Trademark Search

{
  "niche": "trademark-search",
  "parent_sector": "legal",
  "provider_type_pricing": {
    "slug": "trademark-search",
    "pricing_basis": "lowest_observed_monthly_usd",
    "provider_type_methodology": "commercial-form-v2",
    "provider_type_methodology_published_at": "2026-07-31",
    "blended": {
      "median": 138.25,
      "p25": null,
      "p75": null,
      "providers": 4
    },
    "by_provider_type": {
      "agent": {
        "median": null,
        "p25": null,
        "p75": null,
        "providers": 2,
        "publishable": false,
        "confidence": "insufficient",
        "reason": "Fewer than three comparable priced Agent-economy products are available."
      },
      "mcp": {
        "median": null,
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        "p75": null,
        "providers": 2,
        "publishable": false,
        "confidence": "insufficient",
        "reason": "Fewer than three comparable priced MCP servers are available."
      }
    },
    "recommended_cohort": null,
    "recommendation_reason": "Choose the cohort according to the commercial delivery type being assessed.",
    "fallback_context": null,
    "context_note": null
  },
  "crowding_level": "empty",
  "observed_node_count": 0,
  "adjacent_niches": [
    "e-discovery-review",
    "contract-clause-extraction",
    "ma-diligence-document-review",
    "real-estate-transaction-docs",
    "ai-paralegal-agent",
    "litigation-analysis"
  ],
  "market_pulse": {
    "pulse": 62,
    "drivers": [
      "enterprise money present",
      "11 new builders in 30d"
    ],
    "price_move_30d_pct": null,
    "money_share": 0.42857142857142855,
    "entry_rate": 0.5789473684210527,
    "alive_share": 1
  },
  "price_move": {
    "d_pct": 0,
    "w_pct": 0,
    "m_pct": 0,
    "comparable_agents": 3,
    "quarantined_agents": 1,
    "confidence": "high",
    "published": {
      "d": false,
      "w": false,
      "m": false
    },
    "held_reason": {
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    "tier_contribution": {
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      "w": {
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      },
      "m": {
        "individual": 0,
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        "enterprise": 0
      }
    },
    "tier_series": {
      "individual": [
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      "pro": [
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      "team_sme": [
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      ],
      "enterprise": [
        100,
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    },
    "tier_own_move": {
      "d": {
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        "enterprise": 0
      },
      "w": {
        "individual": 0,
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      },
      "m": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      }
    },
    "tier_agents": {
      "individual": 1,
      "pro": 1,
      "team_sme": 3,
      "enterprise": 1
    },
    "obs_range": {
      "d": null,
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    },
    "tier_obs_range": {
      "d": {
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      "w": {
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      },
      "m": {
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      }
    }
  },
  "pricing": {
    "sampleSize": 14,
    "observed": 7,
    "byPersona": {
      "free": {
        "n": 3,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
        "p75": null,
        "min": null,
        "max": null,
        "usageShare": 0
      },
      "individual": {
        "n": 2,
        "nPriced": 2,
        "reliability": "low",
        "median": 0.63,
        "p25": 0.44,
        "p75": 0.81,
        "min": 0.25,
        "max": 1,
        "usageShare": 1
      },
      "pro": {
        "n": 2,
        "nPriced": 1,
        "reliability": "none",
        "median": 19,
        "p25": 19,
        "p75": 19,
        "min": 19,
        "max": 19,
        "usageShare": 0
      },
      "team_sme": {
        "n": 3,
        "nPriced": 2,
        "reliability": "low",
        "median": 133.25,
        "p25": 96.13,
        "p75": 170.38,
        "min": 59,
        "max": 207.5,
        "usageShare": 0
      },
      "enterprise": {
        "n": 3,
        "nPriced": 2,
        "reliability": "low",
        "median": 832.5,
        "p25": 624.17,
        "p75": 1040.84,
        "min": 415.83,
        "max": 1249.17,
        "usageShare": 0
      }
    },
    "byPersonaMonthly": {
