Agentery pricing intelligence · Provider profile · XFMS - Xpansion Framework Model Source
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XFMS - Xpansion Framework Model Source logo

XFMS - Xpansion Framework Model Source

xpansion.dev/xfms official website

recommends the optimal LLM model for specific tasks based on quality, cost, latency, and capability requirements

toolPricing checked daily
Agentery value verdictBelow the niche medianfrom $15/mo
Observed entry price$15/molowest observed monthly
Billing modelfree
Last checked28 Jul 2026pricing & liveness

What it does

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

XFMS - Xpansion Framework Model Source

recommends the optimal LLM model for specific tasks based on quality, cost, latency, and capability requirements

task descriptions, capability requirements, quality/cost/latency preferences, MCP calls → ranked model recommendations with plain-English rationale, scores, weights, coverage gaps, optional A/B test results
MCPClaude CodeCursorContinueClineClaude DesktopGitHubMCPautonomy: assistant

Official XFMS - Xpansion Framework Model Source links

Pricing & plans

Observed public pricing for XFMS - Xpansion Framework Model Source, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Unspecified offer · market position

$15 /mo

73.7% below the Pro flat median (3 providers, USD). Cheaper than 7 of 7 comparable Pro providers.
this agent · $15
$29median $57$114
observed 2026-07-26 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$15
$29$114
$57

$15 sits below the observed Pro flat range ($48.45–$65.55) — around the 25th 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

73.7% below the Pro flat median.

get_agent_profile · plan history

Unspecified offer observed 2026-07-26.

pricing recommendation

~25th percentile of comparable Pro flat plans.

confidence

thin (thin cohort); 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.

$15 / month
$15 lowestmedian $57$171 highest
Competitive value position. At $15/month, this plan is 73.7% below the niche median.
1st
-73.7%
$29$114

Is XFMS - Xpansion Framework Model Source 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 70% below the observed median.

Observed commercial price$15/mo
NicheLLM Serving Infrastructure
Price benchmarkapplicable
How it compares

Compared with LLM Serving Infrastructure

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 LLM Serving Infrastructure

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": "xfms",
  "name": "XFMS - Xpansion Framework Model Source",
  "url": "https://xpansion.dev/xfms",
  "logo": "https://agentery.com/logos/CP-EV9CYV.svg",
  "niche": "llm-serving-infrastructure",
  "category": "developer-tools-infra",
  "short_summary": "recommends the optimal LLM model for specific tasks based on quality, cost, latency, and capability requirements",
  "task_performed": "recommends the optimal LLM model for specific tasks based on quality, cost, latency, and capability requirements",
  "inputs_accepted": [
    "task descriptions",
    "capability requirements",
    "quality/cost/latency preferences",
    "MCP calls"
  ],
  "outputs_produced": [
    "ranked model recommendations with plain-English rationale",
    "scores",
    "weights",
    "coverage gaps",
    "optional A/B test results"
  ],
  "integrations_available": [
    "MCP",
    "Claude Code",
    "Cursor",
    "Continue",
    "Cline",
    "Claude Desktop",
    "GitHub"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "assistant",
  "human_approval_needed": "unclear",
  "pricing_model": "free",
  "price": {
    "observed": false,
    "billing": "unknown",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "The homepage exposes three USD offer amounts but does not identify their plan names, billing periods, or whether the small displayed dollar figures are subscription prices.",
    "confidence": "low",
    "source_url": "https://xpansion.dev/xfms",
    "checked_at": "2026-07-26T09:31:00.834Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "8 independent third-party evaluators",
    "continuous catalog updates",
    "GitHub integration"
  ],
  "evidence_quality": "high",
  "entity_type": "tool",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://xpansion.dev/xfms"
  ],
  "last_checked": "2026-06-19",
  "how_to_connect": {
    "website": "https://xpansion.dev/xfms",
    "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": 754,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:39:44.224Z",
    "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."
}