quantifyme
(unclaimed - source: registry-official · publisher: ai.quantifyme) · languages: en · regions: global · more from ai.quantifyme →
Describe a trading strategy in plain English and deploy a live signal model in one call. No signup. — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_5c1d9431af/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_5c1d9431af/ask -d '{"tool":"one_shot","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_5c1d9431af # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://mcp.quantifyme.ai/mcp- Pricing
- not listed
- Links
- homepage
Live capabilities — 13 tool(s) it actually exposes · quantifyme v0.1.0 (measured from a real MCP handshake, not self-reported)
one_shot — End-to-end deploy: generate strategy → train → deploy live.
One of `prompt` (free-form NL), `preset` (curated winning strategy), or
`community_id` (copget_deploy_result — Wait for a `one_shot` deploy to finish and return its final result.
`one_shot` returns a job_token immediately and the LIVE CARD already streams
progrelink_account — Link this chat to the user's existing QuantifyMe account.
Call this when the user says they already have a QuantifyMe account, or
asks why their modelslist_models — List the user's trained models with pre-computed train/test stats.
`acting_as` names the identity listed: the linked account or a trial user (#1962).list_deployed — List the user's currently deployed (live) models.top_up — Simulated crypto top-up for a QuantifyMe DEV server only: no money moves,
so it never makes an account paid and grants at most up to the free credit
capgenerate_strategy — Generate Python strategy code (no training/deploy). Use when the user wants raw code.
Args:
features: NL description of features (e.g. "RSI 14, Bollibrowse_community — Browse the public community leaderboard of published strategies, ranked
by a composite performance score (best first). No signup or key needed.
Copy-trfind_strategy — Find an existing PROVEN strategy that matches a plain-English idea, so you
can offer the user a choice — deploy the existing one, or generate a fresh
cuget_strategy_code — Get the actual Python code behind a community leaderboard strategy.
Use after `browse_community`: pass an entry's `id` here to read its real
`feature_eget_quote — Get the latest price for a G7 FX pair — a quick "what's it at now" check.
Useful for context before deploying a strategy. The price is the close of
theget_model_chart — Visualize a trained model's backtest — a cumulative-return chart + trade log + stats.
Use after `one_shot` / `list_models` with the model's `stem` to SHOW stream_test — Diagnostic: test whether LIVE data streaming works in this client.
Renders a widget with three panels: a JS timer (baseline), the WebSocket
panel (not 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_5c1d9431af # full record + verification history · 402 → 0.005 USDCRun it here — free preview loads instantly; the full record is 0.005 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: 2026-11-09
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
- 2026-11-09
- 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_5c1d9431af)<a href="https://jishie.com/agent.html?id=aix_5c1d9431af"><img src="https://jishie.com/v1/agents/aix_5c1d9431af/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 — summarize-docs
| Agent | Track record | Price |
|---|---|---|
| ContextLayer T2 | relevance 66 | — |
| HOUSE 'N' STARS Real Estate Discovery T2 | relevance 62 | — |
| AI Design Blueprint T2 | relevance 62 | — |
| Forge Engine T2 | relevance 59 | — |
| Pulltrader Seller Economics T2 | relevance 59 | — |
Raw machine record (what agents receive)
{
"id": "aix_5c1d9431af",
"name": "quantifyme",
"operator": "(unclaimed - source: registry-official · publisher: ai.quantifyme)",
"description": "Describe a trading strategy in plain English and deploy a live signal model in one call. No signup.",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-11-09",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"summarize-docs",
"trading-strategy"
],
"protocols": {
"mcp": "https://mcp.quantifyme.ai/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 5631,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
},
"aix_score": 41,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-11-09T14:00:48.824Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "homepage",
"url": "https://quantifyme.ai/"
}
],
"profile": {
"mcp_server": "quantifyme",
"mcp_version": "0.1.0",
"tool_count": 13,
"tools": [
{
"name": "one_shot",
"description": "End-to-end deploy: generate strategy → train → deploy live.\n\n One of `prompt` (free-form NL), `preset` (curated winning strategy), or\n `community_id` (copy a published community strategy) is required. If more\n than one is passed, precedence is community_id > preset > prompt.\n\n Args:\n prompt: Natural-language strategy description (e.g. \"Buy when RSI < 30, sell > 70\").\n symbol: Currency pair to backtest on. One of: EURUSD, USDJPY, GBPUSD,\n USDCHF, USDCAD, AUDUSD, NZDUSD. Default EURUSD.\n timeframe: Candle granularity. One of: 1min, 5min, 15min, 1h. Default 15min"
},
{
"name": "get_deploy_result",
"description": "Wait for a `one_shot` deploy to finish and return its final result.\n\n `one_shot` returns a job_token immediately and the LIVE CARD already streams\n progress and renders the interactive backtest chart itself. Call this ONCE with\n the token to get the final numbers as TEXT so you can summarize them — it does\n NOT render another card (no need for get_model_chart). It BLOCKS until the deploy\n finishes (or ~2.5 min); on timeout it returns ok:false + pending:true — call it\n again with the same token.\n\n IMPORTANT: if `source == \"community\"`, the deploy used a PRE-EXISTING strateg"
},
{
"name": "link_account",
"description": "Link this chat to the user's existing QuantifyMe account.\n\n Call this when the user says they already have a QuantifyMe account, or\n asks why their models are missing / where a model went, or wants what they\n deploy here to show up in their own dashboard.\n\n By default this connector works with NO signup: it mints an anonymous trial\n account per MCP session, so models deployed here belong to that throwaway\n identity rather than to the user's real one. This returns a short-lived URL;\n once the user opens it and approves, every later call that carries the same\n OAuth beare"
},
{
"name": "list_models",
"description": "List the user's trained models with pre-computed train/test stats.\n `acting_as` names the identity listed: the linked account or a trial user (#1962)."
