~ · home · finance-ops treasury-cash-management · 5

Treasury Cash Management

Query this niche via MCPmarket_report({ query: "Treasury Cash Management", response_mode: "summary" })
active marketmarket pulse 67/100commercial money present0 new builders in 30d5 listings
basis: all observed monthly plans · commercial-form-v2
Agents · median
None priced — too few for a Agents median.
MCP servers · median
None priced — too few for a MCP servers median.

All plans — Agents vs MCPs

each dot = one provider · log scale
No providers priced at the All tier yet.

All plans

0 priced
Providervs its cohort medianMonthly
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 Treasury Cash Management (latest observation 2026-10-14T03:32:48.116Z). 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": "treasury-cash-management",
  "parent_sector": "finance-ops",
  "provider_type_pricing": {
    "slug": "treasury-cash-management",
    "pricing_basis": "lowest_observed_monthly_usd",
    "provider_type_methodology": "commercial-form-v2",
    "provider_type_methodology_published_at": "2026-07-31",
    "blended": {
      "median": 99,
      "p25": null,
      "p75": null,
      "providers": 1
    },
    "by_provider_type": {
      "agent": {
        "median": null,
        "p25": null,
        "p75": null,
        "providers": 1,
        "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": "emerging",
  "observed_node_count": 3,
  "adjacent_niches": [
    "tax-compliance-smb",
    "audit-prep",
    "spend-management-saas",
    "fpa-scenario-modelling",
    "procure-to-pay-agent",
    "vendor-risk-assessment"
  ],
  "market_pulse": {
    "pulse": 67,
    "drivers": [
      "enterprise money present"
    ],
    "price_move_30d_pct": null,
    "money_share": 1,
    "entry_rate": 0,
    "alive_share": 1
  },
  "price_move": {
    "d_pct": 0,
    "w_pct": 0,
    "m_pct": 0,
    "comparable_agents": 1,
    "quarantined_agents": 0,
    "confidence": "insufficient",
    "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
      ],
      "pro": [
        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
      ],
      "team_sme": [
        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
      ],
      "enterprise": [
        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
      ]
    },
    "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": 0,
      "pro": 1,
      "team_sme": 0,
      "enterprise": 0
    },
    "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": 6,
    "observed": 4,
    "byPersona": {
      "free": {
        "n": 0,
        "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": 2,
        "nPriced": 2,
        "reliability": "low",
        "median": 50.5,
        "p25": 26.25,
        "p75": 74.75,
        "min": 2,
        "max": 99,
        "mean": 50.5,
        "stdev": 68.59,
        "usageShare": 0.5
      },
      "team_sme": {
        "n": 1,
        "nPriced": 1,
        "reliability": "none",
        "median": 4,
        "p25": 4,
        "p75": 4,
        "min": 4,
        "max": 4,
        "mean": 4,
        "stdev": 0,
        "usageShare": 1
      },
      "enterprise": {
        "n": 2,
        "nPriced": 1,
        "reliability": "none",
        "median": 3,
        "p25": 3,
        "p75": 3,
        "min": 3,
        "max": 3,
        "mean": 3,
        "stdev": 0,
        "usageShare": 0.5
      }
    },
    "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": 1,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0.5,
        "mixedBilling": true,
        "monthlyComparable": false
      },
      "team_sme": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 1,
        "mixedBilling": false,
        "monthlyComparable": false
      },
      "enterprise": {
        "nMonthly": 0,
        "p25": null,
        "median": null,
        "p75": null,
        "confidence": "none",
        "usageShare": 0.5,
        "mixedBilling": true,
        "monthlyComparable": false
      }
    },
    "byTierCohorts": {
      "status": "insufficient",
      "cohorts": [],
      "rejected": {
        "ambiguous_cadence": 1,
        "usage_not_monthly": 3
      },
      "evidence": {
        "status": "single_observation",
        "single_observations": [
          {
            "tier": "pro",
            "unit": "flat",
            "provider": "c8_hedge",
            "monthly_usd": 99
          }
        ],
        "observed_offers": [
          {
            "billing": "monthly",
            "unit": "flat",
            "count": 1,
            "offers": [
              {
                "provider": "c8_hedge",
                "tier": "pro",
                "billing": "monthly",
                "unit": "flat",
                "price": "$99/month",
                "monthly_usd": 99
              }
            ]
          },
          {
            "billing": "usage",
            "unit": "other_usage",
            "count": 3,
            "offers": [
              {
                "provider": "liquidity_risk_agent_aipowered",
