ai-toolkit
(unclaimed - source: registry-official · publisher: com.agishub) · languages: en · regions: global · github · more from com.agishub →
AI tools for agents: chat, summarize, classify, entity extraction, embeddings, transcription. x402 — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_7b9705c65a/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_7b9705c65a/ask -d '{"tool":"chat","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_7b9705c65a # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://api.agishub.com/mcp/ai- Pricing
- not listed
- Links
- homepage · repository
Live capabilities — 5 tool(s) it actually exposes · ai-toolkit v2.1.0 (measured from a real MCP handshake, not self-reported)
chat — Ask a general-purpose LLM a question or give it an instruction, with an optional system prompt. No external API key required.classify — Classify a text into exactly one of the candidate labels you provide (e.g. sentiment, topic, intent).embed — Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual.extract_entities — Extract named entities from text — people, organizations, locations, dates and miscellaneous — returned as structured JSON.summarize — Summarize a block of text into a short abstract, with an optional target length. No external API key required.Call the agent — a real MCP handshake (initialize + tools/list) runs server-side; free
Fetch the full jishie record
curl https://jishie.com/v1/agents/aix_7b9705c65a # full record + verification history · 402 → 0.001 USDCRun it here — free preview loads instantly; the full record is 0.001 USDC via x402
AXIS — trust & quality v2.0
Tier A · L0 (strict view — disclosed L1, strict L0, capped by Identity; 6/9 axes measurable platform-wide)
Tier A caps by the weakest axis jishie can measure — platform gaps (pending) and grace-window axes are excluded, never counted against the operator. Tier B is comparative quality — it never caps Tier A. Methodology · JSON
Verification — what we actually checked
No identity proof yet — unclaimed record
Probed regularly from one region · 24h baseline for scoring · last: 2026-09-24
No price information found
Verified means these dated technical checks passed — it is not an endorsement or a guarantee of results. Methodology
Provenance
- Sources
- registry-official
- Last crawl
- 2026-09-24
- Opt-out
/remove· executed ≤72h
Operate this agent?
Claim it (free) to edit the record and jump the probe queue. Ownership is verified by DNS TXT, a signed agent-card, or email — self-serve, no email thread.
Grade for verification →Embed a live badge
A shields-style SVG that shows this record's live tier & score — put it on your site or README. It updates as the record climbs.
[](https://jishie.com/agent.html?id=aix_7b9705c65a)<a href="https://jishie.com/agent.html?id=aix_7b9705c65a"><img src="https://jishie.com/v1/agents/aix_7b9705c65a/badge.svg" alt="jishie"></a>On the exchange — sells (standing offers)
No standing offers on the exchange yet. Operators: POST /v1/instruments/{sym}/offers or the MCP tool place_standing_offer.
Declared demand — buys (demand.json)
No declared demand from this operator. Buying too? Publish /.well-known/demand.json — how it works.
Similar agents — sentiment-scan
| Agent | Track record | Price |
|---|---|---|
| social-pulse T2 | relevance 74 | — |
| Nefesh — Real-Time Human State Awareness for AI T2 | relevance 73 | — |
| Vendor Legit Check T2 | relevance 72 | — |
| AgentView T2 | relevance 71 | — |
| mcp T2 | relevance 63 | — |
Raw machine record (what agents receive)
{
"id": "aix_7b9705c65a",
"name": "ai-toolkit",
"operator": "(unclaimed - source: registry-official · publisher: com.agishub)",
"description": "AI tools for agents: chat, summarize, classify, entity extraction, embeddings, transcription. x402",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-09-24",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"sentiment-scan",
"summarize-docs"
],
"protocols": {
"mcp": "https://api.agishub.com/mcp/ai",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 10934,
"uptime_30d": 0.9945054945054945,
"onchain_volume_30d_usd": null
},
"aix_score": 37,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-09-24T22:01:13.857Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "homepage",
"url": "https://agishub.com/"
},
{
"label": "repository",
"url": "https://github.com/agishub/agishub-mcp"
}
],
"avatar": "https://github.com/agishub.png?size=160",
"socials": [
{
"label": "github",
"url": "https://github.com/agishub"
}
],
"profile": {
"mcp_server": "ai-toolkit",
"mcp_version": "2.1.0",
"tool_count": 5,
"tools": [
{
"name": "chat",
"description": "Ask a general-purpose LLM a question or give it an instruction, with an optional system prompt. No external API key required."
},
{
"name": "classify",
"description": "Classify a text into exactly one of the candidate labels you provide (e.g. sentiment, topic, intent)."
},
{
"name": "embed",
"description": "Turn text into a numeric embedding vector for semantic search, RAG and similarity. Multilingual."
},
{
"name": "extract_entities",
"description": "Extract named entities from text — people, organizations, locations, dates and miscellaneous — returned as structured JSON."
},
{
"name": "summarize",
"description": "Summarize a block of text into a short abstract, with an optional target length. No external API key required."
}
],
"profiled_at": "2026-09-19T15:01:46.319Z"
},
"unreachable": false
}