
Agent Reach
Gives AI agents internet-reading capability by selecting, installing and routing the best backends to read and search the web, Twitter, Reddit, YouTube, GitHub…
What it does
The specific capability behind this listing, and where to get it.
Gives AI agents internet-reading capability by selecting, installing and routing the best backends to read and search the web, Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, LinkedIn, RSS, V2EX, Xueqiu and podcasts
Official Agent Reach links
Pricing & plans
Observed public pricing for Agent Reach, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$4 /mo
The current price sits below the comparable median.
$4 sits below the observed Team flat range ($149–$299) — around the 0th percentile of observed prices. It reads as a value play; make sure the margin still works.
Why Agentery reaches that view
price_benchmark97.5% below the Team flat median.
get_provider_profile · plan historyTeam observed 2026-07-10.
pricing recommendation~0th percentile of comparable Team flat plans (approximate: interpolated between the cohort’s observed quartiles, 16 providers).
confidencehigh; 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 Reach good value?
How its price compares with genuinely comparable providers.
Below the comparable median for its buyer tier.
Basis: Team flat plans at the same billing unit (16 providers), USD monthly, pricing observed 2026-07-10. The Team plan ($4/mo) sits 97.5% below that median of $162.5. Other cohorts on this page (niche-wide tier peers, nearest products by capability) are labelled where they appear.
Compared with Agent Marketplace Meta
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit (the basis is stated with each verdict above). See the plans above for the percentile and its cohort size, and the full niche market for peers.
View the full niche →Agent Reach's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
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": "agent_reach",
"name": "Agent Reach",
"url": "https://github.com/Panniantong/Agent-Reach",
"logo": "https://agentery.com/logos/CP-M7ZRA2-256.png",
"niche": "agent-marketplace-meta",
"category": "developer-tools-infra",
"short_summary": "Gives AI agents internet-reading capability by selecting, installing and routing the best backends to read and search the web, Twitter, Reddit, YouTube, GitHub…",
"task_performed": "Gives AI agents internet-reading capability by selecting, installing and routing the best backends to read and search the web, Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu, LinkedIn, RSS, V2EX, Xueqiu and podcasts",
"inputs_accepted": [
"CLI commands",
"URLs",
"search queries",
"RSS feeds",
"cookies/tokens for authenticated platforms"
],
"outputs_produced": [
"web page content",
"video subtitles/transcripts",
"search results",
"posts and comments",
"repo info",
"RSS updates",
"stock quotes"
],
"integrations_available": [
"Claude Code",
"OpenClaw",
"Cursor",
"Windsurf",
"MCP",
"Jina Reader",
"yt-dlp",
"bili-cli",
"gh CLI",
"Exa",
"feedparser",
"twitter-cli",
"OpenCLI",
"rdt-cli",
"xiaohongshu-mcp",
"linkedin-mcp",
"mcporter",
"Whisper",
"Groq",
"OpenAI",
"BrowserAct"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools / AI agent infrastructure"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "sometimes required",
"pricing_model": "free",
"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 paid plans were observed in the available homepage content.",
"confidence": "medium",
"source_url": "https://github.com/Panniantong/Agent-Reach",
"checked_at": "2026-10-24T01:06:05.877Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"GitHub 31.7k stars",
"MIT license",
"SECURITY.md",
"open source / auditable code",
"Trendshift badge"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/Panniantong/Agent-Reach"
],
"last_checked": "2026-10-24",
"profile_checked": "2026-06-16",
"price_checked": "2026-10-24",
"how_to_connect": {
"website": "https://github.com/Panniantong/Agent-Reach",
"docs": "https://github.com/documentation",
"mcp": {
"endpoint": "https://github.com/mcp.json",
"transport": "http",
"config_snippet": "{\n \"mcpServers\": {\n \"agent_reach\": {\n \"url\": \"https://github.com/mcp.json\"\n }\n }\n}"
},
"a2a": null,
"api": {
"docs_url": "https://github.com/developer",
"endpoint": null
},
"protocols": [],
"install": null,
"repository": null
},
"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": 85,
"uptime_7d": 1,
"checked_at": "2026-10-26T02:30:53.349Z",
"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."
}