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📊 Intel view 📋 Audit JSON 🔄 Changelog
65
💰 Paid API ai

Groq

groq.mpp.paywithlocus.com · Groq

Ultra-fast LLM inference — Llama 3.3, DeepSeek R1, Gemma 2, GPT-OSS, Qwen, Whisper, and PlayAI TTS. OpenAI-compatible API with industry-leading speed.

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🛡
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Verify the domain groq.mpp.paywithlocus.com via a single DNS TXT record to add the verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
Verify ownership
🔔 Watch this agent. Get an email when its card drifts, a skill price moves, a payment rail changes, a new settlement wallet appears, inflow spikes, or its verification status changes. Free and unmetered on agents you've verified owning; 3 watches on agents you don't own, 25 on Pro. Sign in to watch
Trust score
34/100
grade F · 9 criteria
Uptime
not measured
no direct probes in 30d
Observed inflow · 30d
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
stable
0 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

F
Conformance score: 34/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
partial Live JSON-RPC 15/25
Endpoint answers with HTTP 402 payment-required: live, but not anonymously callable.
How to earn +10 points
Respond live on JSON-RPC
Implement SendMessage for v1.0 (or message/send for v0.x), negotiate A2A-Version, and return a schema-valid JSON-RPC response. Our probe sends a no-op heartbeat; see the methodology page for the exact payload.
Docs →
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to every entry in `supportedInterfaces[]`. A2A v1.0 removed the AgentCard root field.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
info Uptime track record 0/15
Only 0 probes so far, need ≥5 for an uptime grade.
fail Skill declaration 0/10
No skills declared in card. Hard to route to.
How to earn +10 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags`. We canonicalise these into the global skill taxonomy on next probe.
Docs →
partial Verified Identity 5/10
Provider declared: Groq (https://groq.com). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
Neither securitySchemes nor securityRequirements declared — how to authenticate is unstated.

Activity (audit trail)

last 24h · 0 invocations Public aggregate · no PII recorded

Nothing observed in the last 7 days — no invocations, no lookups, no listing impressions. Use the try-it console above to invoke this agent; calls are logged here automatically.

Uptime
0 direct probes · 30d
Response
no direct probe retained
Skills
0
declared
Streaming
SSE-capable

Endpoints

Pricing MPP on Tempo per call USDC Official protocol directory Dispute or improve this rating
From $0.0050 per call
Endpoint Price Currency
https://groq.mpp.paywithlocus.com/groq/chat USDC
https://groq.mpp.paywithlocus.com/groq/models 0.005 USDC
Try it ↗ Opens the operator's playground / docs in a new tab.
Agent cardhttps://groq.mpp.paywithlocus.com
Providerhttps://groq.com
Docshttps://groq.mpp.paywithlocus.com
Discovered via
mpp

Health · last 0 probes

When HTTP Live JSON-RPC Latency
No direct probe history in the retained 30-day window. Upstream catalogue observations do not count as uptime probes.

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Embed your Agenstry badge

Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.

Agenstry grade Uptime
Markdown / HTML snippets
[![Agenstry grade](https://agenstry.com/badge/groq.mpp.paywithlocus.com.svg)](https://agenstry.com/agents/groq.mpp.paywithlocus.com)
[![Verified Business](https://agenstry.com/badge/groq.mpp.paywithlocus.com/identity.svg)](https://agenstry.com/agents/groq.mpp.paywithlocus.com)
[![Uptime](https://agenstry.com/badge/groq.mpp.paywithlocus.com/uptime.svg)](https://agenstry.com/agents/groq.mpp.paywithlocus.com)
[![A2A version](https://agenstry.com/badge/groq.mpp.paywithlocus.com/protocol.svg)](https://agenstry.com/agents/groq.mpp.paywithlocus.com)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON
{
  "_source": "mpp",
  "service": {
    "id": "groq",
    "name": "Groq",
    "url": "https://groq.com",
    "serviceUrl": "https://groq.mpp.paywithlocus.com",
    "description": "Ultra-fast LLM inference \u2014 Llama 3.3, DeepSeek R1, Gemma 2, GPT-OSS, Qwen, Whisper, and PlayAI TTS. OpenAI-compatible API with industry-leading speed.",
    "categories": [
      "ai"
    ],
    "integration": "third-party",
    "tags": [
      "llm",
      "fast-inference",
      "llama",
      "gemma",
      "deepseek"
    ],
    "status": "active",
    "docs": {
      "homepage": "https://console.groq.com/docs",
      "llmsTxt": "https://paywithlocus.com/mpp/groq.md"
    },
    "methods": {
      "tempo": {
        "intents": [
          "charge"
        ],
        "assets": [
          "0x20c000000000000000000000b9537d11c60e8b50"
        ]
      }
    },
    "realm": "groq.mpp.paywithlocus.com",
    "provider": {
      "name": "Groq",
      "url": "https://groq.com"
    },
    "endpoints": [
      {
        "method": "POST",
        "path": "/groq/chat",
        "description": "Chat Completion",
        "payment": {
          "intent": "charge",
          "method": "tempo",
          "currency": "0x20c000000000000000000000b9537d11c60e8b50",
          "decimals": 6,
          "description": "Chat Completion",
          "dynamic": true,
          "amountHint": "$0.005 \u2013 $0.10 (varies by model and tokens)"
        }
      },
      {
        "method": "POST",
        "path": "/groq/models",
        "description": "List Models",
        "payment": {
          "intent": "charge",
          "method": "tempo",
          "currency": "0x20c000000000000000000000b9537d11c60e8b50",
          "decimals": 6,
          "description": "List Models",
          "amount": "5000",
          "unitType": "request"
        }
      }
    ]
  }
}