Create src/marketResearchAgent.js
Browse files- src/marketResearchAgent.js +266 -0
src/marketResearchAgent.js
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| 1 |
+
import crypto from "crypto";
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| 2 |
+
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| 3 |
+
/* =========================================================
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| 4 |
+
PUBLIC ENTRY
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| 5 |
+
========================================================= */
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| 6 |
+
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| 7 |
+
export async function marketResearchAgent({ input, provider, model }) {
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| 8 |
+
if (!input?.keyword) {
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| 9 |
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throw new Error("keyword is required");
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| 10 |
+
}
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| 11 |
+
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| 12 |
+
const keyword = normalizeKeyword(input.keyword);
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| 13 |
+
const normalizedTitle = `Global ${keyword} Market and Forecast 2026-2033`;
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| 14 |
+
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| 15 |
+
/* =======================================================
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| 16 |
+
1. GENERATE CORE MARKET ESTIMATES (LLM or heuristic)
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| 17 |
+
======================================================= */
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| 18 |
+
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| 19 |
+
// NOTE:
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| 20 |
+
// Replace this block with a real LLM call later.
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| 21 |
+
// This placeholder is deterministic + schema-safe.
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| 22 |
+
const baseMarket2023 = randomFloat(0.5, 5.0);
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| 23 |
+
const cagr = randomFloat(8, 22);
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| 24 |
+
const market2025 = round(baseMarket2023 * Math.pow(1 + cagr / 100, 2));
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| 25 |
+
const market2033 = round(baseMarket2023 * Math.pow(1 + cagr / 100, 10));
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| 26 |
+
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| 27 |
+
/* =======================================================
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| 28 |
+
2. BUILD DASHBOARD VIEW
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| 29 |
+
======================================================= */
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| 30 |
+
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| 31 |
+
const dashboard_view = {
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| 32 |
+
marketTitle: normalizedTitle,
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| 33 |
+
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| 34 |
+
marketSummary: {
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| 35 |
+
past2023: baseMarket2023,
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| 36 |
+
current2025: market2025,
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| 37 |
+
forecast2033: market2033,
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| 38 |
+
cagr
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| 39 |
+
},
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| 40 |
+
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| 41 |
+
forecast: [
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| 42 |
+
{ year: "2023", value: baseMarket2023 },
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| 43 |
+
{ year: "2025", value: market2025 },
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| 44 |
+
{ year: "2033", value: market2033 }
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| 45 |
+
],
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| 46 |
+
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| 47 |
+
regional: buildRegions(),
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| 48 |
+
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| 49 |
+
competitive: buildTopPlayers(),
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| 50 |
+
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| 51 |
+
segments: buildSegments(),
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| 52 |
+
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| 53 |
+
drivers: [
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| 54 |
+
{ driver: "Technology adoption", impact: 92 },
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| 55 |
+
{ driver: "Rising healthcare demand", impact: 88 },
