Xpersona

Crawler Summary

Varrd answer-first brief

VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices. Most AI trading tools skip the hard part. They’ll run a backtest and tell you what you want to hear. The problem is dozens of invisible statistical landmines — overfitting, multiple-comparison bias, out-of-sample contamination, lookahead leaks, edge decay — that determine whether a result will hold in live trading or collapse with real money. VARRD enforces these corrections at the infrastructure level. The AI cannot skip them. VARRD isn’t just a testing engine. Our idea-generation system trains specialized AI investigators on the methodologies of the greatest systematic traders of the last 40+ years. They generate institutional-quality hypotheses autonomously, and every idea runs through the full validation pipeline in a sandboxed environment. Wake up to new validated edges in your library. Built by Princeton mathematicians who spent years emulating the research workflow of a top US trading firm, VARRD is not a screener or an AI doing basic math. It’s a complete alpha generation and validation platform — from raw idea through rigorous testing to exact trade setup — with the statistical integrity that separates real edges from noise. 15,000+ instruments across futures, equities, crypto, FX, and fixed income. Available as a web app, MCP server for AI agents, and CLI. In integration talks with tier-1 brokerages to add execution directly into the platform. ~$0.30 per session, with free credits on signup. VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices. Most AI trading tools skip the har Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Freshness

Last checked 10/9/2026

Best For

Varrd 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

CardFactsSnapshotContractTrust
Agent DossierSmitherySafety: 86/100

Varrd

VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices. Most AI trading tools skip the hard part. They’ll run a backtest and tell you what you want to hear. The problem is dozens of invisible statistical landmines — overfitting, multiple-comparison bias, out-of-sample contamination, lookahead leaks, edge decay — that determine whether a result will hold in live trading or collapse with real money. VARRD enforces these corrections at the infrastructure level. The AI cannot skip them. VARRD isn’t just a testing engine. Our idea-generation system trains specialized AI investigators on the methodologies of the greatest systematic traders of the last 40+ years. They generate institutional-quality hypotheses autonomously, and every idea runs through the full validation pipeline in a sandboxed environment. Wake up to new validated edges in your library. Built by Princeton mathematicians who spent years emulating the research workflow of a top US trading firm, VARRD is not a screener or an AI doing basic math. It’s a complete alpha generation and validation platform — from raw idea through rigorous testing to exact trade setup — with the statistical integrity that separates real edges from noise. 15,000+ instruments across futures, equities, crypto, FX, and fixed income. Available as a web app, MCP server for AI agents, and CLI. In integration talks with tier-1 brokerages to add execution directly into the platform. ~$0.30 per session, with free credits on signup. VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices. Most AI trading tools skip the har

MCPself-declared

Public facts

3

Change events

0

Artifacts

0

Freshness

Oct 9, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 10/9/2026.

Trust evidence available

Trust score

Unknown

Compatibility

MCP

Freshness

Oct 9, 2026

Vendor

Varrd

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 10/9/2026.

View Source

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

Varrd

profilemedium
Observed Oct 9, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

MCP

contractmedium
Observed Oct 9, 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

VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices. Most AI trading tools skip the hard part. They’ll run a backtest and tell you what you want to hear. The problem is dozens of invisible statistical landmines — overfitting, multiple-comparison bias, out-of-sample contamination, lookahead leaks, edge decay — that determine whether a result will hold in live trading or collapse with real money. VARRD enforces these corrections at the infrastructure level. The AI cannot skip them. VARRD isn’t just a testing engine. Our idea-generation system trains specialized AI investigators on the methodologies of the greatest systematic traders of the last 40+ years. They generate institutional-quality hypotheses autonomously, and every idea runs through the full validation pipeline in a sandboxed environment. Wake up to new validated edges in your library. Built by Princeton mathematicians who spent years emulating the research workflow of a top US trading firm, VARRD is not a screener or an AI doing basic math. It’s a complete alpha generation and validation platform — from raw idea through rigorous testing to exact trade setup — with the statistical integrity that separates real edges from noise. 15,000+ instruments across futures, equities, crypto, FX, and fixed income. Available as a web app, MCP server for AI agents, and CLI. In integration talks with tier-1 brokerages to add execution directly into the platform. ~$0.30 per session, with free credits on signup. VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices. Most AI trading tools skip the har

Full README

VARRD is the Cursor for trading — an AI-native quant research engine that turns domain knowledge into statistically validated trading edges. Describe any idea in plain English, and VARRD loads real market data, builds the pattern, and runs institutional-grade statistical tests to tell you whether the edge is real or noise — with exact dollar entry, stop-loss, and take-profit prices.

Most AI trading tools skip the hard part. They’ll run a backtest and tell you what you want to hear. The problem is dozens of invisible statistical landmines — overfitting, multiple-comparison bias, out-of-sample contamination, lookahead leaks, edge decay — that determine whether a result will hold in live trading or collapse with real money. VARRD enforces these corrections at the infrastructure level. The AI cannot skip them.

VARRD isn’t just a testing engine. Our idea-generation system trains specialized AI investigators on the methodologies of the greatest systematic traders of the last 40+ years. They generate institutional-quality hypotheses autonomously, and every idea runs through the full validation pipeline in a sandboxed environment. Wake up to new validated edges in your library.

Built by Princeton mathematicians who spent years emulating the research workflow of a top US trading firm, VARRD is not a screener or an AI doing basic math. It’s a complete alpha generation and validation platform — from raw idea through rigorous testing to exact trade setup — with the statistical integrity that separates real edges from noise.

15,000+ instruments across futures, equities, crypto, FX, and fixed income. Available as a web app, MCP server for AI agents, and CLI. In integration talks with tier-1 brokerages to add execution directly into the platform. ~$0.30 per session, with free credits on signup.

Contract & API

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

MissingSmithery

Endpoints

Dossier APISnapshot APIContract APITrust API

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-augiemazza-varrd/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/contract"
curl -s "https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/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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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-augiemazza-varrd/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "MCP"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "SMITHERY",
      "generatedAt": "2026-10-09T21:18:36.504Z"
    }
  },
  "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",
    "category": "vendor",
    "label": "Vendor",
    "value": "Varrd",
    "href": "https://www.varrd.com/",
    "sourceUrl": "https://www.varrd.com/",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-10-09T01:19:38.200Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "MCP",
    "href": "https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-10-09T01:19:38.200Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/smithery-augiemazza-varrd/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

Sponsored

Ads related to Varrd and adjacent AI workflows.