                "tier": "pro",
                "billing": "usage",
                "unit": "other_usage",
                "price": "$2.00 / per credit ($USD)",
                "monthly_usd": null
              },
              {
                "provider": "liquidity_risk_agent_aipowered",
                "tier": "enterprise",
                "billing": "usage",
                "unit": "other_usage",
                "price": "$3.00 / per credit ($USD)",
                "monthly_usd": null
              },
              {
                "provider": "liquidity_risk_agent_aipowered",
                "tier": "team_sme",
                "billing": "usage",
                "unit": "other_usage",
                "price": "$4.00 / per credit ($USD)",
                "monthly_usd": null
              }
            ]
          },
          {
            "billing": "unspecified_period",
            "unit": "flat",
            "count": 1,
            "offers": [
              {
                "provider": "c8_hedge",
                "tier": "enterprise",
                "billing": "unspecified_period",
                "unit": "flat",
                "price": "Custom",
                "monthly_usd": null
              }
            ]
          }
        ],
        "coverage": {
          "priced_providers": 2,
          "normalized_observations": 1,
          "comparable_providers": 1,
          "strict_cohorts": 0,
          "exclusion_reasons": {
            "ambiguous_cadence": 1,
            "usage_not_monthly": 3
          }
        }
      }
    },
    "quoteOnlyProvidersByTier": {
      "pro": 0,
      "enterprise": 1,
      "team_sme": 0
    },
    "billingMix": {
      "freemium": 1,
      "contact_sales": 2,
      "usage": 1
    },
    "freeTierShare": 0.25,
    "medianLowestUsd": 99
  },
  "movement": null,
  "index_series": {
    "series": [
      {
        "day": "2026-09-15",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-16",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-17",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-18",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-19",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-20",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-21",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-22",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-23",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-24",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-25",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-26",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-27",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-28",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-29",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-09-30",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-01",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-02",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-03",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-04",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-05",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-06",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-07",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-08",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-09",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-10",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-11",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-12",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-13",
        "index": 100,
        "pairs": 1,
        "dayChangePct": 0
      },
      {
        "day": "2026-10-14",
        "index": 100,
        "pairs": 1,
        "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": "ai_cash_flow_forecasting_agent",
      "name": "Ai Cash Flow Forecasting Agent",
      "url": "https://v7labs.com/agents/ai-cash-flow-forecasting-agent",
      "short_summary": "Generates automated cash flow forecasts by analyzing sales data, AR/AP reports, payroll schedules, and contracts to model future cash inflows and outflows",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": []
        },
        "observed": true,
        "billing": "contact_sales",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Contact sales (no public price)",
        "summary": "Contact sales (no public price). Pricing is not publicly listed; V7 states that annual agreements are custom-scoped based on platform access, users, and document volume."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "hivebank",
      "name": "AI FTC ad compliance monitoring tool",
      "url": "https://hivebank.onrender.com/",
      "short_summary": "Provides programmable treasury for autonomous agents — holds, earns yield, lends/extends credit, budgets/delegates spend, settles payments, and tracks an agent…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No reliable public pricing plans or billing terms were identified in the supplied homepage content."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "liquidity_risk_agent_aipowered",
