API & INTEGRATIONS

Foresight, inside the tools you already use.

Bring verified early-adopter data into Claude, ChatGPT, Copilot, or your own stack. Ask in natural language. Get forecasts grounded in our data, not guesses.

Get a demo →See it work ↓

THE GAP

Every team works with AI now. The data inside it is generic.

General assistants have read the open web. They hold no verified early-adopter signals, no foresight method, no grounding in what people do at the frontier. An assistant is only as good as the data you feed it.

WHAT YOUR TEAM GETS

Conversational access to verified foresight.

ASKWhat’s about to rise in functional beverages?

◑Adaptogenic sodas are emerging. +162% projected growth, about 18 months ahead of the mainstream, led by wellness and Gen Z audiences.

Always current

Signals refresh continuously. No stale snapshot, ever.

Reports in seconds

A sourced trend report on any category, written on request.

Forecasts, not guesses

Every answer carries growth and lead time from real behavior.

No dashboard needed

Ask in plain language, inside the tools you already use.

ONE ENDPOINT

Query trends, growth forecasts, and audiences as structured data.

Over MCP, REST, or native agent tools. Every answer grounded in our proprietary signal layer.

pulse.nextatlas.com

POST /entity/detail
X-API-Key: ••••••••••••
{
  "datasource_id": "nexttrend_v7",
  "filter": { "==": ["term", "matcha"] }
}

200 OK
{
  "term": "matcha",
  "forecast": { "future_growth": "+162%", "horizon_months": 18 },
  "momentum": "rising",
  "confidence": 0.91,
  "top_audiences": ["wellness", "specialty coffee", "gen z"]
}

MCP

MCP server

Connect agents and assistants to live foresight through the Model Context Protocol.

REST

REST API

Entity-level trends, scores, and forecasts as structured JSON for any pipeline.

AGENTS

Agent tools

Native tool definitions so your agents can query and reason over our data.

WORKS INSIDE

Claude

ChatGPT

Copilot

Perplexity

Your stack

FORESIGHT AS A SERVICE

Most foresight dies in a report. Ours runs in the workflow.

Machine-readable and MCP-native, foresight stops being a report you open. It becomes a micro-service teams build on: smart triggers, recommendation layers, and real-time engines that plug straight into the tools where decisions are made.

▦

Merchandising Intelligence

Trend-driven buying decisions

LIVEPOWERED BY NEXTATLAS

IMMEDIATE BUYS

Jelly Shoes▲ +130%

Block Heels▲ +280%

Ballet Sneakers▲ +116%

CLEARANCE FOCUS

Winter Boots▼ −42%

Dress Shoes▼ −28%

Formal Loafers▼ −7%

TEST MARKETS

Custom Shoes▲ +59.8%

Suede Sneakers▲ +83%

Peep Toe▲ +88%

A buy plan that briefs itself. The dashboard reads live forecasts, flags buys and clearance risk, and re-ranks weekly. No analyst in the loop.

THE SURFACE AREA IS EXPANDING

E-commerce recoA layer that recommends what is about to rise, not what already sold.

Media planningSpend mapped to demand months before it peaks.

Dynamic creativeContent that adapts to emerging signals as they move.

Personalized journeysEach consumer met with what is becoming relevant to them.

Product pipelinesRoadmaps fed by forecasts, not last quarter.

Smart triggersAutomated actions the moment a signal crosses a threshold.

Foresight stops serving only strategy. It fuels product, media, personalization, and UX. A structurally larger market, and we intend to lead it.

WHY OUR DATA

Other tools track what’s mainstream. We track what’s becoming relevant.

A decade of AI, aimed at one question. What do people do before the market notices?

We read early adopters. The first to move, not the loudest. No volume charts. No surveys about the past. The signal arrives before it becomes news.

That is what belongs inside an assistant.

Bring Nextatlas into your AI stack.

Get a demo →How the data is built →