~ · home · consumer-personal ai-nutritionist · 13

AI Nutritionist

Query this niche via MCPmarket_report({ query: "AI Nutritionist", response_mode: "summary" })
active marketmarket pulse 56/100commercial money present0 new builders in 30d13 listings
basis: all observed monthly plans · commercial-form-v2
Agents · median
$499/mo
2 providers · median of every priced plan point, all tiers · thin evidence
MCP servers · median
None priced — too few for a MCP servers median.

All plans — Agents vs MCPs

each dot = one provider · log scale
Agents $499
Nutritionist Bot · $55
Calorie Count Ai Agent · $499
$50
$100
$250
$500
AgentsMCP serversshaded = middle half · line = median

All plans

2 priced
Providervs its cohort medianMonthly
Nutritionist Botagent
$55 below
Calorie Count Ai Agentagent
$499 ~median
Position is relative to the provider's own delivery-type median at this tier — never a blended one.
What the figures on this page are. This page is Agentery's fixed-niche view of AI Nutritionist (latest observation 2026-10-26T04:18:57.627Z). The headline medians above are computed from that data per delivery type and buyer-tier tab: on a tier tab, the median of each provider's plan at that tier; on “All”, every priced plan point across tiers pooled. Small cohorts show as “too few” rather than a median. The embedded response below is the broader fixed-niche report: its by_provider_type.*.median pools all tiers, pricing.byPersona.* is per buyer tier, and the unit cohorts (e.g. Pro flat) are per tier and billing unit — so those blocks legitimately differ from one headline figure. Over MCP today the advertised tools are market_report (a semantic neighbourhood for your query, not this fixed niche) and price_benchmark (query/task); niche_report stays callable as a legacy alias. Their cohorts are defined differently, so their numbers can differ from this page.
market_reportprice_benchmark
See the MCP response behind this pagefixed-niche report (legacy niche_report alias, full mode) — broader than the headline figure
{
  "niche": "ai-nutritionist",
  "parent_sector": "consumer-personal",
  "provider_type_pricing": {
    "slug": "ai-nutritionist",
    "pricing_basis": "lowest_observed_monthly_usd",
    "provider_type_methodology": "commercial-form-v2",
    "provider_type_methodology_published_at": "2026-07-31",
    "blended": {
      "median": 254.5,
      "p25": null,
      "p75": null,
      "providers": 2
    },
    "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,
        "p25": null,
        "p75": null,
        "providers": 0,
        "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": [
    "ai-tax-prep-consumer",
    "visa-immigration-consumer",
    "mental-health-companion",
    "ai-legal-assistant-consumer",
    "local-ai-platform",
    "ai-gardening-assistant"
  ],
  "market_pulse": {
    "pulse": 56,
    "drivers": [
      "enterprise money present",
      "2 new builders in 30d"
    ],
    "price_move_30d_pct": null,
    "money_share": 0.4,
    "entry_rate": 0.1111111111111111,
    "alive_share": 1
  },
  "price_move": {
    "d_pct": 0,
    "w_pct": 0,
    "m_pct": 0,
    "comparable_agents": 2,
    "quarantined_agents": 0,
    "confidence": "thin",
    "published": {
      "d": false,
      "w": false,
      "m": false
    },
    "held_reason": {
      "d": null,
      "w": null,
      "m": null
    },
    "driver": {
      "d": null,
      "w": null,
      "m": null
    },
    "tier_contribution": {
      "d": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "w": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "m": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      }
    },
    "tier_series": {
      "individual": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100
      ],
      "pro": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468,
        86.468
      ],
      "team_sme": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914
      ],
      "enterprise": [
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        100,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914,
        88.914
      ]
    },
    "tier_own_move": {
      "d": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "w": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      },
      "m": {
        "individual": 0,
        "pro": 0,
        "team_sme": 0,
        "enterprise": 0
      }
    },
    "tier_agents": {
      "individual": 1,
      "pro": 2,
      "team_sme": 1,
      "enterprise": 1
    },
    "obs_range": {
      "d": null,
      "w": null,
      "m": null
    },
    "tier_obs_range": {
      "d": {
        "individual": null,
        "pro": null,
        "team_sme": null,
        "enterprise": null
      },
      "w": {
        "individual": null,
        "pro": null,
        "team_sme": null,
        "enterprise": null
      },
      "m": {
        "individual": null,
        "pro": null,
        "team_sme": null,
        "enterprise": null
      }
    }
  },
  "pricing": {
    "sampleSize": 13,
    "observed": 5,
    "byPersona": {
      "free": {
        "n": 4,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
        "p75": null,
        "min": null,
        "max": null,
        "mean": null,
        "stdev": null,
        "usageShare": 0
      },
      "individual": {
        "n": 0,
        "nPriced": 0,
        "reliability": "none",
        "median": null,
        "p25": null,
        "p75": null,
        "min": null,
        "max": null,
        "mean": null,
