Built for narrow tasks
Agents do not need bloated software suites. They need small, high-value intelligence calls they can compose into workflows.
For AI agents
Access structured China travel, visibility, creator, trend, and market signals for agent builders, workflow systems, and data-driven teams.
Built for modular workflows, x402 payment patterns, and decision-ready outputs.
Agents do not need bloated software suites. They need small, high-value intelligence calls they can compose into workflows.
Per-request pricing makes China intelligence usable inside agent systems, not just dashboards or manual research workflows.
Outputs are designed to be consumed by LLMs, tools, and automation layers that need stable, task-ready inputs.
What agents can do
Flight, spend, route, and growth signals for destination, DMO, and hospitality workflows.
Trend, sentiment, and weekly snapshot signals for discoverability and competitive checks.
Ranked creator inputs and shortlisting signals for campaign planning and research.
Topic movement and category snapshots for content planning and signal monitoring.
Spend and flight endpoints that add directional demand context to broader decision systems.
Combine multiple primitives into snapshots, shortlist flows, and decision-ready summaries.
How it works
01
Choose the job first: travel demand, creator discovery, brand visibility, or category monitoring.
02
Use one endpoint for a quick check or compose multiple routes behind the scenes for richer task bundles.
03
Feed ranked entities, trend series, and structured snapshots into routing, reasoning, or UI layers.
Economics
This platform is designed around narrow, high-value calls rather than seats or subscriptions. That makes it easier to embed China intelligence inside agent workflows, budget-aware systems, and machine-paid execution paths.
Packaging
Per-request pricing
Contract style
Narrow endpoints
Workflow model
Composable calls
Commercial posture
No seat-based plans
Why structured routes
Measure
ChinaMarketing.ai
LLM search alone
Output shape
Structured JSON and ranking outputs
Mostly unstructured summaries
Cost control
Per-call pricing and task logic
Harder to budget at workflow level
Automation fit
Workflow-ready routes and stable anchors
More fragile for repeated orchestration
Try it now
See how a single call returns structured, decision-ready output for agent workflows.
How this differs
Start with the task, give one simple input, read the interpreted output first, then open JSON only if you need the underlying response.
This is meant to mirror how an agent evaluates a task, not how a developer inspects an endpoint.
Input
Decision-ready output (Sample response)
A compact destination signal an agent can use for prioritisation or monitoring.
Demand trend
Rising
Growth
+12% MoM
Top route
Shanghai → Tokyo
Signal strength
High
Capability preview
Flight, spend, route, and growth signals for agent-led travel and destination workflows.
Trend, sentiment, and brand snapshot inputs for discoverability and performance analysis.
Ranked creators, topic movement, and signal layers for campaign and research workflows.
Next step