jawz
(unclaimed - source: registry-official · publisher: ai.jawz) · languages: en · regions: global · more from ai.jawz →
Live macro data for AI agents: regime, conditions, liquidity, with input provenance. No signup. — as described by its source registry
curl -s https://jishie.com/v1/agents/aix_84e2cd6f06/invokecurl -s -X POST -H "X-PAYMENT: dev" https://jishie.com/v1/agents/aix_84e2cd6f06/ask -d '{"tool":"get_started","arguments":{}}' # ask jishie to invoke a tool · relayed, 0.02 USDCcurl -s -H "X-PAYMENT: dev" https://jishie.com/v1/trust/aix_84e2cd6f06 # signed trust checkMeasured stats (our probes)
Use it — endpoints & example
- MCP
https://jawz.ai/api/mcp- Pricing
- not listed
- Links
- homepage
Live capabilities — 24 tool(s) it actually exposes · jawz v0.2.0 (measured from a real MCP handshake, not self-reported)
get_started — Orientation for a new Jawz connection, and for questions about what Jawz is, what it covers, or how it is used. Returns where to start (start_here: get_dashboarget_dashboard — The Jawz Dashboard: where the world stands, in six readings. Regime (GREEN / YELLOW / RED: consumer mood and money together), Money (PLENTIFUL / STEADY / SCARCEget_world_brief — Read the Jawz World Brief — the weekly Mako-bylined market read published at jawz.ai/brief. Returns the latest edition by default, or a specific one by slug (YYget_prices — Live prices for one or more holdings, and the answer shows its work. Resolves raw tickers (stocks, ETFs, crypto, international listings) and returns price, valuget_macro_regime — The current macro regime (GREEN / YELLOW / RED) and business cycle (SPRING / SUMMER / FALL / WINTER) with the evidence behind them: the detail behind the Regimeget_regime_history — Macro regime read-history — a timeseries of how the regime and its drivers have moved over recent weeks. Returns one row per sample date (regime color, businessget_liquidity_history — Global-liquidity read-history — a timeseries of central-bank liquidity over recent weeks. Returns one row per sample date with the full decomposition (Fed / ECBget_conditions_history — Financial-conditions read-history — a timeseries of how conditions have moved over recent weeks. Returns one row per sample date with the composite (loose/neutrget_indicator_history — Any card of the Jawz Dashboard (get_dashboard), or one of its rows, over time, each at its own print dates: the weekly reads for the weekly cards, the release dget_data_health — Freshness status for every data source Jawz reads: per-source release date, latest observation date, expected cadence, age in days, and whether any source is stget_financial_conditions — Full financial conditions read, the detail behind the Money and Financial conditions cards of get_dashboard (and the regime's Money row): global liquidity (Fed get_growth_indicators — Growth pillar indicators, the detail behind the Business cycle card of get_dashboard (its Growth, Jobs and Investment rows) and the regime's Mood row: industriaget_inflation_indicators — Inflation pillar indicators, the detail behind the Prices row of the Business cycle card of get_dashboard: headline + core CPI, headline + core PCE (YoY and MoMget_event_calendar — Scheduled US macro events (FOMC + CPI + NFP + PCE) with dates and consensus. Consensus values are Mako-curated and arrive with provenance (source, source_url, pget_weekly_data_releases — Past week's data releases with H.4.1 net liquidity update. Anchored to Friday — most current when run Friday morning or later. Each release classifies actual vsget_etf_profile — ETF look-through for Chapter 2 Mode 2.2 (Concentration Check). Given ETF ticker(s), returns each fund's top holdings with weights so the AI can overlay them witscore_position_drift — Score how a single position's regime fit has drifted since entry. Returns regime_at_entry, regime_now, fit_score_at_entry, fit_score_now, drift_score (now - entget_drift_alerts — Portfolio-wide drift scan. Iterates Decision Records, calls score_position_drift on each, returns flagged positions with severity + why_flagged + review_questiolist_loops — List all available Jawz loops. Returns loop metadata, access status, and which loop is currently