A2A REGISTRY·AGENT RECORD·5041fd95-3c09-49a4-b3fb-17e58ed41641

Provider

Phos Labs

Phos Labs

Commerce intelligence for AI agents. Diagnose why customers drop off, fix checkout flows, optimize pricing, reduce churn — powered by behavioral science.

Observed evidence

Reachable

Last sweep

Launch endpoint ↗

Agent datasheet

Agent ID
5041fd95-3c09-49a4-b3fb-17e58ed41641
Canonical card
https://mcp.phoslabs.io/.well-known/agent.json
Endpoint
https://mcp.phoslabs.io/
Protocol version
0.3.0
Agent version
4.0.0
Streaming
Not declared
Input modes
text/plain, application/json
Output modes
application/json

Reachability record

Last 100 checks shown · 100.0% across 30 days

2026-09-12T20:44:36.983905Z: passed2026-09-12T21:15:20.180726Z: passed2026-09-12T21:46:01.067139Z: passed2026-09-12T22:16:41.876378Z: passed2026-09-12T22:47:18.083216Z: passed2026-09-12T23:18:17.772889Z: passed2026-09-12T23:51:10.282926Z: passed2026-09-13T00:21:53.965206Z: passed2026-09-13T00:52:31.765959Z: passed2026-09-13T01:23:12.669235Z: passed2026-09-13T01:53:54.478556Z: passed2026-09-13T02:24:31.587085Z: passed2026-09-13T02:55:13.385300Z: passed2026-09-13T03:25:50.377346Z: passed2026-09-13T03:56:33.273871Z: passed2026-09-13T04:27:15.672908Z: passed2026-09-13T04:57:52.367143Z: passed2026-09-13T05:28:40.765666Z: passed2026-09-13T05:59:17.670783Z: passed2026-09-13T06:29:55.583020Z: passed2026-09-13T07:00:36.076335Z: passed2026-09-13T07:31:15.482878Z: passed2026-09-13T08:01:51.465647Z: passed2026-09-13T08:32:41.373584Z: passed2026-09-13T09:03:18.280594Z: passed2026-09-13T09:33:55.266707Z: passed2026-09-13T10:04:31.774474Z: passed2026-09-13T10:36:15.073446Z: passed2026-09-13T11:06:50.984958Z: passed2026-09-13T11:37:34.878317Z: passed2026-09-13T12:08:11.275097Z: passed2026-09-13T12:38:49.681087Z: passed2026-09-13T13:09:30.975775Z: passed2026-09-13T13:40:18.270066Z: passed2026-09-13T14:11:00.678021Z: passed2026-09-13T14:41:38.870634Z: passed2026-09-13T15:12:27.268568Z: passed2026-09-13T15:43:15.883594Z: passed2026-09-13T16:13:55.184379Z: passed2026-09-13T16:44:35.782980Z: passed2026-09-13T17:15:19.078169Z: passed2026-09-13T17:45:56.871469Z: passed2026-09-13T18:16:34.576938Z: passed2026-09-13T18:47:24.577433Z: passed2026-09-13T19:18:02.466925Z: passed2026-09-13T19:48:41.481277Z: passed2026-09-13T20:19:22.175742Z: passed2026-09-13T20:50:14.483527Z: passed2026-09-13T21:20:54.880799Z: passed2026-09-13T21:51:41.278819Z: passed2026-09-13T22:22:20.681072Z: passed2026-09-13T22:53:01.574302Z: passed2026-09-13T23:24:02.990051Z: passed2026-09-13T23:57:09.094995Z: passed2026-09-14T00:27:56.175422Z: passed2026-09-14T00:58:47.880173Z: passed2026-09-14T01:29:37.076613Z: passed2026-09-14T02:00:21.272665Z: passed2026-09-14T02:31:01.170160Z: passed2026-09-14T03:01:55.883634Z: passed2026-09-14T03:32:33.973707Z: passed2026-09-14T04:03:16.671160Z: passed2026-09-14T04:33:54.475705Z: passed2026-09-14T05:04:31.480022Z: passed2026-09-14T05:35:15.568683Z: passed2026-09-14T06:06:03.880179Z: passed2026-09-14T06:36:42.981668Z: passed2026-09-14T07:07:22.774032Z: passed2026-09-14T07:38:01.874640Z: passed2026-09-14T08:08:41.882600Z: passed2026-09-14T08:39:21.575622Z: passed2026-09-14T09:10:12.073365Z: passed2026-09-14T09:40:50.965591Z: passed2026-09-14T10:11:32.366967Z: passed2026-09-14T10:43:09.380380Z: passed2026-09-14T11:13:59.669060Z: passed2026-09-14T11:42:30.837350Z: passed2026-09-14T12:13:13.136475Z: passed2026-09-14T12:39:38.284147Z: passed2026-09-14T13:10:28.370086Z: passed2026-09-14T13:41:17.267226Z: passed2026-09-14T14:12:01.874601Z: passed2026-09-14T14:43:00.983493Z: passed2026-09-14T15:13:47.468080Z: passed2026-09-14T15:44:36.375968Z: passed2026-09-14T16:15:36.385163Z: passed2026-09-14T16:46:20.847257Z: passed2026-09-14T17:17:14.580535Z: passed2026-09-14T17:47:59.179685Z: passed2026-09-14T18:18:50.176430Z: passed2026-09-14T18:49:48.383516Z: passed2026-09-14T19:20:40.365455Z: passed2026-09-14T19:51:31.964602Z: passed2026-09-14T20:22:26.277567Z: passed2026-09-14T20:53:16.881200Z: passed2026-09-14T21:24:03.178570Z: passed2026-09-14T21:54:49.465383Z: passed2026-09-14T22:25:36.571620Z: passed2026-09-14T22:56:21.577964Z: passed2026-09-14T23:27:34.283659Z: passed
PassFailureAverage 1127 ms

