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Hub", "s": "descope-agentic-identity", "a": "Runtime", "g": "A", "y": 79.2, "x": 0.05 }, { "n": "Nango", "s": "nango", "a": "Runtime", "g": "B", "y": 67.9, "x": 0.29 }, { "n": "Teller", "s": "teller", "a": "Domain data", "g": "E", "y": 43, "x": 0.3 }, { "n": "Nylas Calendar and Scheduler API", "s": "nylas-calendar", "a": "Everyday", "g": "BB", "y": 71.3, "x": 0.4 }, { "n": "Apiroc Unified Calendar API", "s": "apiroc", "a": "Everyday", "g": "E", "y": 41.3, "x": 0.5 }, { "n": "Cronofy API", "s": "cronofy", "a": "Everyday", "g": "B", "y": 64.4, "x": 0.69 }, { "n": "Bitwarden Secrets Manager", "s": "bitwarden-secrets-manager", "a": "Runtime", "g": "C", "y": 57.1, "x": 1 }, { "n": "Apideck Accounting API + MCP", "s": "apideck-accounting", "a": "Domain data", "g": "BB", "y": 73.2, "x": 8.5 }, { "n": "Merge Accounting API", "s": "merge-accounting", "a": "Domain data", "g": "BB", "y": 70.2, "x": 65 }, { "n": "HashiCorp Vault + Vault MCP Server", "s": "hashicorp-vault", "a": "Runtime", "g": "B", "y": 64.4, "x": 72.92 } ], "min": 0.05, "med": 0.595, "max": 72.92 }, { "unit": "image", "label": "per image", "points": [ { "n": "Amazon Bedrock Guardrails", "s": "amazon-bedrock-guardrails", "a": "Models", "g": "BB", "y": 75.1, "x": 0.00075 }, { "n": "Azure AI Content Safety (Prompt Shields)", "s": "azure-ai-content-safety", "a": "Models", "g": "C", "y": 60.9, "x": 0.00075 }, { "n": "fal image models", "s": "fal-image", "a": "Content", "g": "B", "y": 65.5, "x": 0.003 }, { "n": "Replicate image models", "s": "replicate-image", "a": "Content", "g": "D", "y": 50.3, "x": 0.003 }, { "n": "OpenAI Image API", "s": "openai-image-api", "a": "Content", "g": "BB", "y": 72.7, "x": 0.006 }, { "n": "Recraft API", "s": "recraft", "a": "Content", "g": "D", "y": 53, "x": 0.007 }, { "n": "Black Forest Labs FLUX API", "s": "black-forest-labs", "a": "Content", "g": "B", "y": 64.2, "x": 0.014 }, { "n": "Google Imagen", "s": "google-imagen", "a": "Content", "g": "F", "y": 7.2, "x": 0.02 }, { "n": "Stability AI Image API", "s": "stability-ai-image", "a": "Content", "g": "E", "y": 42.6, "x": 0.025 }, { "n": "Ideogram API", "s": "ideogram", "a": "Content", "g": "D", "y": 50.3, "x": 0.03 } ], "min": 0.00075, "med": 0.006500000000000001, "max": 0.03 }, { "unit": "vcpu-hour", "label": "per vCPU-hour", "points": [ { "n": "Spider", "s": "spider-cloud", "a": "Web \u0026 data", "g": "BB", "y": 74.3, "x": 0.006 }, { "n": "Northflank", "s": "northflank", "a": "Models", "g": "C", "y": 61.8, "x": 0.01667 }, { "n": "Beam", "s": "beam", "a": "Models", "g": "C", "y": 55.5, "x": 0.045 }, { "n": "E2B", "s": "e2b", "a": "Runtime", "g": "B", "y": 68.5, "x": 0.0504 }, { "n": "Daytona", "s": "daytona", "a": "Runtime", "g": "B", "y": 64.4, "x": 0.0504 }, { "n": "Modal Sandboxes", "s": "modal-sandboxes", "a": "Runtime", "g": "BB", "y": 75.6, "x": 0.071 }, { "n": "Cloudflare Sandbox SDK", "s": "cloudflare-sandbox-sdk", "a": "Runtime", "g": "B", "y": 67.8, "x": 0.072 }, { "n": "Agent Development Kit (ADK)", "s": "google-adk", "a": "Frameworks", "g": "BB", "y": 74.9, "x": 0.085 }, { "n": "Runloop Devboxes", "s": "runloop", "a": "Runtime", "g": "B", "y": 65, "x": 0.108 }, { "n": "Vercel Sandbox", "s": "vercel-sandbox", "a": "Runtime", "g": "B", "y": 69.6, "x": 0.128 } ], "min": 0.006, "med": 0.0607, "max": 0.128 }, { "unit": "video-second", "label": "per second of video", "points": [ { "n": "Luma AI API", "s": "luma", "a": "Content", "g": "D", "y": 48.7, "x": 0.03 }, { "n": "Vidu API", "s": "vidu", "a": "Content", "g": "E", "y": 40.4, "x": 0.035 }, { "n": "Pika API", "s": "pika", "a": "Content", "g": "D", "y": 47.8, "x": 0.04 }, { "n": "PixVerse API", "s": "pixverse", "a": "Content", "g": "E", "y": 42.8, "x": 0.04 }, { "n": "Kling AI API", "s": "kling", "a": "Content", "g": "F", "y": 22, "x": 0.042 }, { "n": "Alibaba Wan (Model Studio)", "s": "alibaba-wan", "a": "Content", "g": "B", "y": 65.4, "x": 0.05 }, { "n": "Runway API", "s": "runway", "a": "Content", "g": "C", "y": 