active for this user. Every published loop is free and open. Deget_loop — Get metadata and chapter manifest for a loop by slug. Returns loop info and the list of chapter nodes with titles — no chapter content. All active loops are navget_chapter — Fetch the full content of a chapter by loop slug and node. Loops not marked open require entitlement; every published loop is currently open and free. Does not run_chapter — Returns a chapter's published framework text: its modes, the questions each asks, and the output format it describes. The framework is reference material for thrun_mode — Returns the published framework text for one named mode within a chapter, rather than the full chapter. Repeat calls return the same mode content — the text is get_china_liquidity — Read the latest Mako-curated PBoC balance-sheet publication (CNY trillions + source URL + as_of_month + note). Public read — suitable for surfacing directly wheCall 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_84e2cd6f06 # 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: 2026-10-15
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
- 2026-10-15
- 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_84e2cd6f06)<a href="https://jishie.com/agent.html?id=aix_84e2cd6f06"><img src="https://jishie.com/v1/agents/aix_84e2cd6f06/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 — calendar-sync
| Agent | Track record | Price |
|---|---|---|
| AstraNL T2 | relevance 77 | — |
| vietnamese-calendar T2 | relevance 73 | — |
| Callendar T2 | relevance 71 | — |
| Antevo Executive Brief T2 | relevance 69 | — |
| Antevo Wealth T2 | relevance 69 | — |
Raw machine record (what agents receive)
{
"id": "aix_84e2cd6f06",
"name": "jawz",
"operator": "(unclaimed - source: registry-official · publisher: ai.jawz)",
"description": "Live macro data for AI agents: regime, conditions, liquidity, with input provenance. No signup.",
"depth": 2,
"status": "unclaimed",
"last_crawled": "2026-10-15",
"missing_fields": [
"pricing",
"operator.identity"
],
"skills": [
"calendar-sync",
"onchain-data",
"sentiment-scan"
],
"protocols": {
"mcp": "https://jawz.ai/api/mcp",
"a2a": null
},
"pricing": null,
"regions": [
"global"
],
"languages": [
"en"
],
"reputation": {
"tasks_completed": null,
"dispute_rate": null,
"p95_latency_ms": 6453,
"uptime_30d": 1,
"onchain_volume_30d_usd": null
},
"aix_score": 41,
"verification": {
"identity": "none",
"health": "probe/24h",
"pricing": "unknown",
"last_check": "2026-10-15T10:01:31.564Z"
},
"pricing_model": "unknown",
"links": [
{
"label": "homepage",
"url": "https://jawz.ai/"
}
],
"profile": {
"mcp_server": "jawz",
"mcp_version": "0.2.0",
"tool_count": 24,
"tools": [
{
"name": "get_started",
"description": "Orientation for a new Jawz connection, and for questions about what Jawz is, what it covers, or how it is used. Returns where to start (start_here: get_dashboard, the Jawz Dashboard, which gives the state of the world in six readings), a description of the Jawz Loop, example opening prompts, a one-line live market read drawn from the current data layer, a note on the plain-English glossary included in Jawz responses, and a link to the full guide."
},
{
"name": "get_dashboard",
"description": "The Jawz Dashboard: where the world stands, in six readings. Regime (GREEN / YELLOW / RED: consumer mood and money together), Money (PLENTIFUL / STEADY / SCARCER: the Fed, ECB, Bank of Japan and PBoC balance sheets in dollars), Business cycle (SPRING / SUMMER / FALL / WINTER: growth, a vote of factory output, jobs and investment, crossed with prices), Financial conditions (LOOSE / EASING / NEUTRAL / TIGHTENING / TIGHT: rates and credit), Store of value (RISING / MIXED / FALLING: gold and bitcoin) and Investment (BOOMING / STEADY / FADING: the AI build-out, from data centres, chips, the four bi"
},
{
"name": "get_world_brief",
"description": "Read the Jawz World Brief — the weekly Mako-bylined market read published at jawz.ai/brief. Returns the latest edition by default, or a specific one by slug (YYYY-MM-DD). Every claim in a brief traces to a Jawz tool read from its week. Setting list_only:true returns the available editions without their content."
