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FrugalFinder

Best-value deal hunting as a service. Submit what you want + why + budget; a FrugalBot agent periodically scans and returns the best value opportunity — not the cheapest, not the fanciest.

Architecture (MVP)

[Web UI / Telegram bot / MCP client agents] 
        ↓ POST
   Vercel serverless API  ──→  Vercel KV store (wishlists + scans)
        ↓                        ↑
   FrugalBot analyzer            │ scheduled re-scan
   (OpenRouter LLM)      ────────┘  (Vercel Cron, hourly tick)

Related MCP server: ecommerce-mcp-server

Endpoints

Route

Method

Purpose

/

GET

Web UI: submit wishlist, view analysis

/api/wishlists

POST

Create wishlist → runs first FrugalBot analysis

/api/wishlists?id=

GET/PATCH

Fetch or update one wishlist

/api/scan?id=

GET/POST

Poll latest scan / trigger scan now

/api/scan-all

POST

Cron target — scans all due wishlists

/api/telegram

POST

Telegram webhook ingest

/api/mcp

POST

MCP Streamable HTTP endpoint for external AI agents

/api/reservations

POST

Create campground reservation watcher (Recreation.gov)

/api/reservations?id=

GET/PATCH

List/fetch/update reservation watchers

/api/reservations/scan?id=

POST

Trigger reservation scan now

/api/compare

POST/GET

3-model LLM comparison scan / performance summary

/admin.html

GET

Admin dashboard: LLM quality-vs-cost monitor

Campground Reservation Watcher

Watch multiple Recreation.gov campgrounds for openings in your date window. site_preference: "lakefront" scores lakefront sites higher when they free up via cancellation. Scoring: availability + preference match + features (shade, pets, paved driveway) − price.

curl -X POST https://YOUR-DOMAIN.vercel.app/api/reservations \
  -H 'Content-Type: application/json' \
  -d '{"campground_ids":["233117","232665"],"date_window":"2026-10-09 to 2026-10-12","site_preference":"lakefront","cadence":"daily"}'

Known limit: Recreation.gov's date-based availability endpoint currently returns 404 to anonymous callers (API changed). The scanner uses their public site-metadata search (verified working: loops, attributes, status, price). When date-level availability is re-exposed, wire it into getCampgroundSites() — everything downstream already handles it. ReserveAmerica (NC state parks) blocks anonymous API calls; add as a provider with cookies/session if needed later.

Multi-LLM Comparison ("quality vs cost control")

POST /api/compare races three model tiers on the same frugal-bot prompt:

Tier

Default model

Purpose

pareto

openrouter/auto

OpenRouter's own best-model routing

budget_web

openai/gpt-4.1-nano (+web plugin)

cheapest web-capable

mid_web

perplexity/sonar

mid-range web-capable

A judge (anthropic/claude-opus-4.1) then ranks all three blind (order-shuffled), scoring 1–10. Every run logs tokens/cost/score/wins to the perf store; GET /api/compare aggregates them and /admin.html visualizes. All slugs are env-overridable weekly without code changes: PARETO_MODEL, BUDGET_WEB_MODEL, MID_WEB_MODEL, JUDGE_MODEL.

Verified live run: mid_web (Sonar) scored 9 vs pareto (routed DeepSeek v4 flash) 8 vs budget (GPT-4.1-nano) 4–7, total cost ≈ $0.05/comparison.

Env vars (set in Vercel dashboard → Settings → Environment Variables)

  • OPENROUTER_API_KEY (required) — LLM provider

  • FRUGAL_MODEL (optional, default stealth/ox-alpha) — any OpenRouter model slug

  • KV_REST_API_URL, KV_REST_API_TOKEN (required for production persistence) — from a Vercel KV (Upstash) database attached in Vercel → Storage

  • WISHLIST_TOKEN (required for owner access, at least 32 unpredictable characters) — server-side login and Bearer authentication for private APIs

  • CRON_SECRET (required for /api/scan-all and /api/health/storage) — configure before deployment

  • TELEGRAM_BOT_TOKEN (optional), TELEGRAM_WEBHOOK_SECRET (required if Telegram webhook is used) — webhook now rejects requests if the secret is missing

  • MCP_TOKEN (optional) — shared secret for /api/mcp

  • PARETO_MODEL, BUDGET_WEB_MODEL, MID_WEB_MODEL, JUDGE_MODEL (optional) — LLM comparison tier overrides

MCP: Codex and Hermes setup

The deployed endpoint is Streamable HTTP (not SSE): https://YOUR-DOMAIN.vercel.app/api/mcp. Set a long random MCP_TOKEN in Vercel for Preview and Production, then configure the same token as the x-mcp-token request header in each client. The MCP tools include submit_wishlist, get_wishlist, list_wishlists, update_wishlist, delete_wishlist, and trigger_scan.