      "free": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "individual": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 1,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "pro": {
        "nMonthly": 1,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "team_sme": {
        "nMonthly": 2,
        "p25": 96.13,
        "median": 133.25,
        "p75": 170.38,
        "confidence": "low",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": true
      },
      "enterprise": {
        "nMonthly": 2,
        "p25": 624.17,
        "median": 832.5,
        "p75": 1040.84,
        "confidence": "low",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": true
      }
    },
    "byTierCohorts": {
      "status": "ok",
      "cohorts": [
        {
          "tier": "team_sme",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 133.25,
          "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": "brandmity",
              "usd": 59
            },
            {
              "provider": "tmcopilot",
              "usd": 207.5
            }
          ]
        }
      ],
      "rejected": {
        "one_time": 2,
        "usage_not_monthly": 2,
        "unrankable_or_unparseable": 1
      },
      "evidence": {
        "status": "ok",
        "single_observations": [],
        "observed_offers": [
          {
            "billing": "monthly",
            "unit": "flat",
            "count": 5,
            "offers": [
              {
                "provider": "brandmity",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$19 /mo",
                "monthly_usd": 19
              },
              {
                "provider": "brandmity",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$59 /mo",
                "monthly_usd": 59
              },
              {
                "provider": "tmcopilot",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$2490/year",
                "monthly_usd": 207.5
              },
              {
                "provider": "tmcopilot",
                "tier": "enterprise",
                "billing": "monthly",
                "unit": "flat",
                "price": "$4990/year",
                "monthly_usd": 415.83
              },
              {
                "provider": "tmcopilot",
                "tier": "enterprise",
                "billing": "monthly",
                "unit": "flat",
                "price": "From $14990/year",
                "monthly_usd": 1249.17
              }
            ]
          },
          {
            "billing": "one_time",
            "unit": "flat",
            "count": 2,
            "offers": [
              {
                "provider": "etymolt_mcp_server",
                "tier": "team_sme",
                "billing": "one_time",
                "unit": "flat",
                "price": "$499",
                "monthly_usd": null
              },
              {
                "provider": "tmready_us_tm_search",
                "tier": "pro",
                "billing": "one_time",
                "unit": "flat",
                "price": "$69.00",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "usage",
            "unit": "flat",
            "count": 2,
            "offers": [
              {
                "provider": "etymolt_mcp_server",
                "tier": "individual",
                "billing": "usage",
                "unit": "flat",
                "price": "$1 per verdict",
                "monthly_usd": null
              },
              {
                "provider": "etymolt_mcp_server",
                "tier": "individual",
                "billing": "usage",
                "unit": "flat",
                "price": "$0.25 per verdict",
                "monthly_usd": null
              }
            ]
          }
        ],
        "coverage": {
          "priced_providers": 4,
          "normalized_observations": 5,
          "comparable_providers": 2,
          "strict_cohorts": 1,
          "exclusion_reasons": {
            "one_time": 2,
            "usage_not_monthly": 2,
            "unrankable_or_unparseable": 1
          }
        }
      }
    },
    "billingMix": {
      "freemium": 2,
      "subscription": 1,
      "one-time": 1,
      "contact_sales": 1,
      "free": 1,
      "usage": 1
    },
    "freeTierShare": 0.43,
    "medianLowestUsd": 138.25
  },
  "movement": {
    "niche": "trademark-search",
    "sector": "legal",
    "pricedNow": 4,
    "pairs": 4,
    "repriced": [
      {
        "handle": "tmready_us_tm_search",
        "from": 29,
        "to": 69,
        "pct": 137.9
      }
    ],
    "newlyPriced": [],
    "droppedFromPriced": [],
    "likeForLikePct": 24.2,
    "kind": "repricing",
    "narrative": "Genuine repricing: 1 agent repriced — all up (avg +24.2%)."
