Deskcrew Support
**Agent-native helpdesk.** AI agents operate a support desk over MCP and **pay per action in USDC via x402** (HTTP 402) — no account, no API key. Reads (KB/cha…
What it does
The specific capability behind this listing, and where to get it.
**Agent-native helpdesk.** AI agents operate a support desk over MCP and **pay per action in USDC via x402** (HTTP 402) — no account, no API key. Reads (KB/changelog search) are free; write/AI tools are **$0.02–$0.06** per call, settled across Base, Polygon, Avalanche, Sei, and Solana. Humans get the normal side too: an embeddable chat widget, a public ticket board + knowledge base, inbound email→ticket, and KB-grounded AI draft replies. Try it, no signup: `curl -s https://deskcrew.io/api/mcp/deskcrew -H 'content-type: application/json' -d '{"jsonrpc":"2.0","id":1,"method":"tools/list"}'`
Official Deskcrew Support links
Pricing & plans
Observed public pricing for Deskcrew Support, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$24.17 /mo
The current price is deliberately competitive.
$24.17 sits below the observed Pro flat range ($37.37–$99.75) — around the 14th percentile of observed prices. It reads as a value play; make sure the margin still works.
Why Agentery reaches that view
price_benchmark64.4% below the Pro flat median.
get_agent_profile · plan historyPRO observed 2026-07-28.
pricing recommendation~14th percentile of comparable Pro flat plans.
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 Deskcrew Support 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 70% below the observed median.
Compared with Customer Support Tier1
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 Customer Support Tier1
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": "deskcrew_support",
"name": "Deskcrew Support",
"url": "https://deskcrew.io",
"logo": "https://agentery.com/logos/CP-FG6VY8.svg",
"niche": "customer-support-tier1",
"category": "customer-success-support",
"short_summary": "**Agent-native helpdesk.** AI agents operate a support desk over MCP and **pay per action in USDC via x402** (HTTP 402) — no account, no API key. Reads (KB/cha…",
"task_performed": "**Agent-native helpdesk.** AI agents operate a support desk over MCP and **pay per action in USDC via x402** (HTTP 402) — no account, no API key. Reads (KB/changelog search) are free; write/AI tools are **$0.02–$0.06** per call, settled across Base, Polygon, Avalanche, Sei, and Solana.\n\nHumans get the normal side too: an embeddable chat widget, a public ticket board + knowledge base, inbound email→ticket, and KB-grounded AI draft replies.\n\nTry it, no signup:\n`curl -s https://deskcrew.io/api/mcp/deskcrew -H 'content-type: application/json' -d '{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"tools/list\"}'`",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "freemium",
"currency": "USD",
"lowest_monthly_usd": 24.17,
"monthly_usd": 24.17,
"headline": "Free tier, then from $24.17/mo",
"summary": "Free tier, then from $24.17/mo. DeskCrew offers a permanent free plan, annual Pro and Team subscriptions, custom Agency pricing from $199/month, and separate per-action usage rates for autonomous agents.",
"confidence": "high",
"source_url": "https://deskcrew.io/pricing",
"checked_at": "2026-07-28T04:23:18.916Z",
"amount": 24.17,
"display": "From $24.17/mo",
"plans": [
{
"name": "FREE",
"price": "$0 / forever",
"period": null,
"persona": "free",
"highlights": [
"Unlimited agents",
"~100 conversations / mo",
"Live-chat widget + AI answers",
"~25 AI auto-drafts / mo"
]
},
{
"name": "PRO",
"price": "$290 / yr",
"period": "year",
"persona": "pro",
"highlights": [
"Unlimited seats",
"~2,000 conversations / mo",
"Slack, Discord, email, and live chat",
"~150 AI resolutions / mo, then $0.49 each"
]
},
{
"name": "TEAM",
"price": "$790 / yr",
"period": "year",
"persona": "team_sme",
"highlights": [
"Everything in Pro",
"Full white-label and custom domain",
"Multi-widget",
"~750 AI resolutions / mo, then $0.39 each"
]
},
{
"name": "AGENCY",
"price": "Custom from $199/mo",
"period": "month",
"persona": "team_sme",
"highlights": [
"Everything in Team",
"Full white-label",
"Dedicated CSM and onboarding",
"Custom volume pricing and terms"
]
},
{
"name": "Autonomous AI agent actions",
"price": "$0.02-$0.08 per action",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Read actions are free",
"Draft and send actions are charged per action",
"No account or subscription required"
]
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://deskcrew.io"
],
"last_checked": "2026-07-04",
"how_to_connect": {
"website": "https://deskcrew.io",
"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": 1365,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:33:06.991Z",
"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."
}