_ registry / mcp + a2a streamable-http · checked 2h ago

Alternative Asset Literacy

https://alternativeassetliteracy.com

Registry code: 270ef54cfd7f8dd7

api record

Alternative-asset education for retail investors: deep-dive tracks, calculators, advisor lookup.

from a public catalogue that lists it, not from the operator

endpoint
https://alternativeassetliteracy.com/mcp
door code
a8a167153f857e8b
protocol
streamable-http ·2025-03-26
authentication
none observed
public key
none — nobody has proven they own this listing · is it yours? claim it
karma
0 · newcomer
_ is it live, free and safe measured by this hub
Is Alternative Asset Literacy live?
Yes — it answered the hub's last check (checked 2h ago). It answered 99% of checks over the last 30 days.
Is Alternative Asset Literacy free to use?
Partly — some of its tools are open, others need a key or payment.
What tools does Alternative Asset Literacy have?
32 tools: advisor.post_meeting_followup, glossary.lookup, glossary.search, glossary.browse, advisor.gift_bundle, disclosures.get, advisor.meeting_icebreaker, advisor.registration_check, ….
Is Alternative Asset Literacy safe to connect?
The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
reachable
live
uptime, 30 days
99.4%

90 days 99.4%· all time 99.3%

latency
164ms

last good check

priced tools
0

of 32 tools

_ answered our checks, 90 days 1424 checks · signed record
  • degraded → live
  • live → degraded· endpoint unreachable (timeout after 20000ms); card still served
  • degraded → live
  • live → degraded· timeout after 20000ms
  • degraded → live
_ what it is for
topic
education & learning learning & tutoring
used for
  • learn about alternative assets
  • look up a financial term
  • check an adviser's registration
  • prepare for a client meeting
  • model private-fund commitment pacing
takes → gives
text, data → text, data
tools
25 reads
_ usage and payments 30 days

Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.

accounts
0

through this hub

calls served
0

successful

paid through this hub
0 USDC

what callers paid

_ what it can do 32 tools
10 open21 auth-required 1 never probed 31 of 32 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • glossary.lookup reads open 28h ago

    Look up a financial term from the 351-term glossary spanning alternative assets, DeFi, ESG, behavioral economics, art, and gender lens investing.

    mcp-tool

    {
  "type": "object",
  "required": [
    "term"
  ],
  "properties": {
    "term": {
      "type": "string",
      "description": "The financial term to look up (e.g. 'carried interest', 'impermanent loss', 'TCFD', 'green bonds')"
    }
  }
}
    arguments 12 lines
  • glossary.search reads open 23h ago

    Full-text search across all 351 financial terms and definitions — alternative assets, DeFi, behavioral economics, art, ESG, and gender lens investing.

    mcp-tool

    {
  "type": "object",
  "required": [
    "query"
  ],
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max results to return (default 10, max 50)"
    },
    "query": {
      "type": "string",
      "description": "Keyword or phrase to search across term names and definitions (e.g. 'carbon credit', 'liquidity pool', 'loss aversion')"
    }
  }
}
    arguments 16 lines
  • glossary.browse open 21h ago

    Browse all 351 glossary terms by category. Categories: Alternative Assets, Art, DeFi & Crypto, ESG & Climate, Behavioral Economics, Gender Lens Investing. Omit category to browse all terms.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "limit": {
      "type": "number",
      "description": "Max terms to return (default 25, max 100)"
    },
    "category": {
      "type": "string",
      "description": "Category to browse — e.g. 'Art', 'DeFi & Crypto', 'ESG & Climate', 'Behavioral Economics', 'Alternative Assets', 'Gender Lens Investing'. Omit for all categories."
    }
  }
}
    arguments 13 lines
  • advisor.gift_bundle reads open 18h ago

    Given a description of a client, returns an education bundle an advisor can share: a 3-module learning path, 3 key terms, a suggested message to send the client, and toolkit highlights.

    mcp-tool

    {
  "type": "object",
  "required": [
    "client_description"
  ],
  "properties": {
    "topic": {
      "type": "string",
      "description": "Optional topic focus — overrides profile matching if provided (e.g. 'DeFi', 'ESG', 'art investing', 'alternative assets')"
    },
    "client_description": {
      "type": "string",
      "description": "Description of the client — their background, wealth level, interests, upcoming meeting context, or knowledge gaps (e.g. 'HNW woman who just sold her biotech company, meeting with UBS next month', 'DeFi-curious client asking about yield farming', 'ESG-focused client worried about greenwashing in her portfolio')"
    }
  }
}
    arguments 16 lines
  • disclosures.get reads open 2h ago

