Agentery pricing intelligence · Provider profile · Echoledger
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Echoledger

echoledger.ai official website

**Live Uniswap V2/V3, Balancer, and Curve stableswap LP analytics over MCP.** Read real on-chain pool state through your own RPC (BYO-RPC, supplied per call) a…

infrastructurePricing checked daily
Agentery price verdictInsufficient peerscannot benchmark yet
Observed entry price$1500/molowest observed monthly
Billing modelunclear
Last checked28 Jul 2026pricing & liveness

What it does

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

**Live Uniswap V2/V3, Balancer, and Curve stableswap LP analytics over MCP.** Read real on-chain pool state through your own RPC (BYO-RPC, supplied per call) and get exact-math answers to LP questions — position PnL, price-move scenarios, pool health, rug signals, slippage, and depeg risk — or build a portable **State Twin** you can run unlimited counterfactuals against locally, off the MCP. **Authless & zero-config** — no account, no API key. Nothing is stored or logged; your RPC URL is redacted from any output. Each call reads the pool, runs the analysis, and returns a typed result. **Full docs: https://www.echoledger.ai/mcp** These aren't API wrappers — they're closed-form AMM math, powered by the open-source [DeFiPy](https://defipy.org) library and its State Twin substrate. V3 impermanent loss is computed over the position's tick range via concentrated-liquidity math; Balancer IL is weight-aware; stableswap IL uses the amplified-invariant formula where small depegs can produce ou

MCPMCPautonomy: workflow automation

Pricing & plans

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

Pricing · observed daily
Pool Health & Rug Risk · market position

$1500 /mo

Comparison withheld — no comparable Enterprise flat cohort in quantitative-analysis-agent. We don't compare a flat plan against a different billing unit.
this agent · $1500
$8median $89
observed 2026-07-28 · rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the market.

pricing recommendation
$1500
$8$89

Comparison withheld: no comparable Enterprise flat cohort in quantitative-analysis-agent. A flat plan is only benchmarked against flat peers in the same niche.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

Comparison withheld — no matching-unit cohort.

get_agent_profile · plan history

Pool Health & Rug Risk observed 2026-07-28.

pricing recommendation

Withheld — unit mismatch.

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.

$1500 / month
$8 lowestmedian $2100 highest
Not comparable This plan's basis isn't monthly-comparable.
$8$89

Is Echoledger 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$1500/mo
NicheQuantitative Analysis Agent
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 Quantitative Analysis Agent

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": "echoledger",
  "name": "Echoledger",
  "url": "https://echoledger.ai",
  "logo": "https://agentery.com/logos/CP-V45SKE-256.png",
  "niche": "quantitative-analysis-agent",
  "category": "financial-services",
  "short_summary": "**Live Uniswap V2/V3, Balancer, and Curve stableswap LP analytics over MCP.** Read real on-chain pool state through your own RPC (BYO-RPC, supplied per call) a…",
  "task_performed": "**Live Uniswap V2/V3, Balancer, and Curve stableswap LP analytics over MCP.** Read real on-chain pool state through your own RPC (BYO-RPC, supplied per call) and get exact-math answers to LP questions — position PnL, price-move scenarios, pool health, rug signals, slippage, and depeg risk — or build a portable **State Twin** you can run unlimited counterfactuals against locally, off the MCP.\n\n**Authless & zero-config** — no account, no API key. Nothing is stored or logged; your RPC URL is redacted from any output. Each call reads the pool, runs the analysis, and returns a typed result. **Full docs: https://www.echoledger.ai/mcp**\n\nThese aren't API wrappers — they're closed-form AMM math, powered by the open-source [DeFiPy](https://defipy.org) library and its State Twin substrate. V3 impermanent loss is computed over the position's tick range via concentrated-liquidity math; Balancer IL is weight-aware; stableswap IL uses the amplified-invariant formula where small depegs can produce ou",
  "inputs_accepted": [],
  "outputs_produced": [],
  "integrations_available": [
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP"
  ],
  "industry_fit": [
    "developer tools"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "unclear",
  "price": {
    "observed": true,
    "billing": "one-time",
    "currency": "USD",
    "lowest_monthly_usd": 1500,
    "monthly_usd": 1500,
    "headline": "From $1500/mo",
    "summary": "From $1500/mo. EchoLedger offers fixed-price DeFi analysis reports from $1,500, while larger reviews and consulting engagements are quoted.",
    "confidence": "medium",
    "source_url": "https://echoledger.ai/",
    "checked_at": "2026-07-28T05:07:30.039Z",
    "amount": 1500,
    "display": "From $1500/mo",
    "plans": [
      {
        "name": "LP Position Audit",
        "price": "$2,500",
        "period": "one-time",
        "persona": "enterprise",
        "highlights": [
          "Single liquidity position",
          "6–10 page PDF",
          "5 business day turnaround"
        ],
        "price_annual": null
      },
      {
        "name": "DAO Treasury Review",
        "price": "From $10,000",
        "period": "one-time",
        "persona": "enterprise",
        "highlights": [
          "Up to 10 positions",
          "PDF and markdown deliverables",
          "2–3 week turnaround"
        ],
        "price_annual": null
      },
      {
        "name": "Pool Health & Rug Risk",
        "price": "From $1,500",
        "period": "one-time",
        "persona": "enterprise",
        "highlights": [
          "Pre-entry pool due diligence",
          "4–6 page PDF",
          "3 business day turnaround"
        ],
        "price_annual": null
      },
      {
        "name": "DeFi Quant Consulting",
        "price": "Quoted",
        "period": null,
        "persona": "enterprise",
        "highlights": [
          "Custom scoped engagements",
          "Discovery call required",
          "Recurring monitoring and advisory options"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "121 Smithery installs"
  ],
  "evidence_quality": "high",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://echoledger.ai"
  ],
  "last_checked": "2026-07-16",
  "how_to_connect": {
    "website": "https://echoledger.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": 2167,
    "uptime_7d": 1,
    "checked_at": "2026-07-28T02:33:19.657Z",
    "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."
}