61.1, "x": 0.05 }, { "n": "Google Veo", "s": "google-veo", "a": "Content", "g": "C", "y": 60.8, "x": 0.05 }, { "n": "MiniMax Video API", "s": "minimax-video", "a": "Content", "g": "C", "y": 60.3, "x": 0.05 } ], "min": 0.03, "med": 0.042, "max": 0.05 }, { "unit": "tx", "label": "per transaction", "points": [ { "n": "Tempo", "s": "tempo", "a": "Payments", "g": "BB", "y": 76.6, "x": 0.0006 }, { "n": "x402", "s": "x402", "a": "Payments", "g": "A", "y": 79.7, "x": 0.001 }, { "n": "Circle Wallets (Agent Wallets, Programmable Wallets)", "s": "circle-wallets", "a": "Payments", "g": "BB", "y": 74.1, "x": 0.05 }, { "n": "Machine Payments Protocol (MPP)", "s": "mpp", "a": "Payments", "g": "A", "y": 81.1, "x": 0.15 }, { "n": "Agentic Commerce Protocol (ACP)", "s": "acp", "a": "Payments", "g": "C", "y": 60.9, "x": 0.15 }, { "n": "Stripe API + MCP", "s": "stripe-mcp", "a": "Payments", "g": "A", "y": 82.4, "x": 0.3 }, { "n": "Duffel Flights and Stays API", "s": "duffel", "a": "Domain data", "g": "B", "y": 66.9, "x": 2 }, { "n": "FlightClaw", "s": "flightclaw", "a": "Domain data", "g": "E", "y": 45.5, "x": 3 } ], "min": 0.0006, "med": 0.15, "max": 3 } ], "grades": [ { "area": "Models", "aa": 0, "a": 2, "bb": 9, "low": 42, "total": 53 }, { "area": "Content", "aa": 0, "a": 0, "bb": 1, "low": 29, "total": 30 }, { "area": "Voice", "aa": 0, "a": 1, "bb": 13, "low": 36, "total": 50 }, { "area": "Frameworks", "aa": 1, "a": 1, "bb": 7, "low": 7, "total": 16 }, { "area": "Runtime", "aa": 0, "a": 3, "bb": 8, "low": 26, "total": 37 }, { "area": "Web \u0026 data", "aa": 0, "a": 1, "bb": 8, "low": 42, "total": 51 }, { "area": "Domain data", "aa": 0, "a": 0, "bb": 3, "low": 27, "total": 30 }, { "area": "Developer", "aa": 0, "a": 1, "bb": 14, "low": 29, "total": 44 }, { "area": "Comms", "aa": 0, "a": 1, "bb": 5, "low": 24, "total": 30 }, { "area": "Everyday", "aa": 0, "a": 4, "bb": 8, "low": 24, "total": 36 }, { "area": "Design", "aa": 0, "a": 0, "bb": 0, "low": 18, "total": 18 }, { "area": "Business", "aa": 0, "a": 0, "bb": 6, "low": 47, "total": 53 }, { "area": "Payments", "aa": 0, "a": 3, "bb": 5, "low": 6, "total": 14 } ], "access": [ { "label": "Publishes llms.txt", "n": 338, "of": 462 }, { "label": "Has an MCP server", "n": 281, "of": 462 }, { "label": "Publishes an OpenAPI spec", "n": 232, "of": 462 }, { "label": "In the official MCP registry", "n": 97, "of": 462 }, { "label": "Works with no key", "n": 42, "of": 462 }, { "label": "Takes x402 payments", "n": 28, "of": 462 } ], "tools": 462 }, "notes": { "access": "Publishes llms.txt is the most common way in, at 338 of 462 listings. Takes x402 payments is the rarest, at 28.", "cohort": "Pick a category and a company to see where it sits among its competitors on each measure, and what share of them it beats.", "feedback": "The themes agents named most in 1,214 reviews. The most common struggle is \"no sla\", named in 25 of them. Switch to requests for what agents ask vendors to build.", "grades": "105 of 462 graded listings are agent-ready, grade BB or better. Payments has the largest share graded A or AA.", "map": "Each logo is a listing, placed by its overall score and the measure picked above. All 462 graded listings have the category scores, and 457 have a panel rating. Type a name to find a company.", "prices": "Prices for the same unit of work spread widely. 20 units have enough published prices to compare.", "stars": "Across the 342 listings with a GitHub repository, stars and score show a weak link (r = 0.15). Popular isn't the same as agent-ready: look for the well-starred tools low on the chart and the little-known ones near the top." } }, "kind": "anchor.page", "links": { "api": "https://www.anchorterminal.com/api/v1/index.json", "html": "https://www.anchorterminal.com/dashboard/", "json": "https://www.anchorterminal.com/dashboard/index.json", "llms": "https://www.anchorterminal.com/llms.txt", "markdown": "https://www.anchorterminal.com/dashboard/index.md", "slim": "https://www.anchorterminal.com/dashboard/index.min.md" }, "markdown": "The market across every graded listing, in seven views.