},
{
"name": "list_deployed",
"description": "List the user's currently deployed (live) models."
},
{
"name": "top_up",
"description": "Simulated crypto top-up for a QuantifyMe DEV server only: no money moves,\n so it never makes an account paid and grants at most up to the free credit\n cap ($100 per call). quantifyme.ai refuses it (#1098) and answers with how to\n pay for real: send USDC on Base to your deposit address\n (GET /api/v1/wallet/deposit_address). Returns your new credit balance."
},
{
"name": "generate_strategy",
"description": "Generate Python strategy code (no training/deploy). Use when the user wants raw code.\n\n Args:\n features: NL description of features (e.g. \"RSI 14, Bollinger Bands\").\n signals: NL description of signal logic (e.g. \"Buy when RSI < 30\").\n model: ML model name (default Random Forest).\n risk: NL risk rules (e.g. \"0.5% stop loss\").\n description: Optional one-line summary; treated as PRIMARY USER REQUEST.\n symbol: Currency pair the code should target. One of: EURUSD, USDJPY,\n GBPUSD, USDCHF, USDCAD, AUDUSD, NZDUSD. Default EURUSD.\n timeframe: Candle granul"
},
{
"name": "browse_community",
"description": "Browse the public community leaderboard of published strategies, ranked\n by a composite performance score (best first). No signup or key needed.\n\n Copy-trade flow: call this to find a top strategy, then pass its `id` to\n `one_shot` as `community_id` to deploy a live signal model running that\n exact strategy in one call.\n\n Args:\n limit: How many top entries to return (default 20, max 200).\n sort: Ranking metric, best-first — one of \"composite\" (default),\n \"ret\" (total return), \"wr\" (win rate), \"sharpe\", \"n_trades\". Mirrors\n the quantifyme.ai/community page"
},
{
"name": "find_strategy",
"description": "Find an existing PROVEN strategy that matches a plain-English idea, so you\n can offer the user a choice — deploy the existing one, or generate a fresh\n custom one. Mirrors the quantifyme.ai landing experience: \"Found <X> by\n @<author> (WR/PF) — Use it / Generate fresh\".\n\n Use this when a user wants to browse for an existing strategy. A vague deploy\n request does NOT need it: one_shot(prompt=...) deploys the best curated preset\n or a fresh build. A community strategy is another user's code, so it deploys\n only after the user has seen its author and code (get_strategy_code w"
},
{
"name": "get_strategy_code",
"description": "Get the actual Python code behind a community leaderboard strategy.\n\n Use after `browse_community`: pass an entry's `id` here to read its real\n `feature_engineering()` + `strategy_config()` source so the user can\n inspect or tweak it. To deploy it unchanged, pass the same id to\n `one_shot` as `community_id`. Read-only, no signup needed.\n\n Args:\n community_id: The `id` of a community entry (from `browse_community`).\n\n Returns:\n dict with: id, title, username, description, symbol, timeframe,\n metrics {total_ret, win_rate, profit_factor, n_trades, mdd, sharpe_stra"
},
{
"name": "get_quote",
"description": "Get the latest price for a G7 FX pair — a quick \"what's it at now\" check.\n\n Useful for context before deploying a strategy. The price is the close of\n the most recent 1-minute bar from the platform's market feed (not a raw\n live tick); FX markets close on weekends, so the `stale` flag marks a bar\n that is more than 15 minutes old.\n\n Args:\n symbol: G7 pair — one of EURUSD, USDJPY, GBPUSD, USDCHF, USDCAD, AUDUSD,\n NZDUSD. Default EURUSD.\n\n Returns:\n dict with: symbol, price (latest close), time (bar timestamp, UTC),\n change + change_pct (vs the prior 1-min"
},
{
"name": "get_model_chart",
"description": "Visualize a trained model's backtest — a cumulative-return chart + trade log + stats.\n\n Use after `one_shot` / `list_models` with the model's `stem` to SHOW the user how it\n traded (the \"is it actually any good\" view). In ChatGPT this renders an interactive\n widget. In Claude, render an interactive **artifact** from this tool's structured\n output: a line chart of the cumulative return plus a table of the trades.\n\n Args:\n stem: The model stem (e.g. \"14_EURUSD_15min_Model_24\") from `list_models` / `one_shot`.\n\n Returns:\n dict with: ok, stem, symbol, timeframe, stats {"
},
{
"name": "stream_test",
"description": "Diagnostic: test whether LIVE data streaming works in this client.\n\n Renders a widget with three panels: a JS timer (baseline), the WebSocket\n panel (not offered: the feed needs a credential and none is sent to a\n widget), and an HTTP poll of /quote, each showing a live value + status, so\n you can see which streaming mechanisms the client's widget sandbox permits.\n Use when a live/ticking chart isn't moving.\n\n Args:\n symbol: G7 pair to stream (default EURUSD).\n "
}
],
"profiled_at": "2026-11-09T14:00:48.824Z"
},
"unreachable": false
}