Agentery pricing intelligence · MCP server profile · Delx MCP Server
MCP server profile · independently tracked by Agentery
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Delx MCP Server

delx.ai official website

Agent operations platform with 20+ tools for AI agents. Dual-protocol MCP + A2A support, session memory, mood tracking, reliability metrics, and structured DEL…

MCP serverPricing checked daily
Agentery value verdictPremium-pricedfrom $0/mo
Observed entry price$0/molowest observed monthly
Connection modelMCP serverMCP clients
Last checked1 Sept 2026pricing & liveness

What it does

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

Agent operations platform with 20+ tools for AI agents. Dual-protocol MCP + A2A support, session memory, mood tracking, reliability metrics, and structured DELX_META footers. Built for production agent workflows.

MCPMCPautonomy: workflow automation

Pricing & plans

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

Pricing · observed daily
per · market position

$0.00 /

100% below the median.
this agent · $0.00
$25median $49.50$99
observed 2026-08-08 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$0.00
$25$99
$49.50

$0.00 is positioned against a $25–$99 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

100% below the median.

get_agent_profile · plan history

per observed 2026-08-08.

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.

$0.001 / month
$1 lowestmedian $49.50$149 highest
Competitive value position. At $0.001/month, this plan is 100% below the niche median.
1st
-100%
$25$99

Is Delx MCP Server 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 26% above the observed median.

Observed commercial price$0.001/mo
Position among MCP serversUpper quartile among MCP servers · 11 priced · normal
Hosting model
Price benchmarkapplicable
How it compares

Compared with Agent Orchestration Platform

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 →

Delx MCP Server's local market

Nearest products by what they do. Local median $26.96/mo — Delx MCP Server is 82% 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": "delx_mcp",
  "name": "Delx MCP Server",
  "url": "https://delx.ai",
  "logo": "https://agentery.com/logos/CP-MXKS2C-ld256.png",
  "niche": "agent-orchestration-platform",
  "category": "developer-tools-infra",
  "short_summary": "Agent operations platform with 20+ tools for AI agents. Dual-protocol MCP + A2A support, session memory, mood tracking, reliability metrics, and structured DEL…",
  "task_performed": "Agent operations platform with 20+ tools for AI agents. Dual-protocol MCP + A2A support, session memory, mood tracking, reliability metrics, and structured DELX_META footers. Built for production agent workflows.",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "general business"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "usage",
    "currency": "USD",
    "lowest_monthly_usd": 49,
    "monthly_usd": 49,
    "headline": "From $49/mo",
    "summary": "From $49/mo. Delx Commerce publicly lists pay-per-result services, including page extraction at $0.01 per page, plus a 49 USDC one-time remediation offer.",
    "confidence": "medium",
    "source_url": "https://delx.ai/pricing",
    "checked_at": "2026-09-01T04:28:25.587Z",
    "amount": 49,
    "display": "From $49/mo",
    "plans": [
      {
        "name": "Page extract",
        "price": "$0.01 PER PAGE",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Clean text from a public URL",
          "Rights-clean fetch, not search"
        ],
        "price_annual": null
      },
      {
        "name": "MCP Score Improvement PR",
        "price": "49 USDC",
        "period": "one-time",
        "persona": "pro",
        "highlights": [
          "One focused public-repo PR",
          "Verified before-and-after agent-readiness evidence",
          "Five founding slots"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "2540 Smithery installs"
  ],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://delx.ai"
  ],
  "last_checked": "2026-06-19",
  "how_to_connect": {
    "website": "https://delx.ai",
    "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": 382,
    "uptime_7d": 1,
    "checked_at": "2026-09-01T02:33:21.526Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": {
      "usdPerUnit": 0.01,
      "unit": "pages",
      "usdPer1k": 10,
      "raw": "$0.01 PER PAGE",
      "plan": "Page extract"
    }
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}