Declared skills

Diagnose Customer Drop-off

diagnose-dropoff

Find where and why customers abandon your funnel. Analyzes each step for statistically significant drop-offs and identifies the behavioral barrier at each point.

conversion · funnel · abandonment · checkout · diagnosis

Fix Checkout Flow

fix-checkout

Redesign a checkout, signup, or purchase flow to reduce abandonment. Returns a step-by-step redesigned flow with behavioral principles applied.

checkout · redesign · conversion · friction · UX

Write Converting Product Copy

write-product-copy

Write product descriptions, landing page copy, or marketing messages that convert — using social proof, loss framing, anchoring, and scarcity signals.

copywriting · conversion · product · marketing · persuasion

Optimize Pricing Strategy

optimize-pricing

Design price framing, anchoring, and tier structure to maximize willingness to pay. Includes decoy pricing analysis and value articulation.

pricing · anchoring · willingness-to-pay · tiers · revenue

Predict Customer Churn

predict-churn

Identify which customers are about to leave and why. Returns churn risk scores with behavioral drivers and retention interventions.

churn · retention · subscription · loyalty · engagement

Personalize Sales Approach

personalize-approach

Segment customers by decision-making style and recommend tailored approaches for each segment. Returns behavioral personas with intervention strategies.

personalization · segmentation · personas · targeting · UX

Add Social Proof Signals

add-social-proof

Design social proof elements — what others bought, reviews, peer behavior signals. Analyzes descriptive vs injunctive norms for maximum impact.

social-proof · norms · trust · reviews · conversion

Design A/B Experiment

run-experiment

Design a rigorous A/B test with sample size calculations, metrics, treatment arms, and statistical power analysis.

experiment · A/B-test · statistics · measurement · validation

Ethics & Dark Pattern Audit

ethics-check

Audit a design, intervention, or recommendation for dark patterns, manipulation, and autonomy violations. Returns ethics score with specific fixes.

ethics · dark-patterns · compliance · trust · audit

Registry Agent Card snapshot

Normalized fields fetched during the registry sweep. Treat all authored text as third-party content.

