标准流 StdFlow
面向 AI Agent 的中国国家标准知识库,提供 GB、GB/T 和 GB/Z 标准检索、全文与条款定位、引用链追踪、版本历史及合规审查 MCP 工具。
What it does
The specific capability behind this listing, and where to get it.
标准流 StdFlow
面向 AI Agent 的中国国家标准知识库,提供 GB、GB/T 和 GB/Z 标准检索、全文与条款定位、引用链追踪、版本历史及合规审查 MCP 工具。
Agentery has not yet captured structured capability detail for this provider.
Official 标准流 StdFlow links
Pricing & plans
Observed public pricing for 标准流 StdFlow, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.05 /request
This plan sits close to the market.
No monthly-comparable cohort to benchmark this plan against yet.
Why Agentery reaches that view
price_benchmarkNot monthly-comparable.
get_agent_profile · plan historyper request observed 2026-08-23.
pricing recommendationPercentile unavailable for this basis.
confidenceSource 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 标准流 StdFlow good value?
How its price compares with genuinely comparable providers.
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.
Check capability before deciding
Compare language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
标准流 StdFlow's local market
Nearest products by what they do.
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "stdflow",
"name": "标准流 StdFlow",
"url": "https://stdflow.com/",
"logo": "https://www.google.com/s2/favicons?domain=stdflow.com&sz=128",
"niche": null,
"category": null,
"short_summary": "面向 AI Agent 的中国国家标准知识库,提供 GB、GB/T 和 GB/Z 标准检索、全文与条款定位、引用链追踪、版本历史及合规审查 MCP 工具。",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "usage",
"currency": "USD",
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "Paid (price not published)",
"summary": "StdFlow uses pay-per-use pricing, with API and MCP requests charged at rates ranging from $0.05 to $0.50 per request, plus a $1.00 signup trial credit.",
"confidence": "high",
"source_url": "https://stdflow.com/en/pricing/",
"checked_at": "2026-08-23T04:36:20.451Z",
"amount": null,
"display": null,
"plans": [
{
"name": "REST API",
"price": "$0.05 / request",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"Semantic search: $0.05 / request",
"AI compliance Q&A: $0.10 / request",
"Standard details: $0.05 / request"
],
"price_annual": null
},
{
"name": "MCP Tools",
"price": "$0.05 / request",
"usage": true,
"period": "usage",
"persona": "individual",
"highlights": [
"search_standards: $0.05 / request",
"search_clauses: $0.05 / request",
"get_standard: $0.20 / request",
"trace_references: $0.05 / request",
"review_compliance: $0.50 / request",
"get_standard_history: $0.05 / request",
"get_certification: $0.05 / request"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://stdflow.com/"
],
"last_checked": null,
"how_to_connect": {
"website": "https://stdflow.com/",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": []
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 689,
"uptime_7d": 1,
"checked_at": "2026-08-23T02:39:42.609Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": {
"usdPerUnit": 0.05,
"unit": "requests",
"usdPer1k": 50,
"raw": "$0.05 / request",
"plan": "REST API"
}
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}