NOVA Trend Deep Analysis

x402

NOVA Trend Deep Analysis is a paid API for AI agents from nova-demand-worker.vercel.app, paid per call via x402, $0.25/call, status unknown (last checked 2026-10-11).

Performs a deep, multi-source trend analysis for a given query, with optional region and source filtering over a configurable time window.

Price / call$0.25

Seller volume →—

Success—

StatusUnknown

How this service works

Machine-facing pay-per-call utility services using x402 on Base with USDC.

Output

Returns a JSON object with ok status, gear identifier ('global-trend-buyer'), mode ('deep'), the original query echoed back, and an analysis block containing: regionCoverage (list of region codes covered), sourceDiversity (number of distinct sources), freshSignalCount (number of recent signals found), and crossSourceConfirmed (number of signals confirmed by multiple sources).

Example use cases

Real-time topic trend validation

“Run a deep trend check on 'electric vehicles' over the past 72 hours across the US, GB, and DE — give me how many fresh signals you find and whether they're cross-confirmed by at least 3 sources.”

Brand buzz monitoring across regions

“I need a deep trend analysis on 'OpenAI' for the last 24 hours, covering US and CA regions, using up to 5 sources and returning a max of 15 results — how widespread is the coverage right now?”

Research signal discovery for content strategy

“Can you do a deep trend dig on 'quantum computing' across the last 7 days globally, limit to 20 results, and tell me the source diversity and how many signals are fresh?”

Technical details

Endpoint

POSThttps://nova-demand-worker.vercel.app/x402/trend-deep?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need a deep, cross-validated, multi-source trend signal rather than a simple keyword search. It is ideal when regional breakdown and source diversity metrics matter — e.g. validating whether a trend is geographically broad or concentrated, or confirming that multiple independent sources are reporting the same signal. Prefer this over shallow trend lookups when the freshness and cross-source confirmation of signals is important to the decision being made.

Side effects

Query too short or empty — validation error returned
windowHours outside 1–168 range — schema validation failure
limit exceeds 20 — rejected by schema
regions array exceeds 20 items — rejected
sources array exceeds 10 items — rejected
Payment not completed via x402/USDC — 402 response blocking access
No trend signals found for obscure query — ok:true but low counts
Service unavailable on Vercel deployment — 5xx error

Input

Schema · Request body

Field	Type	Description
limit	integer
query	string
regions	array
sources	array
windowHours	integer

Output

Schema · Response

{
  "type": "json",
  "example": {
    "ok": true,
    "gear": "global-trend-buyer",
    "mode": "deep",
    "query": "AI agents",
    "analysis": {
      "regionCoverage": [
        "US",
        "GB"
      ],
      "sourceDiversity": 3,
      "freshSignalCount": 8,
      "crossSourceConfirmed": 3
    }
  }
}

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