ComparEdge Pricing
Verified SaaS, AI, and LLM pricing for 490+ tools: plans, hidden costs, TCO, and alternatives.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (2)
- LOWin calculate_tco
- LOWin estimate_llm_cost
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"pricing-api": {
"url": "https://comparedge.com/api/mcp"
}
}
}Remote-Endpunkte
https://comparedge.com/api/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (9)
🟢get_pricing(slug, depth, fields)
Full sourced pricing record for one product: tiers with per-tier features, price range, annual discounts, hidden costs, capabilities, verdict, plan advice, category positioning, verification and links.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug, e.g. \"notion\", \"salesforce\", \"openai\"."
},
"depth": {
"type": "string",
"enum": [
"summary",
"full"
],
"description": "summary = numbers and ranges; full = adds features, plan advice, expert take."
},
"fields": {
"type": "string",
"description": "Optional comma-separated field list to narrow the payload, e.g. \"tiers,hiddenCosts,discounts\"."
}
},
"required": [
"slug"
]
}⚪compare_software(slugs)
Structured side-by-side comparison of 2 to 4 products, each a full record plus a compact matrix (starting price, free tier, max annual discount, hidden-cost count).
Eingabe-Schema
{
"type": "object",
"properties": {
"slugs": {
"type": "array",
"items": {
"type": "string"
},
"description": "2 to 4 product slugs, e.g. [\"notion\",\"clickup\"]."
}
},
"required": [
"slugs"
]
}🟢discover_software(category, maxPrice, hasFreeTier, q, limit)
Find software by criteria: category, max starting price, free-tier requirement, or a keyword. Returns compact cards with the source link for each.
Eingabe-Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Category slug, e.g. \"crm\", \"llm\", \"cloud-hosting\"."
},
"maxPrice": {
"type": "number",
"description": "Maximum starting (lowest paid) price per month."
},
"hasFreeTier": {
"type": "boolean",
"description": "Only products with a perpetual free tier."
},
"q": {
"type": "string",
"description": "Keyword to match against name / slug / category."
},
"limit": {
"type": "number",
"description": "Max results (default 50, cap 200)."
}
}
}🟡get_hidden_costs(slug)
The costs beyond the sticker price (implementation, add-ons, overage, support) for one product, with the intro context and category positioning. This is the data most pricing answers miss.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug."
}
},
"required": [
"slug"
]
}🟢calculate_tco(slug, seats, tier, billing)
Total cost of ownership for a team: the seat-aware, annual-aware subscription line plus the hidden-cost line items. Params: slug, seats, tier, billing (monthly|annual).
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug."
},
"seats": {
"type": "number",
"description": "Team size (per-seat products)."
},
"tier": {
"type": "string",
"description": "Plan name, e.g. \"Business\". Optional; defaults to the first paid plan."
},
"billing": {
"type": "string",
"enum": [
"monthly",
"annual"
],
"description": "Billing cadence."
}
},
"required": [
"slug"
]
}⚪estimate_llm_cost(slug, inputTokens, outputTokens, model)
Per-model token rate card ($/1M input, output, cached input, context window) for a token-priced AI product, plus a cost estimate when a token volume is given.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug, e.g. \"openai\", \"claude\", \"gemini\"."
},
"inputTokens": {
"type": "number",
"description": "Input token count for the estimate."
},
"outputTokens": {
"type": "number",
"description": "Output token count for the estimate."
},
"model": {
"type": "string",
"description": "Model id to select, e.g. \"gpt-5.4\". Optional."
}
},
"required": [
"slug"
]
}🟢get_cost_guide(slug)
Negotiation-ready true-cost brief for one product: real renewal-rate costs, the vendor cost-transparency score, discount programs that survive renewal, negotiation tactics with expected discount ranges, what is negotiable vs fixed, and a link to a free negotiation email generator.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug, e.g. \"kling-ai\", \"fathom-meeting\"."
}
},
"required": [
"slug"
]
}🟡get_price_history(slug)
Price-stability signal, latest verified snapshot, last observed change and derived trend for one product.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug."
}
},
"required": [
"slug"
]
}🟢get_positioning(slug)
Where a product sits on price against its category: starting price vs the category median, min, max and sample size — the most citable one-line stat.
Eingabe-Schema
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug."
}
},
"required": [
"slug"
]
}Community
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