    Returns disclosure text of two kinds, plus the accredited investor definition and a risk disclosure. The 'regulatory' disclosure describes what this service's content is and is not, names this service's operator, and is for the advisor's own records. The 'client_facing' disclosure is neutral boilerplate without company branding, written to be appended to client communications.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • advisor.meeting_icebreaker reads open 13h ago

    Returns a meeting opener for the first minute of a client call: one sourced statistic, one related glossary term and a suggested opening line. Uses only the fact bank and the glossary.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "topic": {
      "enum": [
        "Women & Finance",
        "Behavioral Economics",
        "Alternative Investing",
        "Art Market"
      ],
      "type": "string",
      "description": "Optional topic to bias the opener toward. Omit for a surprise pick."
    }
  }
}
    arguments 15 lines
  • advisor.registration_check reads open 18h ago

    Looks up a firm or individual in the public SEC Investment Adviser Public Disclosure (IAPD) and FINRA BrokerCheck records. Returns registration scope (active or inactive, broker-dealer and/or investment adviser) and whether either record lists a disclosure event. The searched name is sent to those two public services. A starting point for due diligence, not a substitute for the full public record.

    mcp-tool

    {
  "type": "object",
  "required": [
    "query",
    "search_type"
  ],
  "properties": {
    "query": {
      "type": "string",
      "description": "The advisor or firm name to search for"
    },
    "search_type": {
      "enum": [
        "individual",
        "firm"
      ],
      "type": "string",
      "description": "Whether to search for a person or a firm"
    }
  }
}
    arguments 21 lines
  • facts.random reads open 26h ago

    Returns a short, sourced statistic about women and finance, behavioral economics, alternative investing, or the art market, with the original source cited. Optional category filter.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "category": {
      "enum": [
        "Women & Finance",
        "Behavioral Economics",
        "Alternative Investing",
        "Art Market"
      ],
      "type": "string",
      "description": "Optional category filter. Omit for any category."
    }
  }
}
    arguments 15 lines
  • modules.get_content reads open 23h ago

    Returns educational content (sections, citations, quiz preview) for one of 9 learning modules: Investing Primer, Alternative Investing, Behavioral Economics, Gender and Behavioral Investing, DeFi, Art as Investment, Climate/ESG & Real World Assets, DeFi Investing, and Kahlo x Basquiat. The Investing Primer is returned in full; each other module returns its first section(s) and first quiz, with the remaining sections listed by title. Narrative educational content only.

    mcp-tool

    {
  "type": "object",
  "required": [
    "module_id"
  ],
  "properties": {
    "module_id": {
      "type": "string",
      "description": "Module id or title (e.g. 'mod_art', 'Art as Investment', 'mod_defi_investing', 'DeFi Investing')"
    }
  }
}
    arguments 12 lines
  • reading.list open 21h ago

    Returns a curated reading list spanning behavioral economics, venture capital, economic history and policy, each with author, year, summary and an Apple Books link.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "category": {
      "enum": [
        "Behavioral Economics",
        "Venture Capital",
        "Economic History",
        "Policy"
      ],
      "type": "string",
      "description": "Optional category filter."
    }
  }
}
    arguments 15 lines
  • art.library auth-required 11h ago

    Searches a curated library of books, podcasts and academic papers on art history, markets and investing. Filter by category ('books', 'podcasts', 'papers') and/or a free-text query against title, author and summary.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Optional free-text search across title/author/summary"
    },
    "category": {
      "enum": [
        "books",
        "podcasts",
        "papers"
      ],
      "type": "string",
      "description": "Optional category filter. Omit for all."
    }
  }
}
    arguments 18 lines
  • behavioral.brain_map reads auth-required 6h ago

    Returns the neuroscience of investment decision-making — the prefrontal cortex, amygdala, nucleus accumbens, and anterior insula — each with its investing relevance, how it gets 'hijacked' into bad decisions, and concrete navigation strategies. Useful for explaining WHY a bias happens, not just naming it.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "region": {
      "type": "string",
      "description": "Optional region name/id filter (e.g. 'amygdala', 'prefrontal'). Omit for all 4."
    }
  }
}
    arguments 9 lines
  • advisor.competency_check reads auth-required 16h ago

    Returns 53 questions across 7 categories (DeFi/crypto, ESG/climate, alternative investing, art, behavioral finance, gender-lens investing, general fiduciary and planning). Each question includes signs of an inadequate answer, signs of a competent answer, and why it matters. Use it to prepare for questions a client may ask about a topic.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "topic": {
      "type": "string",
      "description": "Optional topic filter: 'defi', 'esg', 'alt', 'art', 'behavioral', 'gender', or 'general' — or a free-text match against the set/category titles. Omit for all 7 sets."
    }
  }
}
    arguments 9 lines
  • advisor.explain_holding auth-required 18h ago

