feat: enhance distributor candidate research with additional fields and improved prompt for API request

src/server.ts

@@ -618,6 +618,9 @@ type DistributorCandidate = {
   website: string;
   rationale: string;
   confidence: number;
+  reputation: string;
+  contactInfo: string;
+  outreachDraft: string;
 };
 
 function clampDistributorConfidence(value: unknown): number {
@@ -635,6 +638,9 @@ function normalizeDistributorCandidates(payload: unknown): DistributorCandidate[
       website: String(item.website ?? "").trim(),
       rationale: String(item.rationale ?? "").trim(),
       confidence: clampDistributorConfidence(item.confidence),
+      reputation: String(item.reputation ?? "").trim(),
+      contactInfo: String(item.contact_info ?? "").trim(),
+      outreachDraft: String(item.outreach_draft ?? "").trim(),
     }))
     .filter((item) => item.name.length > 0 && item.website.length > 0)
     .slice(0, 10);
@@ -657,14 +663,32 @@ async function requestClaudeDistributorCandidates(context: Record<string, unknow
     throw new Error("Missing required env var: ANTHROPIC_API_KEY");
   }
   const model = (config.anthropicModel ?? "claude-sonnet-4-6").trim() || "claude-sonnet-4-6";
-  const system = "You identify authorized wholesale distributors for products. Return only JSON.";
+  const system = [
+    "You are a wholesale sourcing researcher who identifies authorized U.S. distributors for Amazon products.",
+    "For each candidate you research their reputation, locate real point-of-contact details, and draft a concise cold-outreach message.",
+    "Return only raw JSON — no prose, no markdown fences.",
+  ].join(" ");
   const prompt = [
-    "Given this Amazon product context, identify up to 5 likely authorized U.S. wholesale distributors.",
+    "Analyze the Amazon product context below and identify up to 5 likely authorized U.S. wholesale distributors.",
-    "Prioritize official brand channels and reputable distributors.",
+    "",
-    "Return only a raw JSON array with objects:",
+    "For each distributor:",
-    '[{"name":"...","website":"https://...","rationale":"...","confidence":0-100}]',
+    "1. Identify whether they are an official brand distributor, authorized reseller, or national wholesaler.",
+    "2. Investigate their reputation: check for BBB accreditation, industry tenure, any known complaints or red flags, and whether they appear on the brand's own authorized-distributor list.",
+    "3. Find the most direct point-of-contact for new wholesale accounts — ideally a named buyer, vendor relations team, or wholesale inquiry email/phone from their website (not a generic contact form).",
+    "4. Draft a short, professional cold-outreach message (3–5 sentences) I can send to open a wholesale account inquiry. The message should: mention the specific product or brand, state that I sell on Amazon as an FBA seller, ask about minimum order quantities and wholesale pricing, and invite them to share an application or terms sheet.",
+    "",
+    "Return a raw JSON array. Each object must have exactly these keys:",
+    '  "name"          — distributor company name',
+    '  "website"       — full URL (https://...)',
+    '  "rationale"     — why this distributor is a strong candidate (1–2 sentences)',
+    '  "confidence"    — integer 0–100 reflecting how confident you are this is a real authorized source',
+    '  "reputation"    — summary of reputation findings (BBB status, years in business, any red flags)',
+    '  "contact_info"  — best point-of-contact found (name/title, email or phone, or wholesale inquiry URL)',
+    '  "outreach_draft"— ready-to-send outreach message addressed to the contact above',
+    "",
+    "Product context:",
     JSON.stringify(context, null, 2),
-  ].join("\n\n");
+  ].join("\n");
   const response = await fetch("https://api.anthropic.com/v1/messages", {
     method: "POST",
     headers: {
@@ -677,7 +701,7 @@ async function requestClaudeDistributorCandidates(context: Record<string, unknow
       system,
       messages: [{ role: "user", content: prompt }],
       temperature: 0.2,
-      max_tokens: 1800,
+      max_tokens: 4096,
     }),
   });
   const raw = await response.text();