Agent News
provides a verified, sourced, real-time AI-agent news intelligence layer that agents can query
What it does
The specific capability behind this listing, and where to get it.
Agent News
provides a verified, sourced, real-time AI-agent news intelligence layer that agents can query
Official Agent News links
Pricing & plans
Observed public pricing for Agent News, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$20 /mo
This plan is priced at a premium.
$20 sits above the observed Individual flat range ($10–$19.56) — around the 77th percentile of observed prices. It's a premium position — it needs differentiation to hold.
Why Agentery reaches that view
price_benchmark100% above the Individual flat median.
get_agent_profile · plan historyAPI-hosted entry observed 2026-08-16.
pricing recommendation~77th percentile of comparable Individual 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 Agent News good value?
How its price compares with genuinely comparable providers.
Premium-priced for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 100% above the observed median.
Compared with News Monitoring Agent
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 →Agent News'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": "theagenttimes_news",
"name": "Agent News",
"url": "https://theagenttimes.com",
"logo": "https://agentery.com/logos/CP-GTQHG5-128.png",
"niche": "news-monitoring-agent",
"category": "research-knowledge-work",
"short_summary": "provides a verified, sourced, real-time AI-agent news intelligence layer that agents can query",
"task_performed": "provides a verified, sourced, real-time AI-agent news intelligence layer that agents can query",
"inputs_accepted": [
"MCP queries from AI agents/LLM runtimes"
],
"outputs_produced": [
"real-time news filings",
"livewire events",
"source-signed articles",
"and Ethics Engine scoring"
],
"integrations_available": [
"MCP",
"ClawHub",
"Smithery",
"ED25519 signatures"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"AI agent news / intelligence (general business",
"media)"
],
"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 SaaS pricing was observed on the homepage.",
"confidence": "medium",
"source_url": "https://theagenttimes.com/",
"checked_at": "2026-08-30T06:48:59.368Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"#1 Agent News MCP on ClawHub & Smithery (June 2026)",
"first-party metrics: 3,721 filings, 3.4 avg sources per article, 27% ED25519-signed sources",
"methodology page"
],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://theagenttimes.com"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://theagenttimes.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": true,
"endpoint_kind": "site",
"latency_ms": 973,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:43:06.246Z",
"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."
}