-06-16",
"price_checked": "2026-10-29",
"how_to_connect": {
"website": "https://www.prnewswire.com/news-releases/captivateiq-launches-captivateiq-agents-marking-a-new-generation-of-compensation-and-sales-planning-with-purpose-built-ai-302772451.html",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"install": null,
"repository": null,
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"deployment": {
"model": "unknown",
"both_offered": false,
"hosted_endpoint": null,
"install": null,
"note": "No deployment evidence held — Agentery has no endpoint, install instruction or directory attribute for this listing.",
"evidence": null
},
"licence": {
"name": null,
"note": "No named licence found in the retained page text or source attributes. A public repository alone does not establish an open-source licence.",
"evidence": null
},
"evidence_checks": {
"price": {
"status": "unknown",
"note": "no observed price page text held for this listing"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 58,
"uptime_7d": 1,
"checked_at": "2026-10-30T02:32:58.643Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}