        "stdev": null,
        "usageShare": 0
      },
      "pro": {
        "n": 3,
        "nPriced": 3,
        "reliability": "low",
        "median": 100,
        "p25": 55,
        "p75": 299.5,
        "min": 10,
        "max": 499,
        "mean": 203,
        "stdev": 260.26,
        "usageShare": 0
      },
      "team_sme": {
        "n": 1,
        "nPriced": 1,
        "reliability": "none",
        "median": 25,
        "p25": 25,
        "p75": 25,
        "min": 25,
        "max": 25,
        "mean": 25,
        "stdev": 0,
        "usageShare": 0
      },
      "enterprise": {
        "n": 2,
        "nPriced": 1,
        "reliability": "none",
        "median": 250,
        "p25": 250,
        "p75": 250,
        "min": 250,
        "max": 250,
        "mean": 250,
        "stdev": 0,
        "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": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "pro": {
        "nMonthly": 3,
        "p25": 55,
        "median": 100,
        "p75": 299.5,
        "confidence": "low",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": true
      },
      "team_sme": {
        "nMonthly": 1,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "enterprise": {
        "nMonthly": 1,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0,
        "mixedBilling": false,
        "monthlyComparable": false
      }
    },
    "byTierCohorts": {
      "status": "ok",
      "cohorts": [
        {
          "tier": "pro",
          "currency": "USD",
          "period": "month",
          "unit": "flat",
          "median": 277,
          "provider_count": 2,
          "plan_observation_count": 3,
          "data_confidence": 0.16,
          "data_confidence_basis": {
            "provider_component": 0.17,
            "observation_component": 0.15,
            "provider_count": 2,
            "plan_observation_count": 3
          },
          "reliability": "low",
          "members": [
            {
              "provider": "nutritionist_bot",
              "usd": 55
            },
            {
              "provider": "calorie_count_ai_agent",
              "usd": 499
            }
          ]
        }
      ],
      "rejected": {
        "ambiguous_cadence": 1
      },
      "evidence": {
        "status": "ok",
        "single_observations": [],
        "observed_offers": [
          {
            "billing": "monthly",
            "unit": "flat",
            "count": 5,
            "offers": [
              {
                "provider": "calorie_count_ai_agent",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$499/mo",
                "monthly_usd": 499
              },
              {
                "provider": "nutritionist_bot",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$10 /mo",
                "monthly_usd": 10
              },
              {
                "provider": "nutritionist_bot",
                "tier": "team_sme",
                "billing": "monthly",
                "unit": "flat",
                "price": "$25 /mo",
                "monthly_usd": 25
              },
              {
                "provider": "nutritionist_bot",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$100 /mo",
                "monthly_usd": 100
              },
              {
                "provider": "nutritionist_bot",
                "tier": "enterprise",
                "billing": "monthly",
                "unit": "flat",
                "price": "$250 /mo",
                "monthly_usd": 250
              }
            ]
          },
          {
            "billing": "unspecified_period",
            "unit": "flat",
            "count": 1,
            "offers": [
              {
                "provider": "calorie_count_ai_agent",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom Pricing",
                "monthly_usd": null
              }
            ]
          }
        ],
        "coverage": {
          "priced_providers": 2,
          "normalized_observations": 5,
          "comparable_providers": 2,
          "strict_cohorts": 1,
          "exclusion_reasons": {
            "ambiguous_cadence": 1
          }
        }
      }
    },
    "quoteOnlyProvidersByTier": {
      "pro": 0,
      "team_sme": 0,
      "enterprise": 1
    },
    "billingMix": {
      "freemium": 2,
      "free": 3
    },
    "freeTierShare": 1,
    "medianLowestUsd": 254.5
  },
  "movement": null,
  "index_series": {
    "series": [
      {
        "day": "2026-09-27",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-28",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-29",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-30",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-01",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-02",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-03",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-04",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-05",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-06",
        "index": 68.359,
        "pairs": 3,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-07",
        "index": 68.359,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-08",
        "index": 68.359,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-09",
