AI Compute Optimization Infra

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        "day": "2026-07-22",
        "index": 100.204,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-23",
        "index": 100.204,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-24",
        "index": 100.204,
        "pairs": 10,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-25",
        "index": 100.204,
        "pairs": 9,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-26",
        "index": 100.204,
        "pairs": 9,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-27",
        "index": 100.204,
        "pairs": 9,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-28",
        "index": 100.204,
        "pairs": 8,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-29",
        "index": 100.204,
        "pairs": 8,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-30",
        "index": 100.204,
        "pairs": 8,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-31",
        "index": 100.204,
        "pairs": 9,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-01",
        "index": 100.204,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-02",
        "index": 100.204,
        "pairs": 11,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-03",
        "index": 100.204,
        "pairs": 9,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-04",
        "index": 100.204,
        "pairs": 9,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-05",
        "index": 100.204,
        "pairs": 10,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-06",
        "index": 100.204,
        "pairs": 10,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-07",
        "index": 100.204,
        "pairs": 10,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-08",
        "index": 100.204,
        "pairs": 10,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-09",
        "index": 100.204,
        "pairs": 10,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-10",
        "index": 100.204,
        "pairs": 12,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-11",
        "index": 100.204,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-12",
        "index": 100.204,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-13",
        "index": 100.204,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-14",
        "index": 100.204,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-15",
        "index": 100.204,
        "pairs": 13,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-16",
        "index": 100.204,
        "pairs": 14,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-17",
        "index": 100.204,
        "pairs": 14,
        "dayChangePct": 0
      }
    ],
    "latest": 100.204,
    "day_change_pct": 0,
    "methodology": "Chained daily price index, base 100 on the first priced scan day (29 Jun 2026). The overall index is the COMPOSITE of the four buyer-tier indices (individual / pro / team&sme / enterprise): each day it moves by the equal-weighted average of the tiers' moves. Each tier index is like-for-like — only agents priced on both consecutive scan days (per-agent ratios, geometric mean, clipped to [0.2, 5]) — so composition changes (agents revealing or hiding prices) can never move it."
  },
  "top_agents": [
    {
      "agent_id": "atom_mcp_server",
      "name": "ATOM Pricing Intelligence",
      "url": "https://a7om.com/mcp",
      "short_summary": "provides live AI inference pricing data and market intelligence through Model Context Protocol",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 500,
        "monthly_usd": 500,
        "headline": "Free tier, then from $500/mo",
        "summary": "Free tier, then from $500/mo. A7OM offers a free tier and a PRO subscription priced at $500/MO for expanded model and vendor intelligence capabilities."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "aws_pricing_calculator",
      "name": "delega.ai for AWS Pricing Calculator",
      "url": "https://calculator.delega.ai",
      "short_summary": "creates, edits, saves, and loads AWS Pricing Calculator estimates",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 45.13,
        "monthly_usd": 52.22,
        "headline": "From $45.13/mo",
        "summary": "From $45.13/mo. Monthly subscriptions start at €39 plus tax for individual users, with a €199 plus tax team plan and custom enterprise pricing."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "cost_model",
      "name": "//beforeyouship",
      "url": "https://beforeyouship.dev/docs#mcp",
      "short_summary": "models realistic monthly costs of LLM applications before deployment",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 5,
        "monthly_usd": 5,
        "headline": "Free tier, then from $5/mo",
        "summary": "Free tier, then from $5/mo. The core cost modeling tool is permanently free, while Pro costs $20/month or $16/month billed annually and an Export Pass costs $5 one time."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "modal_inference",
      "name": "Modal Inference",
      "url": "https://modal.com",
      "short_summary": "Provides cloud infrastructure to run AI inference, training, batch processing, and sandboxes with fast cold starts and GPU autoscaling",
      "price": {
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": 30,
        "monthly_usd": 30,
        "headline": "From $30/mo",
        "summary": "From $30/mo. Modal publicly shows a $30 monthly plan alongside additional usage-based pricing rates."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "optimization_qovery",
      "name": "Optimization Qovery",
      "url": "https://qovery.com/docs/copilot/capabilities/optimization",
      "short_summary": "Optimizes infrastructure costs, resource usage, and application configurations through analysis and recommendations, including automating cost reduction (e.g.…",
      "price": {