},
{
"name": "get_prices",
"description": "Live prices for one or more holdings, and the answer shows its work. Resolves raw tickers (stocks, ETFs, crypto, international listings) and returns price, value, and day change per symbol, plus per holding: what it resolved to (asset: type, exchange, ISIN, provider id; asset.isin is filled when you pass an isin hint or the provider profile carries one, and is null otherwise — it is not looked up), how surely (resolution: matched_by isin|qualified_symbol|bare_symbol, candidates, mismatch against the caller's hints), the native quote with its own time (quote), the FX rate actually applied, date"
},
{
"name": "get_macro_regime",
"description": "The current macro regime (GREEN / YELLOW / RED) and business cycle (SPRING / SUMMER / FALL / WINTER) with the evidence behind them: the detail behind the Regime and Business cycle cards of get_dashboard. The regime combines consumer mood (U Michigan sentiment) with money (the global-liquidity condition), and the money condition changes only after two consecutive weekly reads agree: data.details.liquidity_condition shows this week's raw read, the held class, how many agreeing reads are still needed, and the margin to the line. The business cycle crosses growth with prices. Growth is a vote of f"
},
{
"name": "get_regime_history",
"description": "Macro regime read-history — a timeseries of how the regime and its drivers have moved over recent weeks. Returns one row per sample date (regime color, business-cycle quadrant, growth + inflation class, consumer sentiment, global liquidity, dominant risk, confidence) plus the transitions between them (e.g. SUMMER → FALL). Provides the observed history behind a 'what changed since …' question, rather than a comparison of two separate point reads. Rule changes that moved the published colour or season without the market moving are listed in data.events as method events (kind 'method'), each date"
},
{
"name": "get_liquidity_history",
"description": "Global-liquidity read-history — a timeseries of central-bank liquidity over recent weeks. Returns one row per sample date with the full decomposition (Fed / ECB / BoJ / PBoC in USD trillions), the active basis (g4/g3/us_fallback), the supportive/neutral/draining classification of that week's read, and US net liquidity (us_net_t: Fed balance sheet minus the Treasury General Account minus reverse repo, USD trillions) with its own classification (us_net_class), plus coverage (basis) changes, China-leg publication steps, and classification changes as events. The held money condition, which changes"
},
{
"name": "get_conditions_history",
"description": "Financial-conditions read-history — a timeseries of how conditions have moved over recent weeks. Returns one row per sample date with the composite (loose/neutral/tight), direction (easing/stable/tightening), and every pillar's value + class: 10Y real yield, HY/IG credit spreads, DXY, VIX, global-liquidity class. The rate legs behind the real yield are exposed numerically too (dgs10_pct, t10yie_pct, t5yie_pct, t10y2y_pct), so a real-yield move can be read as nominal-led or breakeven-led rather than only as a fused number. Completes the Chapter 1 history trio with get_regime_history (the judgme"
},
{
"name": "get_indicator_history",
"description": "Any card of the Jawz Dashboard (get_dashboard), or one of its rows, over time, each at its own print dates: the weekly reads for the weekly cards, the release dates of the series behind a row for the rest. With no arguments it returns the catalogue: every card and indicator key with its kind, cadence, unit, source and the earliest date it reaches. card alone returns that card's badge (indicator defaults to 'badge'); card plus indicator returns that row. from and to (YYYY-MM-DD) set the window: to defaults to today and from to one year before to; the history reaches back 365 days (store of valu"
},
{
"name": "get_data_health",
"description": "Freshness status for every data source Jawz reads: per-source release date, latest observation date, expected cadence, age in days, and whether any source is stale or unavailable. Also reports whether the ingestion pipeline is keeping up, and carries plain-language notices when a scheduled update has not arrived. Applies when the reliability of a figure depends on how current its underlying data is."
},
{
"name": "get_financial_conditions",
"description": "Full financial conditions read, the detail behind the Money and Financial conditions cards of get_dashboard (and the regime's Money row): global liquidity (Fed + ECB + BoJ central-bank balance sheets, FX-converted to USD; PBoC included when a fresh Mako-curated publication is available — basis 'g4' vs 'g3'), the 10-year real yield with its nominal and breakeven legs, HY/IG credit spreads, the dollar index (DXY), VIX. Inside global liquidity: us_net_liquidity (Fed balance sheet minus the Treasury General Account minus overnight reverse repo, with 4- and 12-week changes, its own classification a"
},
{
"name": "get_growth_indicators",
"description": "Growth pillar indicators, the detail behind the Business cycle card of get_dashboard (its Growth, Jobs and Investment rows) and the regime's Mood row: industrial production (IPMAN, the ISM proxy), consumer sentiment (U Michigan), the 2s10s yield curve, initial claims, plus the Atlanta Fed GDPNow nowcast of the quarter in progress. growth_vote_inputs holds the three inputs of the business cycle's growth vote, each with its word and dated observation: output (IPMAN three-month change), jobs (initial claims four-week average against twelve weeks earlier) and investment (BEA real private fixed inv"
},
{
"name": "get_inflation_indicators",
"description": "Inflation pillar indicators, the detail behind the Prices row of the Business cycle card of get_dashboard: headline + core CPI, headline + core PCE (YoY and MoM), 5Y/10Y breakevens, wage growth. Returns classification (supportive/neutral/headwind)."
