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A2A A2A 0.3 v1.0.0

ART

openpipe-art.main-kill-isr.mintlify.me · ART

Train LLMs to be better agents using RL

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Verify the domain openpipe-art.main-kill-isr.mintlify.me 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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🔔 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
Our probe of this card is currently failing — 404 not found
We tried /.well-known/agent-card.json and got a 404. Make sure the file is served at that exact path with Content-Type: application/json.
Last attempt: 2026-09-15 23:24 Last success: 2026-08-26 Status: 404
Raw error HTTP 404
Trust score
40/100
grade D · 9 criteria
Uptime
52.0%
25 direct probes · 30d
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
stable
7 snapshots tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 40/100
D-grade: significant issues, auth-gated, partially broken, or stale.
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).
fail Live JSON-RPC 2/25
Card is valid but has no .url field.
How to earn +23 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 →
partial Protocol version 5/10
Declares pre-1.0 A2A 0.3 (Google preview). Upgrade to v1.x for full points.
How to earn +5 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).
fail Uptime track record 8/15
13/25 probes succeeded (52% uptime).
How to earn +7 points
Stabilise uptime
We probe every agent on a tiered schedule and grade the last 30 days. Sustained 99 %+ uptime over 20+ conclusive probes scores full points. Probes you refuse us (HTTP 429/403, a WAF challenge, robots.txt) no longer count against you either way, so what is left is genuine unavailability — usually a transient 5xx on cold start.
Docs →
partial Skill declaration 6/10
Declares 1 skill, usable but thin.
How to earn +4 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: ART (https://art.openpipe.ai/). 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.

Card history

7 snapshots drifted 6× Every change to agent-card.json
Captured Hash
2026-08-15 09:22:46 current 40d339a2648b… view →
2026-07-26 11:13:18 f3d4bec33af6… view →
2026-07-24 07:26:29 2f7c19498814… view →
2026-07-23 06:59:52 c7d396a235b9… view →
2026-07-17 08:41:26 f7e8eb174ba3… view →
2026-06-02 23:56:40 6f1ed2af5826… view →
2026-05-28 02:58:48 8d1951f2647f… view →
Uptime
52.0%
25 direct probes · 30d
Response
—
last direct probe
Skills
1
declared
Streaming
—
SSE-capable

Endpoints

Agent cardhttps://openpipe-art.main-kill-isr.mintlify.me/.well-known/agent-card.json
Providerhttps://art.openpipe.ai/
Docshttps://art.openpipe.ai/
About this provider off-card enrichment
SSL certificate
Let's Encrypt
expires 2026-10-03
Discovered via
manifests recrawl_hot recrawl_warm

Skills · 1 declared · mapped to canonical taxonomy

Openpipe

Use when training LLM-based agents to improve performance and reliability through reinforcement learning. Reach for this skill when you need to optimize agent b…

canonical Model Evaluation and Benchmarking match 83%

Health · last 24 probes

When HTTP Live JSON-RPC Latency
2026-09-15 23:24:15 404 — —
2026-09-13 23:18:26 404 — —
2026-09-12 02:55:00 404 — —
2026-09-10 04:55:48 404 — —
2026-09-08 10:18:55 404 — —
2026-09-06 13:36:47 404 — —
2026-09-04 17:35:49 404 — —
2026-09-02 20:28:34 404 — —
2026-09-01 09:16:06 404 — —
2026-08-30 23:45:12 404 — —

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↑ 1 higher quality

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Embed your Agenstry badge

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Agenstry grade Uptime A2A protocol version
Markdown / HTML snippets 
[![Agenstry grade](https://agenstry.com/badge/openpipe-art.main-kill-isr.mintlify.me.svg)](https://agenstry.com/agents/openpipe-art.main-kill-isr.mintlify.me)
[![Verified Business](https://agenstry.com/badge/openpipe-art.main-kill-isr.mintlify.me/identity.svg)](https://agenstry.com/agents/openpipe-art.main-kill-isr.mintlify.me)
[![Uptime](https://agenstry.com/badge/openpipe-art.main-kill-isr.mintlify.me/uptime.svg)](https://agenstry.com/agents/openpipe-art.main-kill-isr.mintlify.me)
[![A2A version](https://agenstry.com/badge/openpipe-art.main-kill-isr.mintlify.me/protocol.svg)](https://agenstry.com/agents/openpipe-art.main-kill-isr.mintlify.me)

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": "ART",
  "description": "Train LLMs to be better agents using RL",
  "url": "https://art.openpipe.ai/",
  "version": "1.0.0",
  "protocolVersion": "0.3",
  "preferredTransport": "HTTP+JSON",
  "supportedInterfaces": [
    {
      "url": "https://art.openpipe.ai/",
      "protocolBinding": "HTTP+JSON",
      "protocolVersion": "0.3"
    }
  ],
  "provider": {
    "url": "https://art.openpipe.ai/",
    "organization": "ART"
  },
  "documentationUrl": "https://art.openpipe.ai/",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false
  },
  "defaultInputModes": [
    "text/plain"
  ],
  "defaultOutputModes": [
    "text/plain"
  ],
  "skills": [
    {
      "id": "openpipe",
      "name": "Openpipe",
      "description": "Use when training LLM-based agents to improve performance and reliability through reinforcement learning. Reach for this skill when you need to optimize agent behavior, fix specific mistakes, build confidence in agent performance before deployment, or train agents to use tools and APIs effectively.",
      "tags": [],
      "url": "https://art.openpipe.ai/.well-known/agent-skills/openpipe/skill.md"
    }
  ]
}