        "index": 68.359,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-10",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-11",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-12",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-13",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-14",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-15",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-16",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-17",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-18",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-19",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-20",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-21",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-22",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-23",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-24",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-25",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-26",
        "index": 68.359,
        "pairs": 4,
        "dayChangePct": 0
      }
    ],
    "latest": 68.359,
    "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": "calorie_count_ai_agent",
      "name": "Calorie Count AI Agent",
      "url": "https://hellotars.com/ai-apps/calorie-counter-ai-agent",
      "short_summary": "Analyzes meal photos to identify food items and portion sizes, generating nutritional breakdowns including calories, macronutrients, and micronutrients",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Premium",
            "monthly_native": 499,
            "monthly_usd": 499,
            "commitment": "monthly",
            "basis": "$499/month",
            "billing_verified": false,
            "billing_note": "the pricing page has a \"Billed Monthly Billed Yearly 17% off\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
          },
          "currency": "USD",
          "notes": [
            "billing period unverified: the pricing page has a \"Billed Monthly Billed Yearly 17% off\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
          ],
          "lines": [
            {
              "name": "Freemium",
              "price": "$0/mo",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Premium",
              "price": "$499/mo",
              "kind": "base_subscription",
              "billed": "monthly"
            },
            {
              "name": "Enterprise",
              "price": "Custom Pricing",
              "kind": "custom"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 499,
        "monthly_usd": 499,
        "headline": "Free plan; paid from $499/mo (billing period unverified: page has a Monthly/Annual toggle)",
        "summary": "Free plan; paid from $499/mo (billing period unverified: page has a Monthly/Annual toggle). Tars offers a freemium plan at $0/mo with 50 conversations, a Premium tier at $499/mo for mid-size businesses, and custom Enterprise pricing."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "fitimio",
      "name": "Fitimio",
      "url": "https://fitimio.com",
      "short_summary": "Fitimio is a personal nutrition and fitness tracker built around MCP.\n\nCurrently, you can\n\n- Track daily calories and macros\n- Set and monitor goals\n- Track wo…",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": [
            {
              "name": "Fitimio",
              "price": "0USD",
              "kind": "free",
              "billed": "monthly"
            }
          ]
        },
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "Free. Fitimio is presented with a structured-data offer of 0 USD, with no billing period or additional plan details visible."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "herstack",
      "name": "Herstack",
      "url": "https://herstack.co.uk/mcp",
      "short_summary": "Evidence-led women's health supplement guidance from HerStack (herstack.co.uk). Three read-only tools: named Solgar UK product recommendations with formulation…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is visible on the HerStack MCP homepage or meal-plans page."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "jotform_ai_agent",
      "name": "Nutrition Coaching Intake AI Agent",
      "url": "https://jotform.com/agent-templates/nutrition-coaching-intake-ai-agent",
      "short_summary": "Collects client information for nutrition coaching through conversational intake (age, weight, height, dietary preferences, allergies, health conditions)",
      "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": "nutribalance_mcp",
      "name": "nutribalance-mcp",
      "url": "https://thenutritrackerapp-creator-nutribal.vercel.app",
      "short_summary": "provides nutrition tools including TDEE calculation, food nutrition lookup, meal plan generation, nutrient deficiency guidance, and nutrition scoring",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": [
            {
              "name": "Free",
              "price": "Free",
              "kind": "free",
              "billed": "monthly"
            }
          ]
        },
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "Free. The NutriBalance MCP server is presented as a free collection of nutrition tools for compatible AI assistants."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "nutrition",
      "name": "Nutrition",
      "url": "https://nutrition.pack4back.com/",
      "short_summary": "Nutrition by Pack4Back lets you tell ChatGPT or Claude what you ate and write it to Garmin Connect — for you, or for family members who have granted access.",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": [
            {
