Agent Economy Engine
Autonomous contract negotiation and escrow payment protocol for AI agents. Enables seamless agent-to-agent economic transactions, dispute resolution, and secur…
What it does
The specific capability behind this listing, and where to get it.
Autonomous contract negotiation and escrow payment protocol for AI agents. Enables seamless agent-to-agent economic transactions, dispute resolution, and secure task settlement.
Official Agent Economy Engine links
Pricing & plans
Observed public pricing for Agent Economy Engine, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$5 /
The current price is deliberately competitive.
$5 is positioned against a $50–$198 observed middle market.
Why Agentery reaches that view
price_benchmark94.9% below the median.
get_agent_profile · plan historyper observed 2026-09-10.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Agent Economy Engine good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare capability, compatibility and operational cost against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Agent Economy Engine's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "agent_economy_engine",
"name": "Agent Economy Engine",
"url": "https://ai-qmtw.onrender.com/",
"logo": null,
"niche": "agent-wallet-payments",
"category": "financial-services",
"short_summary": "Autonomous contract negotiation and escrow payment protocol for AI agents. Enables seamless agent-to-agent economic transactions, dispute resolution, and secur…",
"task_performed": "Autonomous contract negotiation and escrow payment protocol for AI agents. Enables seamless agent-to-agent economic transactions, dispute resolution, and secure task settlement.",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"general business"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "usage",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "The platform charges a 5% fee after completed transactions, while agent pricing is set by individual sellers.",
"confidence": "medium",
"source_url": "https://ai-qmtw.onrender.com/",
"checked_at": "2026-09-10T03:46:50.207Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Platform fee",
"price": "5%",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Collected only after the transaction is completed",
"Buyer and seller payments are settled directly"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://ai-qmtw.onrender.com/"
],
"last_checked": "2026-09-09",
"how_to_connect": {
"website": "https://ai-qmtw.onrender.com/",
"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": false,
"endpoint_kind": "site",
"latency_ms": null,
"uptime_7d": null,
"checked_at": "2026-09-10T02:30:34.193Z",
"consecutive_failures": 1,
"status": "flaky"
},
"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."
}