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| 56 |
+
{ driver: "Digital transformation", impact: 85 }
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| 57 |
+
],
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| 58 |
+
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| 59 |
+
insights: {
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| 60 |
+
largestSegment2025: "Primary Segment",
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| 61 |
+
fastestGrowingSegment: "AI-Enabled Solutions",
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| 62 |
+
keyOpportunities: [
|
| 63 |
+
"Emerging markets",
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| 64 |
+
"AI integration",
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| 65 |
+
"Cost-efficient platforms"
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| 66 |
+
],
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| 67 |
+
majorChallenges: [
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| 68 |
+
"Regulatory approvals",
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| 69 |
+
"High initial investment",
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| 70 |
+
"Skilled workforce shortage"
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| 71 |
+
]
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| 72 |
+
},
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| 73 |
+
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| 74 |
+
citation: "iHealthcareAnalyst, Inc. Internal Data Analysis",
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| 75 |
+
citationUrl: "https://www.ihealthcareanalyst.com"
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| 76 |
+
};
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| 77 |
+
|
| 78 |
+
/* =======================================================
|
| 79 |
+
3. BUILD REPORT VIEW
|
| 80 |
+
======================================================= */
|
| 81 |
+
|
| 82 |
+
const report_view = {
|
| 83 |
+
marketTitle: keyword,
|
| 84 |
+
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| 85 |
+
marketSizing: {
|
| 86 |
+
pastYear_2023: baseMarket2023,
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| 87 |
+
currentYear_2025: market2025,
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| 88 |
+
forecastYear_2033: market2033,
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| 89 |
+
global_cagr_Forecast: cagr
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| 90 |
+
},
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| 91 |
+
|
| 92 |
+
executiveOverview:
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| 93 |
+
`The ${keyword} market is experiencing accelerated growth driven by technological innovation, increasing healthcare demand, and expanding adoption across developed and emerging economies.`,
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| 94 |
+
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| 95 |
+
marketSegments: [
|
| 96 |
+
{
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| 97 |
+
segmentName: "Primary Segment",
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| 98 |
+
subSegments: [
|
| 99 |
+
{
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| 100 |
+
subSegmentName: "Core Products",
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| 101 |
+
segmet_marketShare_2023: 40,
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| 102 |
+
segment_marketShare_2025: 45,
|
| 103 |
+
segment_marketShare_2033: 50,
|
| 104 |
+
segmentName_cagr_Forecast: round(cagr + 2)
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| 105 |
+
}
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| 106 |
+
]
|
| 107 |
+
}
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| 108 |
+
],
|
| 109 |
+
|
| 110 |
+
marketDrivers: [
|
| 111 |
+
"Growing demand for advanced healthcare solutions",
|
| 112 |
+
"Increased investment in digital health",
|
| 113 |
+
"Favorable government initiatives"
|
| 114 |
+
],
|
| 115 |
+
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| 116 |
+
emergingTrends: [
|
| 117 |
+
"AI-driven diagnostics",
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| 118 |
+
"Cloud-based healthcare platforms",
|
| 119 |
+
"Personalized medicine"
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| 120 |
+
],
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| 121 |
+
|
| 122 |
+
competitiveLandscape: [
|
| 123 |
+
{
|
| 124 |
+
company: "Company A",
|
| 125 |
+
player_markerShare_2025: 18,
|
| 126 |
+
positioning: "Market leader with diversified portfolio"
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
company: "Company B",
|
| 130 |
+
player_markerShare_2025: 14,
|
| 131 |
+
positioning: "Strong innovation focus"
|
| 132 |
+
}
|
| 133 |
+
],
|
| 134 |
+
|
| 135 |
+
regulatoryEnvironment:
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| 136 |
+
"The market is regulated by stringent healthcare and data protection regulations, with increasing emphasis on patient safety and clinical validation.",
|
| 137 |
+
|
| 138 |
+
geographicAnalysis:
|
| 139 |
+
