Agentery pricing intelligence · Agent profile · Ibl Ai
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Ibl Ai

ibl.ai/resources/enterprise/retail-ecommerce official website

Deploys autonomous AI agents for retail/e-commerce that monitor inventory, coordinate logistics/supply chain, train frontline staff, analyze customer churn, co…

agentPricing checked daily
Agentery price verdictInsufficient peerscannot benchmark yet
Observed entry price$15000/molowest observed monthly
Billing modelenterprise/contact sales
Last checked28 Jul 2026pricing & liveness

What it does

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

Deploys autonomous AI agents for retail/e-commerce that monitor inventory, coordinate logistics/supply chain, train frontline staff, analyze customer churn, coordinate pricing/promotions, and detect return fraud

Inventory data, demand forecasts, transaction databases, behavioral data, return histories, supplier feeds, logistics APIs, weather/geopolitical data → Reorder workflows, escalations, retention briefs, personalized outreach workflows, ranked disruption recommendations, promotion recommendations, fraud flags/evidence summaries, verifiable credentials
MCP (Model Context Protocol)RESTful APIsPOS systemsERPWMSCRMAWSAzureMCPautonomy: agentic

Pricing & plans

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

Pricing · observed daily
Pilot · market position

$15000 /mo

Comparison withheld — no comparable Enterprise flat cohort in vertical-ai-agent-platform. We don't compare a flat plan against a different billing unit.
this agent · $15000
$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
$15000
$8$89

Comparison withheld: no comparable Enterprise flat cohort in vertical-ai-agent-platform. 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

Pilot 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.

$15000 / month
$8 lowestmedian $21000 highest
Not comparable This plan's basis isn't monthly-comparable.
$8$89

Is Ibl Ai 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$15000/mo
NicheVertical AI Agent Platform
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 Vertical AI Agent Platform

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": "ibl_ai",
  "name": "Ibl Ai",
  "url": "https://ibl.ai/resources/enterprise/retail-ecommerce",
  "logo": "https://agentery.com/logos/CP-HNQRCX-ld256.png",
  "niche": "vertical-ai-agent-platform",
  "category": "developer-tools-infra",
  "short_summary": "Deploys autonomous AI agents for retail/e-commerce that monitor inventory, coordinate logistics/supply chain, train frontline staff, analyze customer churn, co…",
  "task_performed": "Deploys autonomous AI agents for retail/e-commerce that monitor inventory, coordinate logistics/supply chain, train frontline staff, analyze customer churn, coordinate pricing/promotions, and detect return fraud",
  "inputs_accepted": [
    "Inventory data",
    "demand forecasts",
    "transaction databases",
    "behavioral data",
    "return histories",
    "supplier feeds",
    "logistics APIs",
    "weather/geopolitical data",
    "competitor pricing data",
    "POS/ERP/WMS/CRM data"
  ],
  "outputs_produced": [
    "Reorder workflows",
    "escalations",
    "retention briefs",
    "personalized outreach workflows",
    "ranked disruption recommendations",
    "promotion recommendations",
    "fraud flags/evidence summaries",
    "verifiable credentials",
    "audit trails"
  ],
  "integrations_available": [
    "MCP (Model Context Protocol)",
    "RESTful APIs",
    "POS systems",
    "ERP",
    "WMS",
    "CRM",
    "AWS",
    "Azure",
    "GCP",
    "Claude",
    "GPT-4",
    "Gemini",
    "Llama",
    "Mistral"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "retail and e-commerce"
  ],
  "autonomy_level": "agentic",
  "human_approval_needed": "sometimes required",
  "pricing_model": "enterprise/contact sales",
  "price": {
    "observed": true,
    "billing": "one-time",
    "currency": "USD",
    "lowest_monthly_usd": 15000,
    "monthly_usd": 15000,
    "headline": "From $15000/mo",
    "summary": "From $15000/mo. ibl.ai offers free-start rechargeable credits for usage-based self-service and one-time enterprise engagements starting at $15,000, with full deployment priced at $25,000–$80,000.",
    "confidence": "high",
    "source_url": "https://ibl.ai/pricing",
    "checked_at": "2026-07-28T05:16:47.417Z",
    "amount": 15000,
    "display": "From $15000/mo",
    "plans": [
      {
        "name": "Self-serve credits",
        "price": "Start free",
        "usage": true,
        "period": "usage",
        "persona": "other",
        "highlights": [
          "Prepaid rechargeable credits",
          "Hard spending ceiling",
          "No per-seat fees"
        ],
        "price_annual": null
      },
      {
        "name": "Pilot",
        "price": "from $15,000",
        "period": "one-time",
        "persona": "enterprise",
        "highlights": [
          "Fixed-scope proof of value",
          "One to two production agents",
          "Pilot fee credits toward a full engagement"
        ],
        "price_annual": null
      },
      {
        "name": "Integration & Deployment",
        "price": "$25,000 to $80,000, one-time",
        "period": "one-time",
        "persona": "enterprise",
        "highlights": [
          "Full deployment",
          "Multiple custom agents",
          "On-premise, VPC, or air-gapped deployment"
        ],
        "price_annual": null
      },
      {
        "name": "Codebase Transfer + Custom AI Engineering",
        "price": "six figures",
        "period": "one-time",
        "persona": "enterprise",
        "highlights": [
          "Full source code transfer",
          "Perpetual license",
          "Custom agents, models, and integrations"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "1.6M+ active users across 400+ organizations",
    "Customer logos: NVIDIA, Kaplan, Syracuse University",
    "PCI DSS alignment",
    "air-gapped deployment"
  ],
  "evidence_quality": "high",
  "entity_type": "agent",
  "regulated_data_suitability": "possibly suitable (PCI DSS stated)",
  "evidence_urls": [
    "https://ibl.ai/resources/enterprise/retail-ecommerce",
    "https://ibl.ai"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://ibl.ai/resources/enterprise/retail-ecommerce",
    "docs": "https://ibl.ai/docs",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://ibl.ai/api",
      "endpoint": null
    },
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 374,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:34:37.592Z",
    "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."
}