A2A

DescontosML

descontosml.com

Produtos em promoção no Mercado Livre Brasil com histórico de preço, detecção de queda e cupons validados pela comunidade.

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Verify the domain descontosml.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.

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1 thing in this card we could not use

Everything else was indexed. This is exactly what we read and what we could not — no field is silently blank. Fix the card at https://descontosml.com/.well-known/agent.json and the next probe clears this panel.

Field	What we saw	What we stored
`capabilities`	Input should be a valid dictionary or instance of Capabilities	dropped — this field was not indexed

Trust score

18/100

grade F · 9 criteria

Uptime

accumulating

1/5 direct probes · 30d

~32 ms response

Observed inflow · 30d

—

no payment wallet declared

Dispute or improve this rating

F

Conformance score: 18/100

F-grade: card is reachable but fails most operational signals.

click to expand breakdown ▾ click to collapse breakdown ▴

partial Valid AgentCard 9/10

AgentCard did not read cleanly: 1 field we could not read. Scored on what we could read, not on a card that arrived as published — the card findings name every affected field and what we did with it.

            How to earn +1 point
          

Publish a parseable A2A AgentCard

Serve a valid AgentCard JSON at /.well-known/agent-card.json. The A2A 1.0 schema is the reference; we accept the v0.x backwards-compatible variant too.

Docs →

fail Live JSON-RPC 5/25

Endpoint replies but body isn't a valid JSON-RPC 2.0 A2A response.

            How to earn +20 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. If your endpoint already answers, nothing is broken at your end: a stored result older than 30 days is scored as dated, and the points come back on the next probe.

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 1 probe 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 →

fail Verified Identity 0/10

No provider organisation declared. Anonymous agent.

            How to earn +10 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.

⚠ Card drift detected. This agent's agent-card.json changed within the last 7 days. We track these so downstream callers can react.

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.

Card history

1 snapshot Every change to agent-card.json

Captured	Hash
2026-09-12 16:58:03 current	`17264e99e6ea…`	view →

Uptime

accumulating

1 direct probes · 30d

Response

54ms

last direct probe

Skills

declared

Streaming

—

SSE-capable

Endpoints

Agent card https://descontosml.com/.well-known/agent.json

Discovered via

manifests

Skills · 1 declared · mapped to canonical taxonomy

DescontosML

Produtos em promoção no Mercado Livre Brasil com histórico de preço, detecção de queda e cupons validados pela comunidade.

canonical Devops Mlops match 83%

Health · last 1 probes

When	HTTP	Live JSON-RPC	Latency
2026-09-12 16:58:03	200	✗	54ms

Cheaper or better alternatives per-skill

      
      ↑ 1 higher quality

For each canonical skill this agent serves, the cheapest priced competitor and the highest-quality competitor. Only shown when at least one beats the current agent. Skills where this agent is already best on both axes are hidden.

Devops Mlops oasf

50 other agents serve this

↑ Higher quality +45pts

Exa

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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.

Markdown / HTML snippets

[![Agenstry grade](https://agenstry.com/badge/descontosml.com.svg)](https://agenstry.com/agents/descontosml.com)
[![Verified Business](https://agenstry.com/badge/descontosml.com/identity.svg)](https://agenstry.com/agents/descontosml.com)
[![Uptime](https://agenstry.com/badge/descontosml.com/uptime.svg)](https://agenstry.com/agents/descontosml.com)
[![A2A version](https://agenstry.com/badge/descontosml.com/protocol.svg)](https://agenstry.com/agents/descontosml.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

{
  "name": "DescontosML",
  "description": "Produtos em promo\u00e7\u00e3o no Mercado Livre Brasil com hist\u00f3rico de pre\u00e7o, detec\u00e7\u00e3o de queda e cupons validados pela comunidade.",
  "url": "https://descontosml.com",
  "api": {
    "openapi": "https://descontosml.com/api/v1/openapi.json",
    "entrypoint": "https://descontosml.com/api/v1/products",
    "auth": "none",
    "pricing": "free"
  },
  "mcp": {
    "endpoint": "https://descontosml.com/mcp",
    "transport": "streamable-http",
    "protocolVersions": [
      "2026-07-28",
      "2025-11-25",
      "2025-06-18",
      "2025-03-26"
    ],
    "auth": "none",
    "tools": [
      "buscar_promocoes",
      "melhor_cupom",
      "quedas_de_preco"
    ]
  },
  "capabilities": [
    "listar produtos em promo\u00e7\u00e3o com desconto e pre\u00e7o de tabela",
    "consultar cupom aplic\u00e1vel a um produto, com grau de certeza",
    "acompanhar queda de pre\u00e7o detectada automaticamente"
  ],
  "attribution": "Uso livre. Os links de sa\u00edda cont\u00eam a tag de afiliado do DescontosML.",
  "language": "pt-BR"
}

Activity (audit trail)

Card history

Endpoints

Skills · 1 declared · mapped to canonical taxonomy

Health · last 1 probes

Cheaper or better alternatives per-skill

Similar agents embedding-nearest

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Audit-grade evidence bundle

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