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

Disco

leap-labs.com official website

finds complex patterns in data including feature interactions, nonlinear thresholds, and meaningful subgroups without requiring prior hypotheses

toolPricing checked daily
Agentery value verdictPriced near the marketfrom $49/mo
Observed entry price$49/molowest observed monthly
Billing modelfreemium
Last checked1 Sept 2026pricing & liveness

What it does

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

Disco

finds complex patterns in data including feature interactions, nonlinear thresholds, and meaningful subgroups without requiring prior hypotheses

tabular datasets in CSV, TSV, Excel (.xlsx), JSON, Parquet, ARFF, and Feather formats up to 5GB → ranked list of statistically significant patterns with p-values, effect sizes, evidence, and context
APIPython SDKMCPMCPAPISDKautonomy: workflow automation

Pricing & plans

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

Pricing · observed daily
Plan 2 · market position

$49 /mo

27.9% below the Pro flat median (12 providers, USD). Cheaper than 12 of 26 comparable Pro providers.
this agent · $49
$52.75median $68$274.25
observed 2026-07-11 · rechecked daily · source evidence retained
What should this agent charge?

The current price is deliberately competitive.

pricing recommendation
$49
$52.75$274.25
$68

$49 sits below the observed Pro flat range ($52.75–$274.25) — around the 23th percentile of observed prices. It reads as a value play; make sure the margin still works.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

27.9% below the Pro flat median.

get_agent_profile · plan history

Plan 2 observed 2026-07-11.

pricing recommendation

~23rd percentile of comparable Pro flat plans.

confidence

high; 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.

$49 / month
$49 lowestmedian $68$274 highest
Competitive value position. At $49/month, this plan is 27.9% below the niche median.
1st
-27.9%
$52.75$274.25

Is Disco good value?

How its price compares with genuinely comparable providers.

Priced near the market

Priced near the market for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 0% around the observed median.

Observed commercial price$49/mo
Position among MCP serversUpper-mid priced among MCP servers · 16 priced · normal
NicheAI Data Platform
Price benchmarkapplicable
How it compares

Compared with AI Data Platform

Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.

View the full niche →

Disco's local market

Nearest products by what they do. Local median $10/mo — Disco is 390% above it.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "discovery_engine",
  "name": "Disco",
  "url": "https://www.leap-labs.com/",
  "logo": "https://agentery.com/logos/CP-9QP5CW.svg",
  "niche": "ai-data-platform",
  "category": "developer-tools-infra",
  "short_summary": "finds complex patterns in data including feature interactions, nonlinear thresholds, and meaningful subgroups without requiring prior hypotheses",
  "task_performed": "finds complex patterns in data including feature interactions, nonlinear thresholds, and meaningful subgroups without requiring prior hypotheses",
  "inputs_accepted": [
    "tabular datasets in CSV",
    "TSV",
    "Excel (.xlsx)",
    "JSON",
    "Parquet",
    "ARFF",
    "and Feather formats up to 5GB"
  ],
  "outputs_produced": [
    "ranked list of statistically significant patterns with p-values",
    "effect sizes",
    "evidence",
    "and context"
  ],
  "integrations_available": [
    "API",
    "Python SDK",
    "MCP"
  ],
  "protocols_or_interfaces": [
    "MCP",
    "API",
    "SDK"
  ],
  "industry_fit": [
    "general business"
  ],
  "autonomy_level": "workflow automation",
  "human_approval_needed": "unclear",
  "pricing_model": "freemium",
  "price": {
    "observed": true,
    "billing": "freemium",
    "currency": "USD",
    "lowest_monthly_usd": 49,
    "monthly_usd": 49,
    "headline": "Free tier, then from $49/mo",
    "summary": "Free tier, then from $49/mo. Public analyses are free, while private data and deeper analysis are offered through paid plans shown at $49 and $199, with billing periods unspecified.",
    "confidence": "low",
    "source_url": "https://www.leap-labs.com/",
    "checked_at": "2026-09-01T04:29:22.594Z",
    "amount": 49,
    "display": "From $49/mo",
    "plans": [
      {
        "name": "Free",
        "price": "$0",
        "period": null,
        "persona": "free",
        "highlights": [
          "Public analyses"
        ],
        "price_annual": null
      },
      {
        "name": "Paid plan",
        "price": "$49",
        "period": null,
        "persona": "pro",
        "highlights": [
          "Private data and deeper analysis"
        ],
        "price_annual": null
      },
      {
        "name": "Paid plan",
        "price": "$199",
        "period": null,
        "persona": "team_sme",
        "highlights": [
          "Private data and deeper analysis"
        ],
        "price_annual": null
      }
    ],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "case studies",
    "GitHub stars"
  ],
  "evidence_quality": "high",
  "entity_type": "tool",
  "regulated_data_suitability": "unclear",
  "evidence_urls": [
    "https://www.leap-labs.com/"
  ],
  "last_checked": "2026-06-19",
  "how_to_connect": {
    "website": "https://www.leap-labs.com/",
    "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": 306,
    "uptime_7d": 1,
    "checked_at": "2026-09-01T02:33:35.432Z",
    "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."
}