Codex configuration (~/.codex/config.toml):

[mcp_servers.frugalfinder]
url = "https://YOUR-DOMAIN.vercel.app/api/mcp"
http_headers = { "x-mcp-token" = "YOUR_MCP_TOKEN" }

Hermes configuration (use the equivalent server entry in its MCP settings):

{"mcpServers":{"frugalfinder":{"url":"https://YOUR-DOMAIN.vercel.app/api/mcp","headers":{"x-mcp-token":"YOUR_MCP_TOKEN"}}}}

Use match_preference as exact, similar, or alternatives; notes holds first-class fit, finish, compatibility, and other constraints. Never commit the token—use the client's secret/environment-variable support when available.

Sharing paths

Add to Wishlist (bookmarklet)

Create a browser bookmark named Add to Wishlist with this URL:

javascript:(function(){var u=location.href,t=document.title;window.open('https://frugalfinder.vercel.app/?share='+encodeURIComponent(u)+'&item='+encodeURIComponent(t),'_blank')})()

Click it on any product page to open FrugalFinder with the listing prefilled. Sign in on the FrugalFinder domain, then submit the wishlist; cross-origin POST requests are no longer permitted.

Email (MVP note)

Not yet wired — MVP uses web UI + Telegram + bookmarklet. Email ingest is a natural v2 addition via an inbound-email webhook (e.g. Resend/Postmark → /api/wishlists).

Tier

Cadence

Price rationale

Free

daily

~30 LLM calls/mo/item at $0 marginal cost on free stealth models ≈ negligible infra

Power

hourly

$0.01/scan × ~720 scans/mo = $7.20/mo per item — price at $5/mo flat, margin comes from batching multiple wishlists into one hourly cron tick

Pro (future)

hourly + priority queue + email digests

$12/mo

The unit economics only work because the analyzer batches all due wishlists into a single cron pass (/api/scan-all), amortizing cold-start overhead.

Owner-only access (security patch)

Deployment order matters. In Vercel, set WISHLIST_TOKEN to a freshly generated random secret with at least 32 characters in Production and Preview before deploying this patch. Preserve the key in your password manager; the application cannot recover it. Never put the key in GitHub or frontend JavaScript. Redeploy after changing environment variables.

  • Open the FrugalFinder home page, enter the key once, and receive a signed HttpOnly, Secure, SameSite=Lax session cookie valid for up to seven days; use Sign out to clear it.

  • Sensitive endpoints (/api/wishlists, /api/renew, /api/scan, /api/compare) reject unauthenticated requests. For non-browser scripts use Authorization: Bearer YOUR_WISHLIST_TOKEN over HTTPS.

  • /api/health remains public; /api/scan-all remains guarded by CRON_SECRET; /api/telegram now requires TELEGRAM_WEBHOOK_SECRET. Configure these before enabling their integrations.

  • Bookmarklets now open FrugalFinder in a new tab, which avoids exposing a secret to other websites.

  • This is single-owner access. Do not reuse this key for other services. Implement per-user login/authorization if multi-user access is needed later.

Caution: The current Vercel route configuration references api/mcp.js, which is absent from this repository revision. The MCP endpoint needs a separate follow-up review. No claim is made here that MCP is functional or secured by this patch.

Future: per-user magic-link login (Auth.js or Clerk), then separate wishlists by user ID; Stripe and usage metering if launched as a paid service.

Local dev

npm install
vercel dev   # needs `vercel link` once
npm test    # node:test unit tests

MCP usage (for external agents like ChatGPT/Claude/Codex)

Connect an MCP-capable client to:

https://YOUR-DOMAIN.vercel.app/api/mcp

Headers: x-mcp-token: <MCP_TOKEN> if set.

Exposed tools:

  • submit_wishlist(item, use_case, budget, flexibility?, cadence?, source_url?) → saves + immediate analysis

  • get_wishlist(id) → full record incl. latest analysis & scan history

  • list_wishlists() → summary of all active wishlists

  • trigger_scan(id) → force an out-of-band frugal-bot scan

  • submit_reservation_watch(campground_ids, date_window?, site_preference?, min_features?, max_price?, cadence?, notes?) → campground watcher + first scan (lakefront preference supported)

  • list_reservations() → all reservation watchers with last results

  • trigger_reservation_scan(id) → re-scan a reservation now

  • run_model_comparison(item, use_case, budget, flexibility?) → 3-tier LLM race + judge verdict

  • get_model_performance() → aggregated quality/cost stats per tier

Calling agents should treat it as submit + poll: submit once, then call get_wishlist on whatever cadence suits them (or wait for their own scheduler). The MCP spec has no push channel for arbitrary updates, so periodic polling is the standard pattern.

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