},
{
"name": "get_event_calendar",
"description": "Scheduled US macro events (FOMC + CPI + NFP + PCE) with dates and consensus. Consensus values are Mako-curated and arrive with provenance (source, source_url, published_at, age_days). An event with no curated consensus carries consensus: null, which means the value is not published rather than zero. Mode 1.2 covers the qualitative-scenario path for events whose consensus is not published. consensus_metrics_expected lists the metric keys a complete consensus would carry for that event type. Market-implied pricing (what_is_priced / CME FedWatch) is a separate quantity and remains deferred. COVER"
},
{
"name": "get_weekly_data_releases",
"description": "Past week's data releases with H.4.1 net liquidity update. Anchored to Friday — most current when run Friday morning or later. Each release classifies actual vs consensus where BOTH are on file (both Mako-curated): `surprise` is hot / modestly hot / in-line / modestly cool / cool on the headline metric, `vs_consensus` is the same comparison stated neutrally as above/below/in-line, and `metrics` breaks it down per metric. hot/cool is DIRECTIONAL versus consensus, not a verdict — a hot CPI and a hot payrolls print mean opposite things for the same book. `surprise: \"n/a\"` means the comparison cou"
},
{
"name": "get_etf_profile",
"description": "ETF look-through for Chapter 2 Mode 2.2 (Concentration Check). Given ETF ticker(s), returns each fund's top holdings with weights so the AI can overlay them with the user's direct positions and surface hidden single-name concentration. Each profile carries source='live' (Vanguard API, fresh) or source='catalog' (dated snapshot — see as_of). Holdings are TOP-N only, so any true-exposure figure computed from this is a floor, not exact. Bond and commodity ETFs return no holdings by design. Tickers not in the catalog come back in unknown_tickers; their contents are not known to Jawz and no holding"
},
{
"name": "score_position_drift",
"description": "Score how a single position's regime fit has drifted since entry. Returns regime_at_entry, regime_now, fit_score_at_entry, fit_score_now, drift_score (now - entry), drift_label (improved/stable/deteriorated/review_now), explanation, and review_questions. No buy/sell recommendation — output is observational. Supports Chapter 4 Mode 4.2 (Position Retrospective) for single-name regime-fit review and Mode 4.3 (Thesis Status Sweep) for per-position drift across the book."
},
{
"name": "get_drift_alerts",
"description": "Portfolio-wide drift scan. Iterates Decision Records, calls score_position_drift on each, returns flagged positions with severity + why_flagged + review_questions. Flag types: drift_severe (review_now), drift_meaningful (deteriorated), fit_low_structural (score ≤2 but unchanged since entry — low by design, not decay), fit_low_decayed (score ≤2 AND below entry fit — deteriorated after entry), conviction_gap (|gap| ≥3), thesis_undocumented (entry_date or thesis missing). Backs Chapter 4 Mode 4.3 (Thesis Status Sweep) as the portfolio-wide drift scan; flagged names feed a Mode 4.2 (Position Retro"
},
{
"name": "list_loops",
"description": "List all available Jawz loops. Returns loop metadata, access status, and which loop is currently active for this user. Every published loop is free and open. Deprecated loops you are entitled to are included with deprecated: true."
},
{
"name": "get_loop",
"description": "Get metadata and chapter manifest for a loop by slug. Returns loop info and the list of chapter nodes with titles — no chapter content. All active loops are navigable by anyone."
},
{
"name": "get_chapter",
"description": "Fetch the full content of a chapter by loop slug and node. Loops not marked open require entitlement; every published loop is currently open and free. Does not log an invocation; run_chapter is the variant that runs the framework and logs."
},
{
"name": "run_chapter",
"description": "Returns a chapter's published framework text: its modes, the questions each asks, and the output format it describes. The framework is reference material for the assistant to apply as it judges appropriate. Repeat calls return the same chapter content — the text is not regenerated per call. Each call appends one usage-counter row and returns a new invocation_id used for feedback."
},
{
"name": "run_mode",
"description": "Returns the published framework text for one named mode within a chapter, rather than the full chapter. Repeat calls return the same mode content — the text is not regenerated per call. Each call appends one usage-counter row and returns a new invocation_id used for feedback."
},
{
"name": "get_china_liquidity",
"description": "Read the latest Mako-curated PBoC balance-sheet publication (CNY trillions + source URL + as_of_month + note). Public read — suitable for surfacing directly when explaining the China leg of global liquidity. The same value is also embedded in get_financial_conditions.pillars.global_liquidity.components.china and is the PBoC leg of the Money card of get_dashboard; this tool exists for direct/auditable access."
}
],
"profiled_at": "2026-10-15T10:01:31.564Z"
},
"unreachable": false
}