Agentery pricing intelligence · Agent profile · Mirrors
Agent profile · independently tracked by Agentery
Mirrors logo

Mirrors

runmirrors.com official website

Testing platform that creates isolated, runnable copies of AI agent production environments from traces. Enables safe testing of agent changes against determin…

agent platformPricing checked daily
Agentery value verdictPremium-pricedfrom $0.2/mo
Observed entry price$0.2/molowest observed monthly
Billing modelunclear
Last checked1 Sept 2026pricing & liveness

What it does

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

Mirrors

Testing platform that creates isolated, runnable copies of AI agent production environments from traces. Enables safe testing of agent changes against determin…

Agentery has not yet captured structured capability detail for this provider.

Pricing & plans

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

Pricing · observed daily
per · market position

$0.20 /

99.6% below the median.
this agent · $0.20
$25median $50$100
observed 2026-08-11 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$0.20
$25$100
$50

$0.20 is positioned against a $25–$100 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

99.6% below the median.

get_agent_profile · plan history

per observed 2026-08-11.

pricing recommendation

Percentile unavailable for this basis.

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.

$0.2 / month
$1 lowestmedian $50$150 highest
Competitive value position. At $0.2/month, this plan is 99.6% below the niche median.
1st
-99.6%
$25$100

Is Mirrors good value?

How its price compares with genuinely comparable providers.

Premium-priced

Premium-priced for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 6125% above the observed median.

Observed commercial price$0.2/mo
Position among agent-economy servicesUpper quartile among Agent-economy services · 36 priced · normal
NicheAgent Observability Eval
Price benchmarkapplicable
How it compares

Compared with Agent Observability Eval

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 →

Mirrors's local market

Nearest products by what they do. Local median $19.99/mo — Mirrors is 2396% above it.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "mirrors",
  "name": "Mirrors",
  "url": "https://runmirrors.com/",
  "logo": "https://agentery.com/logos/CP-D83J97-256.png",
  "niche": "agent-observability-eval",
  "category": "developer-tools-infra",
  "short_summary": "Testing platform that creates isolated, runnable copies of AI agent production environments from traces. Enables safe testing of agent changes against determin…",
  "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": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": 499,
    "monthly_usd": 499,
    "headline": "Free tier, then from $499/mo",
    "summary": "Free tier, then from $499/mo. RunMirrors offers a free tier with 60 replay minutes per month, a $499/month Startup plan with 2,000 included minutes, usage charges thereafter, and custom Enterprise pricing.",
    "confidence": "high",
    "source_url": "https://www.runmirrors.com/pricing",
    "checked_at": "2026-09-01T04:52:11.370Z",
    "amount": 499,
    "display": "From $499/mo",
    "plans": [
      {
        "name": "Free",
        "price": "$0 /mo",
        "period": "month",
        "persona": "free",
        "highlights": [
          "60 replay minutes per month included",
          "$0.20 per replay-minute after the included allowance",
          "Unlimited environments",
          "CI gate and public /v1 API",
          "No commitment"
        ],
        "price_annual": null
      },
      {
        "name": "Startup",
        "price": "$499 /mo",
        "period": "month",
        "persona": "team_sme",
        "highlights": [
          "2,000 replay minutes per month included",
          "$0.15 per replay-minute after the included allowance",
          "Unlimited environments",
          "CI gate and public /v1 API",
          "Priority support"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise",
        "price": "Custom pricing",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Volume pricing",
          "SSO and role controls",
          "Security review",
          "On-prem / BYOC available"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "agent_platform",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://runmirrors.com/"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://runmirrors.com/",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 925,
    "uptime_7d": 1,
    "checked_at": "2026-09-01T02:37:26.536Z",
    "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."
}