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Paid (price not published)",
        "summary": "Qovery offers Team and Business plans with usage-based pricing and an Enterprise plan with custom pricing; no public numeric rates are shown."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "thetokencompany",
      "name": "Thetokencompany",
      "url": "https://thetokencompany.com/",
      "short_summary": "compresses raw LLM inputs by stripping low-signal/filler tokens to reduce token count while preserving semantic intent",
      "price": {
        "observed": false,
        "billing": "unknown",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "The homepage exposes an offer of 0.30 USD, but does not state the billing period or pricing unit."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "token_optimizer",
      "name": "Token Optimizer",
      "url": "https://promptthin.tech",
      "short_summary": "Reduces LLM API costs via semantic caching, prompt compression, model routing, context pruning, and thinking budget optimization",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 11.99,
        "monthly_usd": 11.99,
        "headline": "From $11.99/mo",
        "summary": "From $11.99/mo. PromptThin offers a Pro subscription at $4.99 for the first month and $11.99/month thereafter, plus a limited 20-request trial and custom-priced Enterprise service."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "cedana",
      "name": "Cedana",
      "url": "https://cedana.ai/",
      "short_summary": "checkpoints, migrates, and resumes live GPU/CPU jobs across instances to increase throughput, reliability, and performance",
      "price": {
        "observed": false,
        "billing": "unknown",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "complexity_cost_calculator_mcp",
      "name": "Complexity Cost Calculator MCP",
      "url": "https://complexity-cost-calculator.beamercloud.com/",
      "short_summary": "calculates coupling and coordination overhead costs for engineering teams",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 29,
        "monthly_usd": 29,
        "headline": "Free tier, then from $29/mo",
        "summary": "Free tier, then from $29/mo. Offers a free plan with 100 requests per day and a Pro plan at $29/month with 10,000 requests per day and priority support."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "eco_optimizer",
      "name": "Eco-Optimizer",
      "url": "https://eco-optimizer-mcp.vercel.app",
      "short_summary": "Eco-Optimizer is a premium micro-service from the M2MCent factory, configured as a Model Context Protocol (MCP) server. Functionality: Enrutador Sostenible de…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [
    {
      "agent_id": "nvidia_ai",
      "name": "Agentic AI",
      "url": "https://nvidia.com/en-us/ai/",
      "short_summary": "Provides building blocks (models, blueprints, microservices, GPUs) for building, deploying, and managing AI agents that reason, plan, and act on enterprise data",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing or paid plans are shown on the NVIDIA AI homepage."
      },
      "home_niche": "enterprise-ai-platform",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "nvidia_triton",
      "name": "Nvidia Triton",
      "url": "https://nvidia.com/en-eu/ai/dynamo-triton",
      "short_summary": "Open-source inference server that standardizes AI model deployment and execution across workloads. Provides optimized serving for machine learning models with…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is shown for NVIDIA Triton Inference Server on the provided page."
      },
      "home_niche": "llm-serving-infrastructure",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "vibops",
      "name": "Vibops",
      "url": "https://vibops.ai",
      "short_summary": "AI agent that orchestrates GPU infrastructure, LLM routing, and agent governance across any vendor or cloud. Self-hosted, multi-tenant, open-core platform with…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public SaaS pricing or subscription plans were observed on the homepage."
      },
      "home_niche": "llm-serving-infrastructure",
      "also_covers": true,
      "upvotes": 0
    },
    {
      "agent_id": "wagner",
      "name": "Wagner",
      "url": "https://trywagner.dev",
      "short_summary": "Cloud infrastructure layer that organizes fragmented context for humans and AI agents to align on intent before deployment. Provides live cloud mapping, specia…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public price found on the vendor site."
      },
      "home_niche": "agent-orchestration-platform",
      "also_covers": true,
      "upvotes": 0
    }
  ],
  "page_url": "https://agentery.com/market/ai-compute-optimization-infra",
  "summary": {
    "niche": "ai-compute-optimization-infra",
    "sector": "developer-tools-infra",
    "pricing_by_provider_type": {
      "headline": "Prices differ by provider type and buyer tier — no blended headline is used. Strongest cohort: MCP servers · Pro median $29/mo (5 providers). See benchmarks_by_provider_type_and_tier for the full matrix.",
      "benchmarks": [
        {
          "provider_type": "mcp",
          "provider_type_label": "MCP servers",
          "buyer_tier": "pro",
          "buyer_tier_label": "Pro",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 5,
          "reliability": "medium",
          "median": 29,
          "p25": 20,
          "p75": 44.46,
          "status": "ok"
        },
        {
          "provider_type": "mcp",
          "provider_type_label": "MCP servers",
          "buyer_tier": "individual",
          "buyer_tier_label": "Individual",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 3,
          "reliability": "low",
          "median": 10,
          "p25": null,
          "p75": null,
          "status": "median_only"
        }
      ],
      "warnings": [
        "This niche currently has sufficient MCP pricing but insufficient agent pricing."