    Given an asset type or structure label (for example 'private equity fund', 'DeFi position', 'art fund'), returns a plain-language definition, the cognitive bias most likely to affect how a client perceives it, a matching due-diligence framework reference, and one talking point that does not assert suitability. Use it to explain what a holding is.

    mcp-tool

    {
  "type": "object",
  "required": [
    "holding_type"
  ],
  "properties": {
    "holding_type": {
      "type": "string",
      "description": "The asset type or structure, e.g. 'private equity fund', 'DeFi position', 'hedge fund', 'art fund', 'ESG fund'"
    },
    "client_risk_tolerance": {
      "type": "string",
      "description": "Optional, for context only — this tool does not make a suitability determination"
    }
  }
}
    arguments 16 lines
  • advisor.compliance_scan reads auth-required 28h ago

    Checks a draft client communication about alternative assets for anecdotal or FOMO framing, suitability-assertion language, and missing accredited-investor or risk disclosure when it discusses PE, VC, hedge funds, DeFi or art funds. Returns flagged passages with severity and a suggested fix. Use it on a draft before it is sent to a client.

    mcp-tool

    {
  "type": "object",
  "required": [
    "draft_text"
  ],
  "properties": {
    "draft_text": {
      "type": "string",
      "description": "The advisor's draft client communication to check"
    }
  }
}
    arguments 12 lines
  • art.deep_dive_track reads auth-required 11h ago

    The financial and legal mechanics of the art market: advisor conflicts of interest, provenance and authentication risk, primary versus secondary market signals, 2023-2025 Artprice100 index performance, and older academic return studies (Mei & Moses; Renneboog & Spaenjers), presented as historical context. The two studies reach different conclusions.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • defi.deep_dive_track reads auth-required 6h ago

    Decentralized finance as an asset class: protocol-level revenue mechanics (Aave, Uniswap), documented failure modes (Terra/Luna, smart contract exploits), sizing, custody and tax considerations, and the current state of peer-reviewed DeFi research.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • gender_lens.advisor_practice_track reads auth-required 26h ago

    The advice gap and the gender-lens investing gap as practice issues for an advisor: auditing your own recommendation patterns, couples and continuity dynamics, handling a client's gender-lens request with screening and due diligence, and peer-reviewed research for having the conversation.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • vc_pe.deep_dive_track auth-required 13h ago

    Why venture capital and private equity are separate asset classes, what verifying a client's accredited investor status requires of the advisor of record (506(b) self-certification versus 506(c) verification), and how to approach a family-office conversation, including the SEC's 2011 Family Office Rule and 2026 single- and multi-family-office cost and AUM-threshold data. Written from the advisor's practice and compliance perspective.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • pe_secondaries.deep_dive_track reads auth-required 21h ago

    How to evaluate a client's roll-or-cash-out decision in a GP-led continuation fund: governance questions (fairness opinion provenance, LPAC engagement), fee-clock incentives and behavioral framing for the client and the GP, and how to present triple-bottom-line and gender-lens angles as hypotheses. Written from the advisor's practice and compliance perspective.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • art.learning_track reads auth-required 11h ago

    Returns the Art Learning Track: 3 tracks and 9 lessons covering art concepts and practices (value, market fundamentals, evaluation), female artists as an asset class (the historical valuation gap and market opportunity), and an art investor's toolkit (research resources, due diligence, working with professionals). Use it for art history and appreciation background.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "track": {
      "type": "string",
      "description": "Optional track id/title filter (e.g. 'female-artists-track'). Omit for all 3 tracks."
    }
  }
}
    arguments 9 lines
  • advisor.commitment_pacing_model reads auth-required 2h ago

    Models a multi-year program of private-fund commitments (PE, VC, private credit and similar): capital calls, distributions, unrealized NAV, and the year with the worst net cash flow, using a simplified adaptation of the Takahashi-Alexander pacing framework. Contribution pace, distribution pace and fund life are inputs. Runs across several named forward-looking growth scenarios by default; set scenario to a single id for one result. Pass annual_liquidity_budget to flag the years a stated budget would be breached.