      "name": "Liquidity Risk Agent",
      "url": "https://snowflake.com/en/developers/guides/liquidity-risk-agent",
      "short_summary": "Liquidity risk management with Basel III compliant LCR calculations, 150-day forecasting, what-if scenario analysis, and natural language querying of liquidity…",
      "price": {
        "commercial": {
          "rates": [
            {
              "line": "Standard",
              "per": "per credit",
              "text": "$2 per credit"
            },
            {
              "line": "Enterprise",
              "per": "per credit",
              "text": "$3 per credit"
            },
            {
              "line": "Business Critical",
              "per": "per credit",
              "text": "$4 per credit"
            }
          ],
          "currency": "USD",
          "lines": [
            {
              "name": "Standard",
              "price": "$2.00 / per credit ($USD)",
              "kind": "usage_rate",
              "unit": "credit",
              "billed": "usage"
            },
            {
              "name": "Enterprise",
              "price": "$3.00 / per credit ($USD)",
              "kind": "usage_rate",
              "unit": "credit",
              "billed": "usage"
            },
            {
              "name": "Business Critical",
              "price": "$4.00 / per credit ($USD)",
              "kind": "usage_rate",
              "unit": "credit",
              "billed": "usage"
            }
          ]
        },
        "observed": true,
        "billing": "usage",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "$2 per credit; $3 per credit (usage-based)",
        "summary": "$2 per credit; $3 per credit (usage-based). Snowflake lists consumption-based pricing of $2, $3, or $4 per credit for Standard, Enterprise, and Business Critical editions, respectively."
      },
      "evidence_quality": "high",
      "upvotes": 0
    },
    {
      "agent_id": "nilus_ai_forecasting",
      "name": "Nilus Ai Forecasting",
      "url": "https://nilus.com/post/how-agentic-ai-transforms-cash-flow-forecasting-accuracy",
      "short_summary": "autonomously generates and updates cash flow forecasts for treasury teams, including anomaly detection, self-correction, and scenario modeling",
      "price": {
        "commercial": {
          "currency": "USD",
          "lines": []
        },
        "observed": true,
        "billing": "contact_sales",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "Contact sales (no public price)",
        "summary": "Contact sales (no public price). Nilus offers agentic AI for cash flow forecasting; pricing requires contacting sales or requesting a demo."
      },
      "evidence_quality": "low",
      "upvotes": 0
    },
    {
      "agent_id": "lorraine_capital_access",
      "name": "Lorraine Capital Access",
      "url": "https://accountero.com/lorraine-ai-agent/",
      "short_summary": "AI agent that monitors franchise liquidity and loan compliance continuously, flags capital risks early, and packages lender-ready financial summaries for franc…",
      "price": {
        "observed": false,
        "billing": "not_found",
        "lowest_monthly_usd": null,
        "monthly_usd": null,
        "headline": "No public price found",
        "summary": "No public pricing is provided on the available homepage content."
      },
      "evidence_quality": "unclear",
      "upvotes": 0
    }
  ],
  "platforms_also_here": [],
  "page_url": "https://agentery.com/market/treasury-cash-management",
  "summary": {
    "niche": "treasury-cash-management",
    "sector": "finance-ops",
    "pricing_by_provider_type": {
      "headline": "No published benchmark for treasury-cash-management 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": "treasury-cash-management"
        },
        "note": "add provider_type + buyer_tier for a specific cohort"
      }
    },
    "page_url": "https://agentery.com/market/treasury-cash-management",
    "counts": {
      "listings_with_price_capture": 6,
      "listings_with_observed_public_price": 4,
      "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": "single_observation",
    "pricing_by_tier": null,
    "single_observations": [
      {
        "tier": "pro",
        "unit": "flat",
        "provider": "c8_hedge",
        "monthly_usd": 99
      }
    ],
    "pricing_coverage": {
      "listings_with_price_capture": 6,
      "listings_with_observed_public_price": 4,
      "normalized_observations": 1,
      "comparable_providers": 1,
      "strict_cohorts": 0,
      "exclusion_reasons": {
        "ambiguous_cadence": 1,
        "usage_not_monthly": 3
      }
    },
    "pricing_note": "Only ONE provider in this market publishes a comparable price — returned as a single observation, NOT a benchmark, median or fair price. See adjacent_pricing or confirm the market to widen the sample.",
    "pricing_excluded_observations": {
      "ambiguous_cadence": 1,