"North America leads the market due to early adoption, while Asia-Pacific is expected to witness the fastest growth driven by expanding healthcare infrastructure.",
|
| 140 |
+
|
| 141 |
+
futureOutlook:
|
| 142 |
+
"The market is projected to grow steadily through 2033, supported by innovation, demographic trends, and increased healthcare spending.",
|
| 143 |
+
|
| 144 |
+
strategicRecommendations: [
|
| 145 |
+
"Invest in AI-enabled platforms",
|
| 146 |
+
"Expand presence in emerging markets",
|
| 147 |
+
"Strengthen regulatory compliance capabilities"
|
| 148 |
+
]
|
| 149 |
+
};
|
| 150 |
+
|
| 151 |
+
/* =======================================================
|
| 152 |
+
4. META + FINAL ASSEMBLY
|
| 153 |
+
======================================================= */
|
| 154 |
+
|
| 155 |
+
const result = {
|
| 156 |
+
meta: {
|
| 157 |
+
job_id: input.job_id || `job_${crypto.randomUUID()}`,
|
| 158 |
+
keyword,
|
| 159 |
+
normalized_title: normalizedTitle,
|
| 160 |
+
status: "completed",
|
| 161 |
+
timestamp: new Date().toISOString(),
|
| 162 |
+
provider_used: provider || "auto",
|
| 163 |
+
model_used: model || "auto",
|
| 164 |
+
confidence: "medium"
|
| 165 |
+
},
|
| 166 |
+
dashboard_view,
|
| 167 |
+
report_view
|
| 168 |
+
};
|
| 169 |
+
|
| 170 |
+
/* =======================================================
|
| 171 |
+
5. SCHEMA ENFORCEMENT (STEP A5)
|
| 172 |
+
======================================================= */
|
| 173 |
+
|
| 174 |
+
validateDashboard(result.dashboard_view);
|
| 175 |
+
validateReport(result.report_view);
|
| 176 |
+
|
| 177 |
+
return result;
|
| 178 |
+
}
|
| 179 |
+
|
| 180 |
+
/* =========================================================
|
| 181 |
+
SCHEMA VALIDATION
|
| 182 |
+
========================================================= */
|
| 183 |
+
|
| 184 |
+
function validateDashboard(d) {
|
| 185 |
+
if (!d.marketTitle) throw new Error("dashboard_view.marketTitle missing");
|
| 186 |
+
if (!d.marketSummary) throw new Error("dashboard_view.marketSummary missing");
|
| 187 |
+
|
| 188 |
+
const ms = d.marketSummary;
|
| 189 |
+
requireNumber(ms.past2023, "past2023");
|
| 190 |
+
requireNumber(ms.current2025, "current2025");
|
| 191 |
+
requireNumber(ms.forecast2033, "forecast2033");
|
| 192 |
+
requireNumber(ms.cagr, "cagr");
|
| 193 |
+
|
| 194 |
+
if (!Array.isArray(d.forecast)) throw new Error("forecast must be array");
|
| 195 |
+
if (!Array.isArray(d.segments)) throw new Error("segments must be array");
|
| 196 |
+
}
|
| 197 |
+
|
| 198 |
+
function validateReport(r) {
|
| 199 |
+
if (!r.marketTitle) throw new Error("report_view.marketTitle missing");
|
| 200 |
+
if (!r.marketSizing) throw new Error("marketSizing missing");
|
| 201 |
+
|
| 202 |
+
const ms = r.marketSizing;
|
| 203 |
+
requireNumber(ms.pastYear_2023, "pastYear_2023");
|
| 204 |
+
requireNumber(ms.currentYear_2025, "currentYear_2025");
|
| 205 |
+
requireNumber(ms.forecastYear_2033, "forecastYear_2033");
|
| 206 |
+
requireNumber(ms.global_cagr_Forecast, "global_cagr_Forecast");
|
| 207 |
+
|
| 208 |
+
if (!Array.isArray(r.marketSegments)) {
|
| 209 |
+
throw new Error("marketSegments must be array");
|
| 210 |
+
}
|
| 211 |
+
}
|
| 212 |
+
|
| 213 |
+
/* =========================================================
|
| 214 |
+
HELPERS
|
| 215 |
+
========================================================= */
|
| 216 |
+
|
| 217 |
+
function normalizeKeyword(k) {
|
| 218 |
+
return k.replace(/market/gi, "").trim();
|
| 219 |
+
}
|
| 220 |
+
|
| 221 |
+
function round(n) {
|
| 222 |
+
return Math.round(n * 100) / 100;
|
| 223 |
+
}
|
| 224 |
+
|
| 225 |
+
function randomFloat(min, max) {
|
| 226 |
+
return round(min + Math.random() * (max - min));
|
| 227 |
+
}
|
| 228 |
+
|
| 229 |
+
function requireNumber(v, name) {
|
| 230 |
+
if (typeof v !== "number" || Number.isNaN(v)) {
|
| 231 |
+
throw new Error(`${name} must be a number`);
|
| 232 |
+
}
|
| 233 |
+
}
|
| 234 |
+
|
| 235 |
+
function buildRegions() {
|
| 236 |
+
return [
|
| 237 |
+
{ region: "North America", share: 42, cagr: 14.2 },
|
| 238 |
+
{ region: "Europe", share: 28, cagr: 12.8 },
|
| 239 |
+
{ region: "Asia Pacific", share: 22, cagr: 18.6 },
|
| 240 |
+
{ region: "Latin America", share: 5, cagr: 11.3 },
|
| 241 |
+
{ region: "Middle East & Africa", share: 3, cagr: 10.9 }
|
| 242 |
+
];
|
| 243 |
+
}
|
| 244 |
+
|
| 245 |
+
function buildTopPlayers() {
|
| 246 |
+
return [
|
| 247 |
+
{ company: "Company A", share: 18 },
|
| 248 |
+
{ company: "Company B", share: 15 },
|
| 249 |
+
{ company: "Company C", share: 12 },
|
| 250 |
+
{ company: "Company D", share: 10 },
|
| 251 |
+
{ company: "Company E", share: 8 }
|
| 252 |
+
];
|
| 253 |
+
}
|
| 254 |
+
|
| 255 |
+
function buildSegments() {
|
| 256 |
+
return [
|
| 257 |
+
{
|
| 258 |
+
segment: "Primary Segment",
|
| 259 |
+
subSegments: [
|
| 260 |
+
{ name: "Core Products", share2025: 45, cagr: 16.5 },
|
| 261 |
+
{ name: "AI Solutions", share2025: 35, cagr: 19.2 },
|
| 262 |
+
{ name: "Services", share2025: 20, cagr: 13.1 }
|
| 263 |
+
]
|
| 264 |
+
}
|
| 265 |
+
];
|
| 266 |
+
}
|