Crawler Summary

Disco answer-first brief

Disco is not another AI data analyst that writes pandas or SQL for you. Disco finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and (optionally) checked for novelty against academic literature with citations. This is a computational pipeline, not prompt engineering over data. You cannot replicate what it does by writing pandas code or asking an LLM to look at a CSV. It finds structure that hypothesis-driven analysis misses, because it doesn't start with hypotheses. Discovery Engine is not another AI data analyst that writes pandas or SQL for you. Discovery Engine finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and checked for novelty against academic literature with citations. This is a co Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

Disco is best for general automation workflows where MCP compatibility matters.

Not Ideal For

Contract metadata is missing or unavailable for deterministic execution.

Evidence Sources Checked

editorial-content, Smithery, runtime-metrics, public facts pack

Agent DossierSmitherySafety: 86/100

Disco

Disco is not another AI data analyst that writes pandas or SQL for you. Disco finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and (optionally) checked for novelty against academic literature with citations. This is a computational pipeline, not prompt engineering over data. You cannot replicate what it does by writing pandas code or asking an LLM to look at a CSV. It finds structure that hypothesis-driven analysis misses, because it doesn't start with hypotheses. Discovery Engine is not another AI data analyst that writes pandas or SQL for you. Discovery Engine finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and checked for novelty against academic literature with citations. This is a co

MCPself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Trust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Apr 15, 2026

Vendor

Leap Labs

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.

Setup snapshot

  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Leap Labs

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP

contractmedium
Observed Apr 15, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredSmithery

Extracted files

0

Examples

0

Snippets

0

Languages

Unknown

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredSmithery

Docs source

Smithery

Editorial quality

ready

Disco is not another AI data analyst that writes pandas or SQL for you. Disco finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and (optionally) checked for novelty against academic literature with citations. This is a computational pipeline, not prompt engineering over data. You cannot replicate what it does by writing pandas code or asking an LLM to look at a CSV. It finds structure that hypothesis-driven analysis misses, because it doesn't start with hypotheses. Discovery Engine is not another AI data analyst that writes pandas or SQL for you. Discovery Engine finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and checked for novelty against academic literature with citations. This is a co

Full README

Discovery Engine is not another AI data analyst that writes pandas or SQL for you.

Discovery Engine finds complex patterns in your data - feature interactions, nonlinear thresholds, and meaningful subgroups - without requiring prior hypotheses about what matters. Each pattern is validated on hold-out data, corrected for multiple testing, and checked for novelty against academic literature with citations.

This is a computational pipeline, not prompt engineering over data. You cannot replicate what it does by writing pandas code or asking an LLM to look at a CSV. It finds structure that hypothesis-driven analysis misses, because it doesn't start with hypotheses.

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

MissingSmithery

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

MCP: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/contract"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

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Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

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Loan & mortgage calculator, compound interest, ROI, crypto prices, FX conversion for AI agents.

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ShortlistLens

Structured website and review evidence for AI-assisted local-business shortlisting.

MCPmcpmcp-registry
Machine Appendix

Contract JSON

{
  "contractStatus": "missing",
  "authModes": [],
  "requires": [],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": null,
  "outputSchemaRef": null,
  "dataRegion": null,
  "contractUpdatedAt": null,
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "SMITHERY",
      "generatedAt": "2026-10-09T22:42:58.030Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "MCP",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    }
  ],
  "flattenedTokens": "protocol:MCP|unknown|profile"
}

Facts JSON

[
  {
    "factKey": "vendor",
    "label": "Vendor",
    "value": "Leap Labs",
    "category": "vendor",
    "href": "https://www.leap-labs.com/",
    "sourceUrl": "https://www.leap-labs.com/",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:33:56.777Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "protocols",
    "label": "Protocol compatibility",
    "value": "MCP",
    "category": "compatibility",
    "href": "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T06:33:56.777Z",
    "isPublic": true,
    "metadata": {}
  },
  {
    "factKey": "handshake_status",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "category": "security",
    "href": "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-leap-laboratories-discovery-engine/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true,
    "metadata": {}
  }
]

Change Events JSON

[]

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