  },
  "index_series": {
    "series": [
      {
        "day": "2026-07-08",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-09",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-10",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-11",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-12",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-13",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-14",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-15",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-16",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-17",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-18",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-19",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-20",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-21",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-22",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-23",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-24",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-25",
        "index": 100,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-26",
        "index": 100,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-27",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-28",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-29",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-30",
        "index": 100,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-07-31",
        "index": 100,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-01",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-02",
        "index": 100,
        "pairs": 6,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-03",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-04",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-05",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      },
      {
        "day": "2026-08-06",
        "index": 100,
        "pairs": 5,
        "dayChangePct": 0
      }
    ],
    "latest": 100,
    "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": "etymolt_mcp_server",
      "name": "Etymolt",
      "url": "https://www.etymolt.com",
      "short_summary": "verifies brand names across USPTO trademarks, domains, and social handles",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 499,
        "monthly_usd": 499,
        "headline": "Free tier, then from $499/mo",
        "summary": "Free tier, then from $499/mo. Etymolt offers a permanent free tier, a $499 one-time Forge dossier, usage-based API pricing shown as $1 per verdict on the pricing page and $0.25 per verdict on the homepage, plus custom annual Platform pricing."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "logoscout",
      "name": "LogoScout",
      "url": "https://logoscout-mcp.vercel.app",
      "short_summary": "LogoScout is a premium micro-service from the M2MCent factory, configured as a Model Context Protocol (MCP) server. Functionality: Auditor de Marcas y Propieda…",
      "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
    },
    {
      "agent_id": "trademark",
      "name": "Trademark",
      "url": "https://www.goalieip.com/mcp",
      "short_summary": "Give Claude, Cursor, or any MCP client direct access to 14M+ US federal trademark records. One URL, bearer-token auth, and your agent can search the register a…",
      "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": "hive_mark",
      "name": "Hive Mark",
      "url": "https://smithery.ai/server/srotzin-adqm/hive-mark",
      "short_summary": "Attest trademark first-use with a dual-signed cryptographic receipt. Ed25519 + ML-DSA-65 (FIPS 204) envelope records mark_text + brand_owner_did + first-use ti…",
      "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": "low",
      "upvotes": 0
    },
    {
      "agent_id": "aircounsel",
      "name": "Aircounsel",
      "url": "https://aircounsel.com/usa/usa-free-ai-trademark-search",
      "short_summary": "AI-powered US trademark search that checks USPTO and common-law sources, recommends relevant Nice classes, grades potential conflicts, and provides registrabil…",
      "price": {
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "The US AI trademark search is offered free with instant analysis and conflict identification."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "brandmity",
      "name": "Brandmity",
      "url": "https://brandmity.com/developers/mcp",
      "short_summary": "Hosted MCP server that lets AI agents search live USPTO trademark records and check name availability with clearance scoring and suggested filing classes.",
      "price": {
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 19,
        "monthly_usd": 19,
        "headline": "Free tier, then from $19/mo",
        "summary": "Free tier, then from $19/mo. Brandmity offers unlimited free trademark searches, with Pro at $19 per month and Agency at $59 per month for monitoring, reports, API access, and team features."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "huski_ai",
      "name": "Huski Ai",
      "url": "https://huski.ai/solutions/trademark-search-cost",
      "short_summary": "AI-powered trademark and brand protection software for lawyers and brand owners, offering trademark search, conflict monitoring, eCommerce threat detection, im…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "The pricing page advertises a 7-day free trial but does not show public subscription prices."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "marker_trademark_api",
