Agentery pricing intelligence · Agent profile · Caffeinated Wardrobe
Agent profile · independently tracked by Agentery
Caffeinated Wardrobe logo

Caffeinated Wardrobe

caffeinatedwardrobe.com official website

programmatic wardrobe management with outfit suggestions and wear pattern analysis

agentPricing checked daily
Agentery price verdictInsufficient peerscannot benchmark yet
Observed entry price$4.17/molowest observed monthly
Billing modelpaid plans
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Caffeinated Wardrobe

programmatic wardrobe management with outfit suggestions and wear pattern analysis

purchase histories from stores, calendar data, weather data, MCP protocol calls → outfit suggestions, wardrobe tracking, wear pattern analysis, styling recommendations
MCPMCPautonomy: assistant

Pricing & plans

Observed public pricing for Caffeinated Wardrobe, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Bring Your Own AI · market position

$4.17 /mo

Comparison withheld — no comparable Individual flat cohort in ai-personal-stylist. We don't compare a flat plan against a different billing unit.
this agent · $4.17
$8median $89
observed 2026-07-28 · rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the market.

pricing recommendation
$4.17
$8$89

Comparison withheld: no comparable Individual flat cohort in ai-personal-stylist. A flat plan is only benchmarked against flat peers in the same niche.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

Comparison withheld — no matching-unit cohort.

get_agent_profile · plan history

Bring Your Own AI observed 2026-07-28.

pricing recommendation

Withheld — unit mismatch.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$4.17 / month
$4.17 lowestmedian $89 highest
Not comparable This plan's basis isn't monthly-comparable.
$8$89

Is Caffeinated Wardrobe good value?

How its price compares with genuinely comparable providers.

Not enough peers

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.

Observed commercial price$4.17/mo
NicheAI Personal Stylist
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.

View the full niche →

Comparable AI Personal Stylist

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "caffeinated_wardrobe",
  "name": "Caffeinated Wardrobe",
  "url": "https://caffeinatedwardrobe.com",
  "logo": "https://agentery.com/logos/CP-VJTRMQ.svg",
  "niche": "ai-personal-stylist",
  "category": "consumer-personal",
  "short_summary": "programmatic wardrobe management with outfit suggestions and wear pattern analysis",
  "task_performed": "programmatic wardrobe management with outfit suggestions and wear pattern analysis",
  "inputs_accepted": [
    "purchase histories from stores",
    "calendar data",
    "weather data",
    "MCP protocol calls"
  ],
  "outputs_produced": [
    "outfit suggestions",
    "wardrobe tracking",
    "wear pattern analysis",
    "styling recommendations"
  ],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "general business"
  ],
  "autonomy_level": "assistant",
  "human_approval_needed": "unclear",
  "pricing_model": "paid plans",
  "price": {
    "observed": true,
    "billing": "subscription",
    "currency": "USD",
    "lowest_monthly_usd": 4.17,
    "monthly_usd": 4.17,
    "headline": "From $4.17/mo",
    "summary": "From $4.17/mo. Caffeinated Wardrobe lists a Bring Your Own AI plan at $50/year and an AI Included plan at $95/year, with the latter not yet launched.",
    "confidence": "high",
    "source_url": "https://caffeinatedwardrobe.com/ai-included",
    "checked_at": "2026-07-28T05:25:11.041Z",
    "amount": 4.17,
    "display": "From $4.17/mo",
    "plans": [
      {
        "name": "Bring Your Own AI",
        "price": "$50/year",
        "period": "year",
        "persona": "individual",
        "highlights": [
          "MCP integration",
          "Wardrobe import",
          "7-day free trial"
        ],
        "price_annual": null
      },
      {
        "name": "AI Included",
        "price": "$95/year",
        "period": "year",
        "persona": "individual",
        "highlights": [
          "Built-in AI",
          "Smart daily notifications",
          "Planned launch with waitlist"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "medium",
  "entity_type": "agent",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://caffeinatedwardrobe.com"
  ],
  "last_checked": "2026-06-19",
  "how_to_connect": {
    "website": "https://caffeinatedwardrobe.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": 185,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:31:49.820Z",
    "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."
}