    mcp-tool

    {
  "type": "object",
  "required": [
    "annual_commitment"
  ],
  "properties": {
    "scenario": {
      "type": "string",
      "description": "A single market-assumptions.js scenario id (historical_baseline, regime_transition, ai_productivity_acceleration, structural_stagnation) to run one scenario only — omit to run the default set and see the range"
    },
    "vintage_years": {
      "type": "number",
      "description": "How many consecutive years the client keeps making new commitments (default 5)"
    },
    "fund_life_years": {
      "type": "number",
      "description": "Assumed life of each fund vintage in years (default 12)"
    },
    "annual_commitment": {
      "type": "number",
      "description": "Dollar amount committed to new private-fund vintages each year"
    },
    "rate_of_contribution": {
      "type": "number",
      "description": "Fraction of a vintage's uncalled capital called per year during its investment period (default 0.30)"
    },
    "rate_of_distribution": {
      "type": "number",
      "description": "Base annual distribution rate applied to NAV, back-loaded via a bow curve (default 0.20)"
    },
    "annual_liquidity_budget": {
      "type": "number",
      "description": "Optional — the client's actual annual liquidity budget for capital calls, to flag years it would be breached"
    },
    "investment_period_years": {
      "type": "number",
      "description": "Years each vintage actively calls capital before calls stop (default 5)"
    }
  }
}
    arguments 40 lines
  • gdr.deep_dive_track reads auth-required 26h ago

    A 2026 proposal, not institutionally adopted, to measure an economy by what it regenerates (ecological, social and capital dimensions) rather than what it produces. Presented as an unvalidated framework alongside established 'beyond GDP' precedents: Bhutan's Gross National Happiness Index, the UN SEEA Ecosystem Accounting standard, state-level Genuine Progress Indicators and Doughnut Economics.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • research.papers reads auth-required 16h ago

    Returns institutional research papers by category: 43 papers from the IMF, BIS, World Bank, FSB, UN, Federal Reserve, EU, IFC, OECD and TCFD. Use it to find primary sources on a topic.

    mcp-tool

    {
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "description": "Category: CBDC, Stablecoin, ESG, Behavioral Economics, Gender Lens, Fintech, Cross-Border Payments. Omit for all categories."
    }
  }
}
    arguments 9 lines
  • rwa.deep_dive_track reads auth-required 16h ago

    How to discuss tokenized Treasuries, money-market funds and other on-chain-wrapped assets with a client without conflating them with speculative crypto: due-diligence questions (structural model, redemption cap, custodian concentration), suitability framing around liquidity mismatch, and the state of SEC guidance as of January 2026. Written from the advisor's practice and compliance perspective.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • advisor.retirement_monte_carlo_estimator auth-required 8h ago

    Runs a Monte Carlo simulation (thousands of trials) estimating the odds that a client's savings and contributions support a stated retirement income target. It does not assume a fixed withdrawal rule such as the 4% rule; the target income is an input. Results are reported under each of several named forward-looking market scenarios by default. An educational planning aid, not a recommendation.

    mcp-tool

    {
  "type": "object",
  "required": [
    "current_age",
    "retirement_age",
    "current_savings",
    "annual_contribution",
    "desired_annual_retirement_income"
  ],
  "properties": {
    "scenario": {
      "type": "string",
      "description": "A single scenario id to run one scenario only — omit to run the default set and see the range"
    },
    "current_age": {
      "type": "number",
      "description": "The client's current age in years"
    },
    "equity_weight": {
      "type": "number",
      "description": "Fraction of the portfolio in equity-like assets, 0-1 (default 0.6)"
    },
    "retirement_age": {
      "type": "number",
      "description": "The age the client plans to retire and begin withdrawals"
    },
    "current_savings": {
      "type": "number",
      "description": "Current portfolio balance in today's (real) dollars"
    },
    "life_expectancy": {
      "type": "number",
      "description": "Planning horizon age (default 90)"
    },
    "annual_contribution": {
      "type": "number",
      "description": "Amount contributed per year, in today's (real) dollars, during the years between current_age and retirement_age"
    },
    "desired_annual_retirement_income": {
      "type": "number",
      "description": "The client's own target annual retirement income in today's (real) dollars — required; this tool will not assume a withdrawal rate"
    }
  }
}
    arguments 44 lines
  • advisor.daily_prep reads auth-required 23h ago

    Returns a prep briefing for each of a day's client meetings in one call. Input is a list of meetings (client description, optional topic, optional time). Each briefing has the matched topic, two key terms, a sourced opening fact, and a risk-alignment summary if a risk tolerance was given. It does not access any calendar; the advisor supplies the meetings.

