Agentery pricing intelligence · Provider profile · Applied AI Studio
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Applied AI Studio

studio.appliedai.club/finance official website

Builds custom AI systems for finance teams that extract, compare, and flag issues for invoice matching, fraud/duplicate detection, revenue recognition (ASC 606…

service
Agentery price verdictNo pricing observed
Billing model
Last checked28 Jul 2026pricing & liveness

What it does

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

Builds custom AI systems for finance teams that extract, compare, and flag issues for invoice matching, fraud/duplicate detection, revenue recognition (ASC 606), cash application, vendor contract intelligence, and expense compliance

Invoices in PDF, email, EDI formats, contracts, POs, remittance formats, receipts, historical rates → Extracted fields, flagged issues (rate mismatches, duplicates, term mismatches), highlights for human review, audit-ready journal entries, renewal/negotiation reports
ERPautonomy: assistant
Price status · observed daily

No public commercial pricing observed.

No price does not imply the product is free. Any code-host platform pricing is excluded.

Is Applied AI Studio good value?

Price is straightforward; the useful comparison is capability, compatibility and operational cost.

No price benchmark

No public commercial pricing observed.

Agentery has not observed a public price for this provider. No price does not mean free.

Observed commercial pricenone
NicheAccounts Payable Automation
Price benchmarknot applicable
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See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "appliedai_studio",
  "name": "Applied AI Studio",
  "url": "https://studio.appliedai.club/finance",
  "logo": "https://agentery.com/logos/CP-HXGJYR.png",
  "niche": "accounts-payable-automation",
  "category": "finance-ops",
  "short_summary": "Builds custom AI systems for finance teams that extract, compare, and flag issues for invoice matching, fraud/duplicate detection, revenue recognition (ASC 606…",
  "task_performed": "Builds custom AI systems for finance teams that extract, compare, and flag issues for invoice matching, fraud/duplicate detection, revenue recognition (ASC 606), cash application, vendor contract intelligence, and expense compliance",
  "inputs_accepted": [
    "Invoices in PDF",
    "email",
    "EDI formats",
    "contracts",
    "POs",
    "remittance formats",
    "receipts",
    "historical rates"
  ],
  "outputs_produced": [
    "Extracted fields",
    "flagged issues (rate mismatches",
    "duplicates",
    "term mismatches)",
    "highlights for human review",
    "audit-ready journal entries",
    "renewal/negotiation reports"
  ],
  "integrations_available": [
    "ERP"
  ],
  "protocols_or_interfaces": [],
  "industry_fit": [
    "finance"
  ],
  "autonomy_level": "assistant",
  "human_approval_needed": "always required",
  "pricing_model": "enterprise/contact sales",
  "price": {
    "observed": false,
    "billing": "not_found",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "high",
    "source_url": "https://studio.appliedai.club/finance",
    "checked_at": "2026-07-26T06:47:02.222Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "Fortune 500 manufacturer case study",
    "mid-market technology company case study",
    "stated results (99.2% extraction accuracy, $2.1M first year savings)"
  ],
  "evidence_quality": "medium",
  "entity_type": "service",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://studio.appliedai.club/finance"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://studio.appliedai.club/finance",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": []
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 442,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:31:05.419Z",
    "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."
}