io.github.comparedge/pricing-api

ComparEdge Pricing

Verified SaaS, AI, and LLM pricing for 490+ tools: plans, hidden costs, TCO, and alternatives.

1.0.0
Version
remote
Transport
9
Tools

Security review

Review passed

Reviewed Jan 1, 2000.

  • tools: 9 tools scanned
  • metadata: scanned

No findings.

Tools (9)

  • get_pricing

    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.

  • compare_software

    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).

  • discover_software

    Find software by criteria: category, max starting price, free-tier requirement, or a keyword. Returns compact cards with the source link for each.

  • get_hidden_costs

    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.

  • calculate_tco

    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).

  • estimate_llm_cost

    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.

  • get_cost_guide

    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.

  • get_price_history

    Price-stability signal, latest verified snapshot, last observed change and derived trend for one product.

  • get_positioning

    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.