Skip to content
Back to search
54
A2A live JSON-RPC A2A 1.0 v1.1.0

Token Diet

tokendiet.clawhard.com · Clawhard Studio

Token Diet shrinks what you paste into AI. It shows what a prompt costs in tokens and cuts the junk in one tap (base64 blobs, giant JSON, repeated log lines, stack-trace noise) so you hit your AI usage limit later. Runs in your browser.

Sign in to save Compare Sign in to watch Own this agent? Verify ownership →
Trust score
54/100
grade D · 9 criteria
Uptime
accumulating
1/5 direct probes · 30d
~42 ms response
Observed inflow · 30d
—
no payment wallet declared
Invocations · 7d
0
no calls observed
Card drift · 7d
stable
1 snapshot tracked
Owner
unverified
claim this listing →

Dispute or improve this rating

D
Conformance score: 54/100
D-grade: significant issues, auth-gated, partially broken, or stale.
Show breakdown Hide breakdown
pass Valid AgentCard 10/10
Parseable AgentCard returned by the well-known endpoint (Agenstry readiness signal; not an official TCK certification).
pass Live JSON-RPC 25/25
Endpoint responds to a negotiated A2A SendMessage probe (answers in ~42 ms).
pass Protocol version 10/10
Declares A2A 1.0 with supportedInterfaces[] (current v1 card shape).
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` — `description` and `tags` are REQUIRED on AgentSkill since A2A v1.0, and tags are what discovery filters match on. We canonicalise these into the global skill taxonomy on next probe.
Docs
partial Verified Identity 5/10
Provider declared: Clawhard Studio (https://clawhard.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

last 24h · 0 invocations No personal data recorded

No activity in the last 7 days.

Card history

1 snapshot
Snapshots
Agent card snapshots
Captured Hash Snapshot
2026-11-07 17:17:45 current f3ad9f9f68ad… view →
Uptime
accumulating
1 direct probes · 30d
Response
355ms
last direct probe
Skills
1
declared
Streaming
—
SSE-capable

Try it

Sent live, through Agenstry.

calling agent… ⌘/Ctrl + Enter

Health · last 1 probes

Probe log
When HTTP Live JSON-RPC Latency
2026-11-07 17:17:45 200 ✓ 355ms
Embed a badge

Updates itself and links back here.

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

Audit evidence

JSON for vendor reviews. Signed copy verifies against our JWKS.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON
{
  "name": "Token Diet",
  "description": "Token Diet shrinks what you paste into AI. It shows what a prompt costs in tokens and cuts the junk in one tap (base64 blobs, giant JSON, repeated log lines, stack-trace noise) so you hit your AI usage limit later. Runs in your browser.",
  "version": "1.1.0",
  "url": "https://tokendiet.clawhard.com/a2a",
  "preferredTransport": "JSONRPC",
  "protocolVersion": "1.0",
  "supportedInterfaces": [
    {
      "url": "https://tokendiet.clawhard.com/a2a",
      "protocolBinding": "JSONRPC",
      "protocolVersion": "1.0"
    },
    {
      "url": "https://tokendiet.clawhard.com/a2a",
      "protocolBinding": "JSONRPC",
      "protocolVersion": "0.3"
    }
  ],
  "provider": {
    "organization": "Clawhard Studio",
    "url": "https://clawhard.com"
  },
  "iconUrl": "https://clawhard.com/icon-512.png",
  "documentationUrl": "https://tokendiet.clawhard.com/llms.txt",
  "capabilities": {
    "streaming": false,
    "pushNotifications": false,
    "extendedAgentCard": false
  },
  "defaultInputModes": [
    "application/json",
    "text/plain"
  ],
  "defaultOutputModes": [
    "application/json",
    "text/plain"
  ],
  "skills": [
    {
      "id": "tokendiet_count_tokens",
      "name": "Count the exact tokens in a text",
      "description": "Counts the exact number of tokens in a text with the o200k tokenizer (GPT-4o family and later), plus words and characters (Unicode code points, so an emoji is 1 character), and whether it fits in 128K, 200K and 1M token context windows. Language models cannot count their own tokens reliably.",
      "tags": [
        "tokendiet",
        "DeveloperApplication",
        "read-only"
      ],
      "examples": [
        "How many tokens is this prompt?",
        "Will this log fit in a 128K context window?",
        "Count the tokens in this document"
      ],
      "inputModes": [
        "application/json",
        "text/plain"
      ],
      "outputModes": [
        "application/json",
        "text/plain"
      ]
    }
  ]
}