
Ai Agent Workflows
Runs department-specific AI agent workflows that generate manufacturing and supply chain intelligence (procurement, quality, IoT, sustainability, R&D) using a…
What it does
The specific capability behind this listing, and where to get it.
Runs department-specific AI agent workflows that generate manufacturing and supply chain intelligence (procurement, quality, IoT, sustainability, R&D) using a 102M domain categorization/enrichment database
Official Ai Agent Workflows links
Pricing & plans
Observed public pricing for Ai Agent Workflows, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$99 /mo
The current price is deliberately competitive.
$99 sits below the observed Pro flat range ($190.83–$258.17) — around the 25th percentile of observed prices. It reads as a value play; make sure the margin still works.
Why Agentery reaches that view
price_benchmark55.9% below the Pro flat median.
get_agent_profile · plan historyPro Plan observed 2026-09-02.
pricing recommendation~25th percentile of comparable Pro flat plans.
confidencethin (thin cohort); source page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Ai Agent Workflows good value?
How its price compares with genuinely comparable providers.
Priced near the market for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.
Compared with Vertical AI Agent 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 →Ai Agent Workflows's local market
Nearest products by what they do. Local median $20/mo — Ai Agent Workflows is 395% above it.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
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"name": "Ai Agent Workflows",
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"logo": "https://agentery.com/logos/CP-5TAEZ8-256.png",
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"category": "developer-tools-infra",
"short_summary": "Runs department-specific AI agent workflows that generate manufacturing and supply chain intelligence (procurement, quality, IoT, sustainability, R&D) using a…",
"task_performed": "Runs department-specific AI agent workflows that generate manufacturing and supply chain intelligence (procurement, quality, IoT, sustainability, R&D) using a 102M domain categorization/enrichment database",
"inputs_accepted": [
"Manufacturing data via MCP services",
"CSV import",
"or API",
"domain database with 20 page types per domain and enrichment data"
],
"outputs_produced": [
"Supply chain intelligence signals",
"change detection alerts",
"classifications",
"enrichment data",
"dashboard reports",
"time-series signals"
],
"integrations_available": [
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"ERP connectors",
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"supply chain system connectors",
"API",
"OpenAI",
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"Gemini",
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],
"protocols_or_interfaces": [
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],
"industry_fit": [
"manufacturing"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "paid plans",
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},
{
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{
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{
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{
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{
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},
{
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{
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{
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{
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],
"source": "render+llm"
},
"trust_or_rating_signal": [
"102M domains covered",
"case studies referenced",
"security page referenced",
"compliance page referenced"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "enterprise security page only",
"evidence_urls": [
"https://websitecategorizationapi.com/demos/manufacturing/agent-workflows.php",
"https://www.websitecategorizationapi.com/demos/manufacturing/agent-workflows.php?p=7"
],
"last_checked": "2026-06-16",
"how_to_connect": {
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"docs": "https://www.websitecategorizationapi.com/api",
"mcp": null,
"a2a": null,
"api": {
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"endpoint": null
},
"protocols": []
},
"liveness": {
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"alive": true,
"endpoint_kind": "site",
"latency_ms": 479,
"uptime_7d": 1,
"checked_at": "2026-09-02T02:30:49.179Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
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"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}