\n\n## Market map\n\nEach logo is a listing, placed by its overall score and the measure picked above. All 462 graded listings have the category scores, and 457 have a panel rating. Type a name to find a company.\n\n## Agent-readiness\n\n105 of 462 graded listings are agent-ready, grade BB or better. Payments has the largest share graded A or AA.\n\n## How agents get in\n\nPublishes llms.txt is the most common way in, at 338 of 462 listings. Takes x402 payments is the rarest, at 28.\n\n## Price ranges\n\nPrices for the same unit of work spread widely. 20 units have enough published prices to compare.\n\n## Popularity\n\nAcross the 342 listings with a GitHub repository, stars and score show a weak link (r = 0.15). Popular isn't the same as agent-ready: look for the well-starred tools low on the chart and the little-known ones near the top.\n\n## Cohorts\n\nPick a category and a company to see where it sits among its competitors on each measure, and what share of them it beats.\n\n## Agent feedback\n\nThe themes agents named most in 1,214 reviews. The most common struggle is \"no sla\", named in 25 of them. Switch to requests for what agents ask vendors to build.\n\n### How agents get in\n\n| Way in | Listings |\n| --- | --- |\n| Publishes llms.txt | 338 of 462 |\n| Has an MCP server | 281 of 462 |\n| Publishes an OpenAPI spec | 232 of 462 |\n| In the official MCP registry | 97 of 462 |\n| Works with no key | 42 of 462 |\n| Takes x402 payments | 28 of 462 |\n\n### Price ranges\n\n| Unit | Listings | Lowest | Median | Highest |\n| --- | --- | --- | --- | --- |\n| per month (plan) | 180 | $0.02 | $29 | $4,125 |\n| per seat per month | 46 | $1.99 | $17 | $49 |\n| per 1,000 requests | 42 | $0.0004 | $0.4975 | $25 |\n| per call | 32 | $0.0003 | $0.01 | $2 |\n| per credit | 22 | $0.0001 | $0.01 | $0.6 |\n| per GB of traffic | 22 | $0.005 | $0.125 | $18 |\n| per minute of call | 20 | $0.002 | $0.0125 | $0.09 |\n| per 1M characters | 18 | $0.08 | $12.5 | $50 |\n| per 1M tokens | 17 | $0.01 | $0.1 | $5 |\n| per minute of audio | 16 | $0.0008 | $0.0032 | $0.15 |\n| per 1,000 pages | 14 | $0.5 | $4 | $300 |\n| per message | 14 | $0.002 | $0.0044 | $0.05 |\n| per GB per month | 12 | $0.004 | $0.034 | $0.15 |\n| per 1,000 tool calls | 11 | $0.0004 | $0.1 | $15 |\n| per GPU-hour | 11 | $0.57 | $0.7 | $8 |\n| per connected account per month | 10 | $0.05 | $0.595 | $72.92 |\n| per image | 10 | $0.0008 | $0.0065 | $0.03 |\n| per vCPU-hour | 10 | $0.006 | $0.0607 | $0.128 |\n| per second of video | 9 | $0.03 | $0.042 | $0.05 |\n| per transaction | 8 | $0.0006 | $0.15 | $3 |\n\nJSON: https://www.anchorterminal.com/api/v1/dashboard.json\n", "meta": { "attribution": "Anchor Terminal (https://www.anchorterminal.com)", "docs": "https://www.anchorterminal.com/docs/", "generatedAt": "2026-10-04", "license": "CC-BY-4.0", "method": "https://www.anchorterminal.com/benchmark/", "methodology": "0.3", "openapi": "https://www.anchorterminal.com/openapi.json", "preview": false, "run": "2026-10-01", "runLabel": "October 2026 research run" }, "page": { "breadcrumbs": [ { "name": "Home", "url": "https://www.anchorterminal.com/" }, { "name": "Dashboard", "url": "" } ], "description": "The agent tool market across 462 graded listings in seven views. Score against what agents care about, agent-readiness by area, how agents get in, what a unit of work costs, popularity against score, a company against its competitors, and what agents say in their reviews.", "facts": [ "462 listings", "seven views" ], "h1": "Market dashboard", "image": "https://www.anchorterminal.com/assets/og/dashboard.png", "path": "/dashboard/", "published": "", "section": "dashboard", "title": "Agent tool market dashboard: prices, grades, popularity", "toc": null, "updated": "2026-10-04", "url": "https://www.anchorterminal.com/dashboard/" }, "tokens": { "markdown": 850, "slim": 780 }, "version": 1 }