Agentery pricing intelligence · Provider profile · Semilattice - audience prediction
Provider profile · independently tracked by Agentery

Semilattice - audience prediction
simulates how real users react to product changes, concepts, and decisions for discovery, concept validation, feature prioritisation, message testing, conversi…
Agentery price verdictNo pricing observed
Billing model—
Last checked2 Sept 2026pricing & liveness
What it does
The specific capability behind this listing, and where to get it.
simulates how real users react to product changes, concepts, and decisions for discovery, concept validation, feature prioritisation, message testing, conversion flow optimisation, UX comprehension, and usability testing
user models, simulation modes (User Research and User Journey), goals, simulation plans → simulation results showing predicted user reactions to product changes and concepts
MCPChatGPTClaude CodeCursorOAuthStreamable HTTPMCPautonomy: workflow automation
Official Semilattice - audience prediction 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 Semilattice - audience prediction 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
NicheAI Customer Data Platform
Price benchmarknot applicable
What to compare instead
Check capability before deciding
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "semilattice",
"name": "Semilattice - audience prediction",
"url": "https://docs.semilattice.ai/mcp/introduction",
"logo": "https://agentery.com/logos/CP-9A9YHJ-256.png",
"niche": "ai-customer-data-platform",
"category": "sales-marketing-revops",
"short_summary": "simulates how real users react to product changes, concepts, and decisions for discovery, concept validation, feature prioritisation, message testing, conversi…",
"task_performed": "simulates how real users react to product changes, concepts, and decisions for discovery, concept validation, feature prioritisation, message testing, conversion flow optimisation, UX comprehension, and usability testing",
"inputs_accepted": [
"user models",
"simulation modes (User Research and User Journey)",
"goals",
"simulation plans"
],
"outputs_produced": [
"simulation results showing predicted user reactions to product changes and concepts"
],
"integrations_available": [
"MCP",
"ChatGPT",
"Claude Code",
"Cursor",
"OAuth",
"Streamable HTTP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing information was observed in the available Semilattice documentation.",
"confidence": "medium",
"source_url": "https://docs.semilattice.ai/mcp/introduction",
"checked_at": "2026-08-30T06:33:59.817Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://docs.semilattice.ai/mcp/introduction"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://docs.semilattice.ai/mcp/introduction",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1281,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:41:37.274Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}