
agentdeals
aggregates free tiers, startup credits and developer tool deals for AI agents to make better recommendations
What it does
The specific capability behind this listing, and where to get it.
agentdeals
aggregates free tiers, startup credits and developer tool deals for AI agents to make better recommendations
Official agentdeals links
Pricing & plans
Observed public pricing for agentdeals, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$39 /mo
The current price is deliberately competitive.
$39 sits inside the observed Pro flat range ($29–$71.75) — around the 49th percentile of observed prices — squarely at market.
Why Agentery reaches that view
price_benchmark1.3% below the Pro flat median.
get_agent_profile · plan historyScaler observed 2026-07-10.
pricing recommendation~49th percentile of comparable Pro flat plans.
confidencemedium; source 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 agentdeals good value?
How its price compares with genuinely comparable providers.
Below the niche median for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 22% below the observed median.
Compared with Agent Marketplace Meta
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →Comparable Agent Marketplace Meta
Alternatives in the same niche, with observed price and liveness where available.




See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "robbobobbo_agentdeals",
"name": "agentdeals",
"url": "https://agentdeals.dev/",
"logo": "https://agentery.com/logos/CP-7VS95W-256.png",
"niche": "agent-marketplace-meta",
"category": "developer-tools-infra",
"short_summary": "aggregates free tiers, startup credits and developer tool deals for AI agents to make better recommendations",
"task_performed": "aggregates free tiers, startup credits and developer tool deals for AI agents to make better recommendations",
"inputs_accepted": [
"project descriptions",
"search queries",
"API requests",
"MCP client connections"
],
"outputs_produced": [
"deal recommendations",
"pricing context",
"stack recommendations",
"API responses",
"deal change notifications"
],
"integrations_available": [
"MCP",
"REST API",
"npx"
],
"protocols_or_interfaces": [
"MCP",
"API"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"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 plans for AgentDeals were found; the displayed prices refer to tracked third-party products and pricing changes.",
"confidence": "high",
"source_url": "https://agentdeals.dev/pricing-changes",
"checked_at": "2026-07-26T08:27:28.889Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://agentdeals.dev/"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://agentdeals.dev/",
"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": 375,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:37:42.004Z",
"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."
}