Start with a task
Frame the workflow around one job such as a visibility snapshot, creator shortlist, or travel demand signal.
Docs
Use ChinaMarketing.ai primitives inside agent workflows, orchestration layers, and machine-paid execution paths.
Frame the workflow around one job such as a visibility snapshot, creator shortlist, or travel demand signal.
Use one endpoint for quick checks or combine multiple routes when the workflow needs richer context.
Feed rankings, snapshots, trend series, and enrichment layers into orchestration and UI decisions.
Registry-ready capability layer
/v1/visibility/snapshot
Generate a China brand visibility snapshot with summary assessment, scored strengths and gaps, and priority actions.
Typical wait: about 45s. Live provider-backed visibility runs can take up to 45 seconds. Keep the request open while the system gathers trend, sentiment, and optional weekly snapshot context.
/v1/destination-demand/snapshot
Generate a China outbound destination demand snapshot with demand direction, notable signals, risk framing, and priority actions.
Typical wait: about 15s. Destination demand usually returns quickly. Spend context is included when the destination can be mapped cleanly to a supported market.
/v1/kol/shortlist
Generate a decision-ready China KOL shortlist with creator candidates, selection rationale, risk flags, and next steps.
Typical wait: about 35s. Shortlist generation can take up to 35 seconds when provider-backed discovery is required. Keep the request open rather than retrying.
Integration patterns
For agents that need one narrow intelligence action with a simple price and response contract.
For systems that stitch together multiple primitives into one branded or task-specific output.
For repeated checks on a brand, route, creator set, or category over time.
For flows that need predictable per-task cost logic before each agent run.
Recommended starting workflows
Combine trends, sentiment, and weekly brand snapshots for a reusable visibility summary.
Use flights and spend signals to build destination monitoring and movement summaries.
Start with shortlist generation, then add rankings to compare and monitor creator momentum.
Layer trends, topic rankings, and category snapshots for ongoing market signal checks.
Real response example
A typical agent task can return a compact object that is easy to route into UI, reasoning, or monitoring logic.
Output
{
"insight": "Brand X is showing rising China visibility momentum with medium confidence.",
"key_drivers": [
"Trend momentum is improving on RED.",
"Sentiment is positive across the latest narrative set.",
"Weekly brand snapshot shows above-baseline visibility."
],
"recommendation": "Keep Brand X in the active monitoring set and compare category drift weekly.",
"confidence": "medium",
"source_summary": {
"trend_lane": "qwen",
"evidence_mode": "proxy",
"weekly_snapshot_available": true
},
"cost": {
"amount_usd": "0.63",
"billing_basis": "per_request"
},
"next_action": "Re-run weekly with a category parameter for stronger benchmarking.",
"raw": {
"trends": {},
"sentiment": {},
"brand_snapshot": {}
},
"meta": {
"processing": {
"latency_class": "standard",
"expected_wait_seconds": 45,
"buyer_message": "This route calls live research providers and may take up to 45 seconds. Keep the request open.",
"artifact_retrieval_supported": true
}
}
} API reference bridge
Use the core developer docs for route-level request and response examples, anchors, pricing, and payment mechanics.
Response design guidance