Uwear
AI fashion production platform with an MCP server for turning briefs into reusable workflows covering art direction, image generation and edits, automatic QA,…
What it does
The specific capability behind this listing, and where to get it.
Uwear
AI fashion production platform with an MCP server for turning briefs into reusable workflows covering art direction, image generation and edits, automatic QA,…
Agentery has not yet captured structured capability detail for this provider.
Official Uwear links
Pricing & plans
Observed public pricing for Uwear, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.10 /credit
This plan sits close to the market.
No monthly-comparable cohort to benchmark this plan against yet.
Why Agentery reaches that view
price_benchmarkNot monthly-comparable.
get_agent_profile · plan historyper credit observed 2026-09-02.
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 Uwear 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 language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
Uwear'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": "uwear",
"name": "Uwear",
"url": "https://uwear.ai/mcp",
"logo": "https://www.google.com/s2/favicons?domain=uwear.ai&sz=128",
"niche": null,
"category": null,
"short_summary": "AI fashion production platform with an MCP server for turning briefs into reusable workflows covering art direction, image generation and edits, automatic QA,…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"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": "Uwear charges $0.10 per credit with no subscriptions or seat fees, while enterprise volume pricing is custom.",
"confidence": "high",
"source_url": "https://uwear.ai/pricing",
"checked_at": "2026-09-02T05:23:57.738Z",
"amount": null,
"display": null,
"plans": [
{
"name": "Pay as you go",
"price": "$0.10 per credit",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Credits never expire",
"No subscriptions or seat fees",
"Works across Studio, Agent, API, and MCP",
"Start with as little as $17 of credits"
],
"price_annual": null
},
{
"name": "Enterprise",
"price": "Custom",
"period": null,
"persona": "enterprise",
"highlights": [
"Volume pricing or platform fee",
"Invoice billing and unified team workspace",
"Implementation and pilot support",
"Custom QA criteria"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://uwear.ai/mcp"
],
"last_checked": null,
"how_to_connect": {
"website": "https://uwear.ai/mcp",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 1583,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:43:50.942Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": {
"usdPerUnit": 0.1,
"unit": "credits",
"usdPer1k": 100,
"raw": "$0.10 per credit",
"plan": "Pay as you go"
}
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}