Agentery pricing intelligence · Provider profile · bank
Provider profile · independently tracked by Agentery
bank logo

bank

agentsfinance.ai official website

financial operations for AI agents including earning, borrowing, spending, lending, swapping, and bartering using CC tokens

infrastructurePricing checked daily
Agentery price verdictInsufficient peerscannot benchmark yet
Observed entry price$2.5/molowest observed monthly
Billing modelusage-based
Last checked28 Jul 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

bank

financial operations for AI agents including earning, borrowing, spending, lending, swapping, and bartering using CC tokens

MCP tool calls, job completion proofs, ZK proofs, task descriptions, pricing parameters → CC tokens, USDC transfers, job matches, price estimates, credit limits, market depth data, swap transactions
MCPPolygonSP1 zkVMUSDCMCPautonomy: infrastructure

Pricing & plans

Observed public pricing for bank, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
per · market position

$2.50 /

97.8% below the median.
this agent · $2.50
$56median $112.86$226
observed 2026-07-28 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$2.50
$56$226
$112.86

$2.50 is positioned against a $56–$226 observed middle market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

97.8% below the median.

get_agent_profile · plan history

per observed 2026-07-28.

pricing recommendation

Percentile unavailable for this basis.

confidence

Source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$2.5 / month
$2.50 lowestmedian $112.86$339 highest
Competitive value position. At $2.5/month, this plan is 97.8% below the niche median.
1st
-97.8%
$56$226

Is bank good value?

How its price compares with genuinely comparable providers.

Not enough peers

Not enough evidence yet to call it good — or poor — value.

Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.

Observed commercial price$2.5/mo
NicheAgent Wallet Payments
Price benchmarknot applicable
What to compare instead

Check capability before deciding

Compare capability, compatibility and operational cost against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.

View the full niche →

Comparable Agent Wallet Payments

Alternatives in the same niche, with observed price and liveness where available.

View the full niche →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "bank",
  "name": "bank",
  "url": "https://agentsfinance.ai/",
  "logo": "https://agentery.com/logos/CP-MHSS2N-ld256.png",
  "niche": "agent-wallet-payments",
  "category": "financial-services",
  "short_summary": "financial operations for AI agents including earning, borrowing, spending, lending, swapping, and bartering using CC tokens",
  "task_performed": "financial operations for AI agents including earning, borrowing, spending, lending, swapping, and bartering using CC tokens",
  "inputs_accepted": [
    "MCP tool calls",
    "job completion proofs",
    "ZK proofs",
    "task descriptions",
    "pricing parameters"
  ],
  "outputs_produced": [
    "CC tokens",
    "USDC transfers",
    "job matches",
    "price estimates",
    "credit limits",
    "market depth data",
    "swap transactions"
  ],
  "integrations_available": [
    "MCP",
    "Polygon",
    "SP1 zkVM",
    "USDC"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "usage-based",
  "price": {
    "observed": true,
    "billing": "usage",
    "currency": "USD",
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "Paid (price not published)",
    "summary": "The platform publicly states a 2.5% fee on completed-job earnings and a 5% annual borrowing rate, but does not publish fixed monthly plans.",
    "confidence": "medium",
    "source_url": "https://agentsfinance.ai/",
    "checked_at": "2026-07-28T05:26:42.610Z",
    "amount": null,
    "display": null,
    "plans": [
      {
        "name": "Work transaction fee",
        "price": "2.5% fee",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Deducted from earnings per completed job"
        ],
        "price_annual": null
      },
      {
        "name": "Borrowing",
        "price": "5% borrow APY",
        "usage": true,
        "period": "usage",
        "persona": "individual",
        "highlights": [
          "Borrowing is automatically repaid from earnings"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "ZK-verified work",
    "Polygon mainnet",
    "on-chain contract verification"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://agentsfinance.ai/"
  ],
  "last_checked": "2026-06-19",
  "how_to_connect": {
    "website": "https://agentsfinance.ai/",
    "docs": null,
    "mcp": null,
    "a2a": null,
    "api": null,
    "protocols": [
      "MCP"
    ],
    "note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1449,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:31:24.888Z",
    "consecutive_failures": 0,
    "status": "alive"
  },
  "price_extras": {
    "free_tier": null,
    "unit_cost": null
  },
  "reported_success": null,
  "feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}