    mcp-tool

    {
  "type": "object",
  "required": [
    "meetings"
  ],
  "properties": {
    "meetings": {
      "type": "array",
      "items": {
        "type": "object",
        "required": [
          "client_description"
        ],
        "properties": {
          "time": {
            "type": "string",
            "description": "Optional meeting time, for display/ordering only"
          },
          "topic": {
            "type": "string",
            "description": "Optional topic override (e.g. 'DeFi', 'ESG', 'art investing')"
          },
          "client_description": {
            "type": "string",
            "description": "Client background, interests, or context for this meeting"
          }
        }
      },
      "description": "The day's meetings"
    }
  }
}
    arguments 32 lines
  • behavioral.deep_dive_track reads auth-required 6h ago

    Decision-making across asset classes: advisor self-awareness, structural tools for managing client behavior, framing effects, mental accounting, and the peer-reviewed foundations (Kahneman & Tversky; De Bondt & Thaler).

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • toolkit.frameworks reads auth-required 13h ago

    Returns asset-class-spanning advisor frameworks — due diligence checklists, red flags, risk assessment, position sizing, tax considerations, essential legal documents, advisor-team building, total-cost breakdowns, and market research databases. Optionally filter by category ('Research', 'Due Diligence', 'Professionals', 'Risk Management', 'Tax & Legal') or by asset class (e.g. 'Art', 'DeFi', 'Private Equity').

    mcp-tool

    {
  "type": "object",
  "properties": {
    "category": {
      "type": "string",
      "description": "Optional category or asset-class filter. Omit for all 12 frameworks."
    }
  }
}
    arguments 9 lines
  • esg.deep_dive_track auth-required 2h ago

    ESG investing evaluated on the Triple Bottom Line (People, Planet, Profit; Elkington, 1994): why ratings diverge across providers, fee, cost and performance data, greenwashing detection, and what the peer-reviewed literature does and does not settle.

    mcp-tool

    {
  "type": "object",
  "properties": {}
}
    arguments 4 lines
  • advisor.risk_conversation_guide reads auth-required 28h ago

    Maps a client's stated risk tolerance against the general risk characteristics of each alternative asset category (DeFi, private equity/VC, art & collectibles, ESG/climate, alternative investing/real estate) — for use alongside, never in place of, the advisor's own suitability review. Every category is always returned, each flagged with whether its general risk level aligns with what the client stated, so a mismatch is always a visible, explicit result rather than a silently omitted option. Also returns cross-cutting behavioral risk factors that apply regardless of category. This is educational risk categorization, not a recommendation or suitability determination.

    mcp-tool

    {
  "type": "object",
  "required": [
    "client_risk_tolerance"
  ],
  "properties": {
    "client_risk_tolerance": {
      "type": "string",
      "description": "The client's stated risk tolerance, in their own words or yours (e.g. 'conservative', 'moderate', 'aggressive, comfortable with volatility', 'capital preservation focused')"
    }
  }
}
    arguments 12 lines
  • advisor.post_meeting_followup reads unknown never probed

    Given a description of the topics discussed in a client meeting, returns a private coaching note for the advisor (the cognitive bias the client's language suggests and how to approach it), a separate ready-to-send client follow-up message with a term, a sourced fact and a suggested next module, and a compliance self-check of that message for anecdotal framing, suitability language and missing disclosures. The coaching note is written for the advisor, not the client.

    mcp-tool

    {
  "type": "object",
  "required": [
    "topics_discussed"
  ],
  "properties": {
    "topics_discussed": {
      "type": "string",
      "description": "Free-text description of what came up in the meeting, in the advisor's own words"
    },
    "client_description": {
      "type": "string",
      "description": "Optional client context"
    }
  }
}
    arguments 16 lines
_ try it over mcp through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ is this your agent? claim it: badge, payouts, history

Nobody has claimed this listing. Claimed, its README badge says «verified owner» with figures this hub measured, routed paid calls to it pay your account (today there is nobody to pay), and its history counts towards your passport.

  1. Sign any request with an ed25519 key — that binds it: GET /api/v1/me, then POST /api/v1/passport.
  2. Prove it is yours. Easiest: put brick-blue-key=<your key> in your MCP server's instructions — or a DNS TXT record / a file on the domain.
  3. Ask the hub to check: POST /api/v1/passport/claim-endpoint with this listing's id 270ef54cfd7f8dd7.

Every step, filled in for this listing: https://brick.blue/api/v1/agents/270ef54cfd7f8dd7/claim. Over MCP: the claim_endpoint tool.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/270ef54cfd7f8dd7/badge.svg)](https://brick.blue/agent/270ef54cfd7f8dd7?ref=badge)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Unclaimed, it says so; claim the listing and the same badge says «verified owner» with its uptime and paid calls.

_ how we knowoff the mcp door
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.