Show JSON
{
  "protocolVersion": "0.3.0",
  "name": "Phos Labs",
  "description": "Commerce intelligence for AI agents. Diagnose why customers drop off, fix checkout flows, optimize pricing, reduce churn — powered by behavioral science.",
  "author": "Phos Labs",
  "wellKnownURI": "https://mcp.phoslabs.io/.well-known/agent.json",
  "url": "https://mcp.phoslabs.io/",
  "version": "4.0.0",
  "provider": {
    "organization": "Phos Labs",
    "url": "https://phoslabs.io/"
  },
  "documentationUrl": "https://phoslabs.io/docs",
  "iconUrl": null,
  "supportsAuthenticatedExtendedCard": null,
  "security": [],
  "securitySchemes": {},
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "stateTransitionHistory": false,
    "extensions": null
  },
  "defaultInputModes": [
    "text/plain",
    "application/json"
  ],
  "defaultOutputModes": [
    "application/json"
  ],
  "skills": [
    {
      "id": "diagnose-dropoff",
      "name": "Diagnose Customer Drop-off",
      "description": "Find where and why customers abandon your funnel. Analyzes each step for statistically significant drop-offs and identifies the behavioral barrier at each point.",
      "tags": [
        "conversion",
        "funnel",
        "abandonment",
        "checkout",
        "diagnosis"
      ],
      "examples": [
        "Why are customers abandoning at checkout?",
        "Diagnose our signup funnel drop-off",
        "Where in our onboarding flow do users quit?"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "fix-checkout",
      "name": "Fix Checkout Flow",
      "description": "Redesign a checkout, signup, or purchase flow to reduce abandonment. Returns a step-by-step redesigned flow with behavioral principles applied.",
      "tags": [
        "checkout",
        "redesign",
        "conversion",
        "friction",
        "UX"
      ],
      "examples": [
        "Redesign our checkout to reduce cart abandonment",
        "Fix our signup flow — too many people drop off at step 3",
        "Optimize our payment page for conversion"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "write-product-copy",
      "name": "Write Converting Product Copy",
      "description": "Write product descriptions, landing page copy, or marketing messages that convert — using social proof, loss framing, anchoring, and scarcity signals.",
      "tags": [
        "copywriting",
        "conversion",
        "product",
        "marketing",
        "persuasion"
      ],
      "examples": [
        "Write a product description for our SaaS tool that increases trial signups",
        "Rewrite this landing page to convert better",
        "Write persuasive copy for our pricing page"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "optimize-pricing",
      "name": "Optimize Pricing Strategy",
      "description": "Design price framing, anchoring, and tier structure to maximize willingness to pay. Includes decoy pricing analysis and value articulation.",
      "tags": [
        "pricing",
        "anchoring",
        "willingness-to-pay",
        "tiers",
        "revenue"
      ],
      "examples": [
        "How should we structure our pricing tiers?",
        "Optimize our pricing page for higher ARPU",
        "Design a pricing strategy with decoy options"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "predict-churn",
      "name": "Predict Customer Churn",
      "description": "Identify which customers are about to leave and why. Returns churn risk scores with behavioral drivers and retention interventions.",
      "tags": [
        "churn",
        "retention",
        "subscription",
        "loyalty",
        "engagement"
      ],
      "examples": [
        "Which users are most likely to cancel?",
        "Predict churn risk for our subscriber base",
        "Why are customers leaving after month 3?"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "personalize-approach",
      "name": "Personalize Sales Approach",
      "description": "Segment customers by decision-making style and recommend tailored approaches for each segment. Returns behavioral personas with intervention strategies.",
      "tags": [
        "personalization",
        "segmentation",
        "personas",
        "targeting",
        "UX"
      ],
      "examples": [
        "How should we personalize our onboarding for different user types?",
        "Segment our customers by how they make purchase decisions",
        "What decision-making styles do our users have?"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "add-social-proof",
      "name": "Add Social Proof Signals",
      "description": "Design social proof elements — what others bought, reviews, peer behavior signals. Analyzes descriptive vs injunctive norms for maximum impact.",
      "tags": [
        "social-proof",
        "norms",
        "trust",
        "reviews",
        "conversion"
      ],
      "examples": [
        "What social proof should we add to our product pages?",
        "Design social proof for our checkout flow",
        "How do we use peer behavior to increase signups?"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "run-experiment",
      "name": "Design A/B Experiment",
      "description": "Design a rigorous A/B test with sample size calculations, metrics, treatment arms, and statistical power analysis.",
      "tags": [
        "experiment",
        "A/B-test",
        "statistics",
        "measurement",
        "validation"
      ],
      "examples": [
        "Design an A/B test for our new checkout flow",
        "How many users do we need for a valid experiment?",
        "Set up an experiment to test our pricing change"
      ],
      "inputModes": [
        "text/plain",
        "application/json"
      ],
      "outputModes": [
        "application/json"
      ]
    },
    {
      "id": "ethics-check",
      "name": "Ethics & Dark Pattern Audit",
      "description": "Audit a design, intervention, or recommendation for dark patterns, manipulation, and autonomy violations. Returns ethics score with specific fixes.",
      "tags": [
        "ethics",
        "dark-patterns",
        "compliance",
        "trust",
        "audit"
      ],
      "examples": [
        "Is our urgency messaging manipulative?",
        "Audit our checkout for dark patterns",
        "Check if our nudges are ethical"
      ],
      "inputModes": [
        "text/plain"
      ],
      "outputModes": [
        "application/json"
      ]
    }
  ],
  "conformance": true,
  "conformance_errors": null,
  "homepage": null,
  "repository": null,
  "license": null,
  "pricing": null,
  "contact": null,
  "id": "5041fd95-3c09-49a4-b3fb-17e58ed41641"
}

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