For AI agents

China intelligence built for agents

Access structured China travel, visibility, creator, trend, and market signals for agent builders, workflow systems, and data-driven teams.

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Updated hourly on supported routes Low-latency request paths 1h to 24h cache defaults

Built for modular workflows, x402 payment patterns, and decision-ready outputs.

Built for narrow tasks

Agents do not need bloated software suites. They need small, high-value intelligence calls they can compose into workflows.

Priced for machine usage

Per-request pricing makes China intelligence usable inside agent systems, not just dashboards or manual research workflows.

Structured for orchestration

Outputs are designed to be consumed by LLMs, tools, and automation layers that need stable, task-ready inputs.

What agents can do

Capabilities grouped around real jobs, not a flat route list

Use MCP when you want the registry-facing product layer that bridges this workflow framing to the underlying developer contract.

Travel demand intelligence

Flight, spend, route, and growth signals for destination, DMO, and hospitality workflows.

Open travel capability

Evaluate route momentum Monitor travel demand shifts Compare markets

Brand visibility analysis

Trend, sentiment, and weekly snapshot signals for discoverability and competitive checks.

Open visibility capability

Assess discoverability in China Monitor sentiment and trends Benchmark category presence

Creator discovery

Ranked creator inputs and shortlisting signals for campaign planning and research.

Open creator capability

Find relevant creators Monitor rankings Support campaign shortlisting

Topic and category signals

Topic movement and category snapshots for content planning and signal monitoring.

Open topic capability

Identify rising topics Monitor category movement Map signal shifts

Market data enrichment

Spend and flight endpoints that add directional demand context to broader decision systems.

Open route family

Use spend and flight signals Support forecasting inputs Enhance market scans

Workflow composition

Combine multiple primitives into snapshots, shortlist flows, and decision-ready summaries.

Open starter workflows

Combine multiple signals Generate snapshots Power downstream agent decisions

How it works

A simple architecture for agent-native China intelligence

Select a capability

Choose the job first: travel demand, creator discovery, brand visibility, or category monitoring.

Call narrow intelligence primitives

Use one endpoint for a quick check or compose multiple routes behind the scenes for richer task bundles.

Return decision-ready outputs

Feed ranked entities, trend series, and structured snapshots into routing, reasoning, or UI layers.

Economics

Designed for pay-per-call intelligence

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

Why not just use LLM search?

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

Run a real agent task

See how one flagship capability returns a concise decision-ready object that agents can use directly.

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

Agent capability

Travel demand snapshot

/v1/destination-demand/snapshot

`/v1/market-data/flights/summary` plus `/v1/market-data/spend/trends` for one destination-demand decision.

Open capability details $0.20

Decision-ready output (Sample response)

A flagship destination-demand decision an agent can use for prioritisation, monitoring, or downstream routing.

Demand trend

Rising

Growth

+12% MoM

Top route

Shanghai → Tokyo

Spend context

Supportive

Raw JSON

{
  "summary": "Tokyo is showing rising China outbound movement for the current travel window.",
  "demand_direction": "up",
  "notable_signals": [
    "Estimated passengers are 168420 for 2026-02.",
    "Top feeder route is Shanghai to Tokyo.",
    "Destination spend context remains supportive."
  ],
  "opportunity_areas": [
    "Use Tokyo as an active monitoring or activation candidate.",
    "Compare route concentration before larger budget commitments."
  ],
  "risks": [
    "Commercial strength is still directional until booking data confirms conversion.",
    "Route dynamics can shift quickly around seasonality."
  ],
  "priority_actions": [
    "Re-run with the latest travel window when a new month is available.",
    "Compare Tokyo against peer destinations before budget allocation."
  ]
}

Capability preview

Three bundle types that show how the platform fits agent workflows

Travel intelligence

Flight, spend, route, and growth signals for agent-led travel and destination workflows.

Explore capability bundle

Brand visibility

Trend, sentiment, and brand snapshot inputs for discoverability and performance analysis.

Explore capability bundle

Creator and topic discovery

Ranked creators, topic movement, and signal layers for campaign and research workflows.

Explore capability bundle

Next step

Build China-aware agents with structured intelligence primitives

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