              "name": "Nutrition",
              "price": "Free",
              "kind": "free",
              "billed": "monthly"
            }
          ]
        },
        "observed": true,
        "billing": "free",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Free",
        "summary": "Free. Nutrition is offered free, with optional coffee support for the maintainer."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "nutritionist_bot",
      "name": "AI agent for personal nutritionist",
      "url": "https://taskade.com/agents/personal/nutritionist-bot",
      "short_summary": "provides personalized nutrition counseling including analyzing food logs, suggesting meal plans, answering nutritional questions, tracking dietary progress, an…",
      "price": {
        "commercial": {
          "entry_offer": {
            "line": "Pro",
            "monthly_native": 10,
            "monthly_usd": 10,
            "commitment": "annual",
            "basis": "$10/month, billed annually (annual commitment)"
          },
          "currency": "USD",
          "lines": [
            {
              "name": "Free",
              "price": "$0 /mo",
              "kind": "free",
              "billed": "monthly"
            },
            {
              "name": "Pro",
              "price": "$10 /mo",
              "kind": "base_subscription",
              "billed": "annually"
            },
            {
              "name": "Pro (annual billing)",
              "price": "$10/mo billed yearly",
              "kind": "base_subscription",
              "billed": "annually"
            },
            {
              "name": "Business",
              "price": "$25 /mo",
              "kind": "base_subscription",
              "billed": "annually"
            },
            {
              "name": "Business (annual billing)",
              "price": "$25/mo billed yearly",
              "kind": "base_subscription",
              "billed": "annually"
            },
            {
              "name": "Max",
              "price": "$100 /mo",
              "kind": "base_subscription",
              "billed": "annually"
            },
            {
              "name": "Max (annual billing)",
              "price": "$100/mo billed yearly",
              "kind": "base_subscription",
              "billed": "annually"
            },
            {
              "name": "Enterprise",
              "price": "$250 /mo",
              "kind": "base_subscription",
              "billed": "annually"
            },
            {
              "name": "Enterprise (annual billing)",
              "price": "$250/mo billed yearly",
              "kind": "base_subscription",
              "billed": "annually"
            }
          ]
        },
        "observed": true,
        "billing": "freemium",
        "lowest_monthly_usd": 10,
        "monthly_usd": 10,
        "headline": "Free plan; paid from $10/mo (annual commitment)",
        "summary": "Free plan; paid from $10/mo (annual commitment). Taskade offers a free tier and four paid monthly subscription plans from $10/mo to $250/mo, with annual billing shown at half the monthly total."
      },
      "evidence_quality": "medium",
      "upvotes": 0
    },
    {
      "agent_id": "openfoodfacts_mcp_server",
      "name": "Openfoodfacts",
      "url": "https://openfoodfacts.caseyjhand.com/mcp",
      "short_summary": "Barcode lookup, nutrition search, and product comparison for 3M+ crowd-sourced food products.",
      "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": "platepal",
      "name": "Platepal",
      "url": "https://platepal.pages.dev",
      "short_summary": "Calories, protein, carbs, fat, sugar and salt for everyday foods, restaurant and fast-food dishes, whole meals and packaged products, scaled to the amount you…",
      "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": "supplementcheck",
      "name": "Supplementcheck",
      "url": "https://supplementcheck.pages.dev",
      "short_summary": "What a vitamin, mineral or popular supplement does, how much adults need and the safe upper limit (US NIH, and NHS amounts for UK users), a dose check (\"is 500…",
      "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": [],
  "page_url": "https://agentery.com/market/ai-nutritionist",
  "summary": {
    "niche": "ai-nutritionist",
    "sector": "consumer-personal",
    "pricing_by_provider_type": {
      "headline": "No published benchmark for ai-nutritionist yet — too few comparable priced providers. Observed offers are listed.",
      "benchmarks": [
        {
          "provider_type": "agent",
          "provider_type_label": "Agents",
          "buyer_tier": "pro",
          "buyer_tier_label": "Pro",
          "pricing_unit": "flat",
          "pricing_unit_label": "flat monthly",
          "comparable_provider_count": 2,
          "reliability": "low",
          "median": null,
          "p25": null,
          "p75": null,
          "status": "observed_offers_only",
          "observed_offers": [
            55,
            499
          ]
        }
      ],
      "warnings": [],
      "full_pricing_via": {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "ai-nutritionist"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/ai-nutritionist",
    "counts": {
      "listings_with_price_capture": 13,
      "listings_with_observed_public_price": 5,
      "providers_with_numeric_monthly_price_latest_scan": null,
