Agentery pricing intelligence · Agent profile · Phantom Secrets
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Phantom Secrets

phm.dev official website

Local-first secrets manager that provides AI tools with dummy tokens while injecting real API keys at the network layer. Protects credentials when using Claude…

agent frameworkPricing checked daily
Agentery value verdictBelow the niche medianfrom $8/mo
Observed entry price$8/molowest observed monthly
Billing modelunclear
Last checked13 Sept 2026pricing & liveness

What it does

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

Phantom Secrets

Local-first secrets manager that provides AI tools with dummy tokens while injecting real API keys at the network layer. Protects credentials when using Claude…

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

Pricing & plans

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

Pricing · observed daily
Pro · market position

$8 /mo

83.7% below the Pro flat median (9 providers, USD). Cheaper than 15 of 16 comparable Pro providers.
this agent · $8
$30median $49$60
observed 2026-07-10 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$8
$30$60
$49

$8 sits below the observed Pro flat range ($30–$60) — around the 0th percentile of observed prices. It reads as a value play; make sure the margin still works.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

83.7% below the Pro flat median.

get_agent_profile · plan history

Pro observed 2026-07-10.

pricing recommendation

~0th percentile of comparable Pro flat plans.

confidence

medium; 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.

$8 / month
$8 lowestmedian $49$147 highest
Competitive value position. At $8/month, this plan is 83.7% below the niche median.
1st
-83.7%
$30$60

Is Phantom Secrets good value?

How its price compares with genuinely comparable providers.

Below the niche median

Below the niche median for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 77% below the observed median.

Observed commercial price$8/mo
NicheSecurity Scanning Vulnerability
Price benchmarkapplicable
How it compares

Compared with Security Scanning Vulnerability

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 →

Phantom Secrets's local market

Nearest products by what they do.

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": "phantom_secrets",
  "name": "Phantom Secrets",
  "url": "https://phm.dev/",
  "logo": "https://agentery.com/logos/CP-H9RRJK-ld256.png",
  "niche": "security-scanning-vulnerability",
  "category": "developer-tools-infra",
  "short_summary": "Local-first secrets manager that provides AI tools with dummy tokens while injecting real API keys at the network layer. Protects credentials when using Claude…",
  "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": null,
    "monthly_usd": null,
    "headline": "Free tier + paid plans (price not published)",
    "summary": "Phantom offers an MIT-licensed open-source core for $0, while enterprise and government evaluations, integration, and support are scoped and priced by written agreement.",
    "confidence": "high",
    "source_url": "https://phm.dev/pricing",
    "checked_at": "2026-09-12T04:40:38.756Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Open source",
        "price": "$0",
        "period": "month",
        "persona": "free",
        "highlights": [
          "MIT-licensed local-first core",
          "CLI, local vault, proxy, and MCP server",
          "No seat count or local-secret limit",
          "Community support through GitHub"
        ],
        "price_annual": null
      },
      {
        "name": "Enterprise",
        "price": "Scoped",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Evaluation, integration, and support by written agreement",
          "Written pilot scope and acceptance criteria",
          "Architecture and security-boundary review"
        ],
        "price_annual": null
      },
      {
        "name": "Government",
        "price": "Scoped",
        "period": null,
        "persona": "other",
        "highlights": [
          "Public-sector workflow evaluation by written agreement",
          "Bounded technical evaluation",
          "Environment-specific integration and risk review"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [],
  "evidence_quality": "unclear",
  "entity_type": "agent_framework",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://phm.dev/"
  ],
  "last_checked": null,
  "how_to_connect": {
    "website": "https://phm.dev/",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 342,
    "uptime_7d": 1,
    "checked_at": "2026-09-13T02:39:36.653Z",
    "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."
}