      ],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "ai-compute-optimization-infra"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/ai-compute-optimization-infra",
    "counts": {
      "listings_with_price_capture": 37,
      "listings_with_observed_public_price": 20,
      "providers_with_numeric_monthly_price_latest_scan": 12,
      "like_for_like_comparable_pairs": 12
    },
    "movement": {
      "d": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "w": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      },
      "m": {
        "published": false,
        "value_pct": null,
        "held_reason": null
      }
    },
    "pricing_version": "cohorts-1",
    "pricing_status": "ok",
    "pricing_by_tier": [
      {
        "tier": "individual",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 14.5,
        "provider_count": 4,
        "plan_observation_count": 4,
        "data_confidence": 0.31,
        "data_confidence_basis": {
          "provider_component": 0.33,
          "observation_component": 0.2,
          "provider_count": 4,
          "plan_observation_count": 4
        },
        "reliability": "low",
        "members": [
          {
            "provider": "vetted_consumer",
            "usd": 10
          },
          {
            "provider": "whichmodel_mcp",
            "usd": 10
          },
          {
            "provider": "energyai",
            "usd": 19
          },
          {
            "provider": "modal_inference",
            "usd": 30
          }
        ]
      },
      {
        "tier": "pro",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 29,
        "provider_count": 5,
        "plan_observation_count": 5,
        "data_confidence": 0.38,
        "data_confidence_basis": {
          "provider_component": 0.42,
          "observation_component": 0.25,
          "provider_count": 5,
          "plan_observation_count": 5
        },
        "reliability": "medium",
        "members": [
          {
            "provider": "token_optimizer",
            "usd": 11.99
          },
          {
            "provider": "cost_model",
            "usd": 20
          },
          {
            "provider": "complexity_cost_calculator_mcp",
            "usd": 29
          },
          {
            "provider": "aws_pricing_calculator",
            "usd": 44.46
          },
          {
            "provider": "atom_mcp_server",
            "usd": 500
          }
        ],
        "p25": 20,
        "p75": 44.46
      },
      {
        "tier": "team_sme",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 129.96,
        "provider_count": 2,
        "plan_observation_count": 2,
        "data_confidence": 0.15,
        "data_confidence_basis": {
          "provider_component": 0.17,
          "observation_component": 0.1,
          "provider_count": 2,
          "plan_observation_count": 2
        },
        "reliability": "low",
        "members": [
          {
            "provider": "edgee",
            "usd": 33.06
          },
          {
            "provider": "aws_pricing_calculator",
            "usd": 226.86
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 37,
      "listings_with_observed_public_price": 20,
      "normalized_observations": 12,
      "comparable_providers": 11,
      "strict_cohorts": 3,
      "exclusion_reasons": {
        "usage_not_monthly": 18,
        "one_time": 3,
        "ambiguous_cadence": 6,
        "free_or_zero": 2
      }
    },
    "pricing_note": "Provider-deduped, FX-normalized monthly medians, separated by buyer tier AND billing unit (flat/per_seat/per_user/per_agent) — incompatible units are never blended. Ranges (p25/p75) only at >=5 providers; data_confidence is provider-count-weighted. Usage-metered, promo, range, one-time and ambiguous-cadence plans are excluded.",
    "pricing_excluded_observations": {
      "usage_not_monthly": 18,
      "one_time": 3,
      "ambiguous_cadence": 6,
      "free_or_zero": 2
    },
    "billing_mix": {
      "freemium": 8,
      "free": 4,
      "usage": 4,
      "one-time": 1,
      "subscription": 2,
      "contact_sales": 1
    },
    "free_tier_share": 0.6,
    "top_providers": [
      {
        "agent_id": "atom_mcp_server",
        "name": "ATOM Pricing Intelligence",
        "price": {
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 500,
          "monthly_usd": 500,
          "headline": "Free tier, then from $500/mo",
          "summary": "Free tier, then from $500/mo. A7OM offers a free tier and a PRO subscription priced at $500/MO for expanded model and vendor intelligence capabilities."
        },
        "observed": true
      },
      {
        "agent_id": "aws_pricing_calculator",
        "name": "delega.ai for AWS Pricing Calculator",
        "price": {
          "observed": true,
          "billing": "subscription",
          "lowest_monthly_usd": 45.13,
          "monthly_usd": 52.22,
          "headline": "From $45.13/mo",
          "summary": "From $45.13/mo. Monthly subscriptions start at €39 plus tax for individual users, with a €199 plus tax team plan and custom enterprise pricing."
        },
        "observed": true
      },
      {
        "agent_id": "cost_model",
        "name": "//beforeyouship",
        "price": {
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 5,
          "monthly_usd": 5,
          "headline": "Free tier, then from $5/mo",
          "summary": "Free tier, then from $5/mo. The core cost modeling tool is permanently free, while Pro costs $20/month or $16/month billed annually and an Export Pass costs $5 one time."
        },
        "observed": true
      },
      {
        "agent_id": "modal_inference",
        "name": "Modal Inference",
        "price": {
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": 30,
          "monthly_usd": 30,
          "headline": "From $30/mo",
          "summary": "From $30/mo. Modal publicly shows a $30 monthly plan alongside additional usage-based pricing rates."
        },
        "observed": true
      },
      {
        "agent_id": "optimization_qovery",
        "name": "Optimization Qovery",
        "price": {
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Paid (price not published)",
          "summary": "Qovery offers Team and Business plans with usage-based pricing and an Enterprise plan with custom pricing; no public numeric rates are shown."
        },
        "observed": true
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "ai-compute-optimization-infra"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "ai-compute-optimization-infra",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "atom_mcp_server"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "atom_mcp_server"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}