      "like_for_like_comparable_pairs": null
    },
    "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": "pro",
        "currency": "USD",
        "period": "month",
        "unit": "flat",
        "median": 277,
        "provider_count": 2,
        "plan_observation_count": 3,
        "data_confidence": 0.16,
        "data_confidence_basis": {
          "provider_component": 0.17,
          "observation_component": 0.15,
          "provider_count": 2,
          "plan_observation_count": 3
        },
        "reliability": "low",
        "members": [
          {
            "provider": "nutritionist_bot",
            "usd": 55
          },
          {
            "provider": "calorie_count_ai_agent",
            "usd": 499
          }
        ]
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 13,
      "listings_with_observed_public_price": 5,
      "normalized_observations": 5,
      "comparable_providers": 2,
      "strict_cohorts": 1,
      "exclusion_reasons": {
        "ambiguous_cadence": 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": {
      "ambiguous_cadence": 1
    },
    "billing_mix": {
      "freemium": 2,
      "free": 3
    },
    "free_tier_share": 1,
    "top_providers": [
      {
        "agent_id": "calorie_count_ai_agent",
        "name": "Calorie Count AI Agent",
        "price": {
          "commercial": {
            "entry_offer": {
              "line": "Premium",
              "monthly_native": 499,
              "monthly_usd": 499,
              "commitment": "monthly",
              "basis": "$499/month",
              "billing_verified": false,
              "billing_note": "the pricing page has a \"Billed Monthly Billed Yearly 17% off\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
            },
            "currency": "USD",
            "notes": [
              "billing period unverified: the pricing page has a \"Billed Monthly Billed Yearly 17% off\" toggle and only one state was captured; this may be the annual-billing rate, so the month-to-month price is not verified"
            ],
            "lines": [
              {
                "name": "Freemium",
                "price": "$0/mo",
                "kind": "free",
                "billed": "monthly"
              },
              {
                "name": "Premium",
                "price": "$499/mo",
                "kind": "base_subscription",
                "billed": "monthly"
              },
              {
                "name": "Enterprise",
                "price": "Custom Pricing",
                "kind": "custom"
              }
            ]
          },
          "observed": true,
          "billing": "freemium",
          "lowest_monthly_usd": 499,
          "monthly_usd": 499,
          "headline": "Free plan; paid from $499/mo (billing period unverified: page has a Monthly/Annual toggle)",
          "summary": "Free plan; paid from $499/mo (billing period unverified: page has a Monthly/Annual toggle). Tars offers a freemium plan at $0/mo with 50 conversations, a Premium tier at $499/mo for mid-size businesses, and custom Enterprise pricing."
        },
        "observed": true
      },
      {
        "agent_id": "fitimio",
        "name": "Fitimio",
        "price": {
          "commercial": {
            "currency": "USD",
            "lines": [
              {
                "name": "Fitimio",
                "price": "0USD",
                "kind": "free",
                "billed": "monthly"
              }
            ]
          },
          "observed": true,
          "billing": "free",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Free",
          "summary": "Free. Fitimio is presented with a structured-data offer of 0 USD, with no billing period or additional plan details visible."
        },
        "observed": true
      },
      {
        "agent_id": "herstack",
        "name": "Herstack",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public pricing is visible on the HerStack MCP homepage or meal-plans page."
        },
        "observed": false
      },
      {
        "agent_id": "jotform_ai_agent",
        "name": "Nutrition Coaching Intake AI Agent",
        "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": "nutribalance_mcp",
        "name": "nutribalance-mcp",
        "price": {
          "commercial": {
            "currency": "USD",
            "lines": [
              {
                "name": "Free",
                "price": "Free",
                "kind": "free",
                "billed": "monthly"
              }
            ]
          },
          "observed": true,
          "billing": "free",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Free",
          "summary": "Free. The NutriBalance MCP server is presented as a free collection of nutrition tools for compatible AI assistants."
        },
        "observed": true
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "ai-nutritionist"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "ai-nutritionist",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "calorie_count_ai_agent"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "calorie_count_ai_agent"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}
Full market

5 providers, one sortable view

Dense enough for many listings; progressive disclosure keeps mobile usable.

Showing only providers with a published price or a free plan. $29 = lowest observed monthly · Free = free to use · Free tier = free plan + paid options.