      "name": "Marker Trademark",
      "url": "https://jentic.com/apis/markerapi.com/marker",
      "short_summary": "HTTP API for searching US USPTO trademark records by serial number, name, description, owner, status, or expiration timeframe. Provides five endpoints with pag…",
      "price": {
        "observed": false,
        "billing": "freemium",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "Jentic offers a free Core Edition for public API integrations, while Enterprise Edition pricing is available through sales."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "reich_tools_mcp",
      "name": "Reich Tools",
      "url": "https://github.com/sreichsbb-stack/reich-tools-mcp",
      "short_summary": "Remote MCP server providing structured trademark name-clearance verdicts and US stock trading signals for AI agents, with deterministic JSON responses, failure…",
      "price": {
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Paid (price not published)",
        "summary": "The MCP server publicly lists usage-based pricing of $0.10 per name-clearance verdict and $0.015 per stock signal."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    },
    {
      "agent_id": "tmcopilot",
      "name": "Tmcopilot",
      "url": "https://tmcopilot.ai/",
      "short_summary": "AI-powered trademark intelligence workspace for legal and brand teams. Searches and clears marks across global registries, monitors portfolios and competitors,…",
      "price": {
        "observed": true,
        "billing": "subscription",
        "lowest_monthly_usd": 207.5,
        "monthly_usd": 207.5,
        "headline": "From $207.5/mo",
        "summary": "From $207.5/mo. Public pricing is shown annually from $2,490/year for Team, with monthly billing available on request and additional usage or seat charges on some plans."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [],
  "page_url": "https://agentery.com/market/trademark-search",
  "summary": {
    "niche": "trademark-search",
    "sector": "legal",
    "pricing_by_provider_type": {
      "headline": "No published benchmark for trademark-search yet — too few comparable priced providers.",
      "benchmarks": [],
      "warnings": [
        "No priced providers meet the benchmark bar for this scope."
      ],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "trademark-search"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/trademark-search",
    "counts": {
      "listings_with_price_capture": 14,
      "listings_with_observed_public_price": 7,
      "providers_with_numeric_monthly_price_latest_scan": 4,
      "like_for_like_comparable_pairs": 4
    },
    "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": "team_sme",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 133.25,
        "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": "brandmity",
            "usd": 59
          },
          {
            "provider": "tmcopilot",
            "usd": 207.5
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 14,
      "listings_with_observed_public_price": 7,
      "normalized_observations": 5,
      "comparable_providers": 2,
      "strict_cohorts": 1,
      "exclusion_reasons": {
        "one_time": 2,
        "usage_not_monthly": 2,
        "unrankable_or_unparseable": 1
      }
    },
    "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": {
      "one_time": 2,
      "usage_not_monthly": 2,
      "unrankable_or_unparseable": 1
    },
    "billing_mix": {
      "freemium": 2,
      "subscription": 1,
      "one-time": 1,
      "contact_sales": 1,
      "free": 1,
      "usage": 1
    },
    "free_tier_share": 0.43,
    "top_providers": [
      {
        "agent_id": "etymolt_mcp_server",
        "name": "Etymolt",
        "price": {
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 499,
          "monthly_usd": 499,
          "headline": "Free tier, then from $499/mo",
          "summary": "Free tier, then from $499/mo. Etymolt offers a permanent free tier, a $499 one-time Forge dossier, usage-based API pricing shown as $1 per verdict on the pricing page and $0.25 per verdict on the homepage, plus custom annual Platform pricing."
        },
        "observed": true
      },
      {
        "agent_id": "logoscout",
        "name": "LogoScout",
        "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."
        },
        "observed": false
      },
      {
        "agent_id": "trademark",
        "name": "Trademark",
        "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."
        },
        "observed": false
      },
      {
        "agent_id": "hive_mark",
        "name": "Hive Mark",
        "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."
        },
        "observed": false
      },
      {
        "agent_id": "aircounsel",
        "name": "Aircounsel",
        "price": {
          "observed": true,
          "billing": "free",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Free",
          "summary": "The US AI trademark search is offered free with instant analysis and conflict identification."
        },
        "observed": true
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "trademark-search"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "trademark-search",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "etymolt_mcp_server"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "etymolt_mcp_server"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}