      "usage_not_monthly": 3
    },
    "billing_mix": {
      "freemium": 1,
      "contact_sales": 2,
      "usage": 1
    },
    "free_tier_share": 0.25,
    "top_providers": [
      {
        "agent_id": "ai_cash_flow_forecasting_agent",
        "name": "Ai Cash Flow Forecasting Agent",
        "price": {
          "commercial": {
            "currency": "USD",
            "lines": []
          },
          "observed": true,
          "billing": "contact_sales",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Contact sales (no public price)",
          "summary": "Contact sales (no public price). Pricing is not publicly listed; V7 states that annual agreements are custom-scoped based on platform access, users, and document volume."
        },
        "observed": true
      },
      {
        "agent_id": "hivebank",
        "name": "AI FTC ad compliance monitoring tool",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No reliable public pricing plans or billing terms were identified in the supplied homepage content."
        },
        "observed": false
      },
      {
        "agent_id": "liquidity_risk_agent_aipowered",
        "name": "Liquidity Risk Agent",
        "price": {
          "commercial": {
            "rates": [
              {
                "line": "Standard",
                "per": "per credit",
                "text": "$2 per credit"
              },
              {
                "line": "Enterprise",
                "per": "per credit",
                "text": "$3 per credit"
              },
              {
                "line": "Business Critical",
                "per": "per credit",
                "text": "$4 per credit"
              }
            ],
            "currency": "USD",
            "lines": [
              {
                "name": "Standard",
                "price": "$2.00 / per credit ($USD)",
                "kind": "usage_rate",
                "unit": "credit",
                "billed": "usage"
              },
              {
                "name": "Enterprise",
                "price": "$3.00 / per credit ($USD)",
                "kind": "usage_rate",
                "unit": "credit",
                "billed": "usage"
              },
              {
                "name": "Business Critical",
                "price": "$4.00 / per credit ($USD)",
                "kind": "usage_rate",
                "unit": "credit",
                "billed": "usage"
              }
            ]
          },
          "observed": true,
          "billing": "usage",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "$2 per credit; $3 per credit (usage-based)",
          "summary": "$2 per credit; $3 per credit (usage-based). Snowflake lists consumption-based pricing of $2, $3, or $4 per credit for Standard, Enterprise, and Business Critical editions, respectively."
        },
        "observed": true
      },
      {
        "agent_id": "nilus_ai_forecasting",
        "name": "Nilus Ai Forecasting",
        "price": {
          "commercial": {
            "currency": "USD",
            "lines": []
          },
          "observed": true,
          "billing": "contact_sales",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "Contact sales (no public price)",
          "summary": "Contact sales (no public price). Nilus offers agentic AI for cash flow forecasting; pricing requires contacting sales or requesting a demo."
        },
        "observed": true
      },
      {
        "agent_id": "lorraine_capital_access",
        "name": "Lorraine Capital Access",
        "price": {
          "observed": false,
          "billing": "not_found",
          "lowest_monthly_usd": null,
          "monthly_usd": null,
          "headline": "No public price found",
          "summary": "No public pricing is provided on the available homepage content."
        },
        "observed": false
      }
    ],
    "suggested_next_calls": [
      {
        "tool": "price_benchmark",
        "arguments": {
          "niche": "treasury-cash-management"
        },
        "purpose": "full observed price distribution + per-tier medians for this niche"
      },
      {
        "tool": "niche_report",
        "arguments": {
          "niche": "treasury-cash-management",
          "response_mode": "full"
        },
        "purpose": "the complete report incl. index series and tier decomposition"
      },
      {
        "tool": "suggest_alternatives",
        "arguments": {
          "agent_id": "ai_cash_flow_forecasting_agent"
        },
        "purpose": "comparable (optionally cheaper) providers to a named agent"
      },
      {
        "tool": "get_agent_profile",
        "arguments": {
          "agent_id": "ai_cash_flow_forecasting_agent"
        },
        "purpose": "full profile, integrations and pricing for one provider"
      }
    ]
  }
}
Full market

0 providers, one sortable view

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

ProviderTypeFromVs niche medianLiveness
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.