Connect DPX — Settlement & Intelligence for AI Agents and your agent gets 85 tools, among them agent.kya_register, agent.kya_verify, agent.mandate_create. It answers at https://mcp.untitledfinancial.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 24 October 2026, succeeded.
AI-native settlement rail + intelligence oracle for autonomous agents. x402, Base mainnet, 81 tools.
Description as the publisher wrote it.
| Tool | What it does |
|---|---|
agent.kya_register | KYA — Know Your Agent. Three-tier registration model — compliance burden scales with settlement risk, no documents ever required. ANONYMOUS: agent name only, $1K/day cap, instant. REGISTERED: add ownerEntity + ownerEmail (self-attested, no Inputs: name, ownerEntity, ownerEmail, ownerLei, framework, publicKey |
agent.kya_verify | Verify a registered DPX agent and receive a signed 1-hour credential. Returns KYA level, effective spend caps (tier or mandate), owner verification status, mandate active status, and FATF R.16 compliance attestation. Attach credential.signa Inputs: agentId |
agent.mandate_create | Create or update an AP2-compatible spend mandate for a REGISTERED or VERIFIED DPX agent. Sets per-agent settlement constraints: max notional per settlement, daily cap, optional counterparty whitelist (LEIs or wallets), allowed currency pair Inputs: agentId, maxNotionalUsd, dailyCapUsd, counterpartyWhitelist, currencyPairs, esgFloor |
analytics.overview | Get live DPX performance analytics. Returns current stability score, ESG composite scores, live fee breakdown, oracle health across all data sources, and a settlement readiness assessment. Use for dashboards, reporting, and AI-driven monito |
batch_settle | Submit multiple settlements in a single call. Runs all settlements concurrently — one failure does not block others. Returns a summary (total/succeeded/failed) and per-item results mirroring what POST /settle would return. Maximum 50 per ba Inputs: settlements |
card.positions | Plan treasury settlement for a crypto card program. Accepts net positions per corridor (e.g. USD-BRL: $2.3M, USD-EUR: €450K) and returns an optimal settlement plan — which corridors to settle now vs. hold, which stablecoin to use per corrid Inputs: positions, settlementDate |
card.settle | Execute treasury settlement for a crypto card program. Takes the same positions array as card.positions but executes all settlements via DPX batch — compliance-gated, oracle-priced, stablecoin-routed. Each position requires a recipientAddre Inputs: positions, sandbox |
compliance.pep_screen | Screen an individual by name against the OpenSanctions PEP (Politically Exposed Person) dataset. PEPs include heads of state, senior government officials, senior executives of state-owned enterprises, senior politicians, senior military off Inputs: q, country |
compliance.regulatory_calendar | Returns a structured calendar of upcoming and in-effect compliance obligations across MiCA (EU crypto-asset markets regulation), SFDR (Sustainable Finance Disclosure Regulation), CSRD (Corporate Sustainability Reporting Directive), the US G |
compliance.ubo_chain | Trace the beneficial ownership chain for any legal entity up to 3 levels deep using GLEIF relationship records, then screen every node in the chain against the OpenSanctions consolidated sanctions list (OFAC SDN, EU, UN, UK OFSI). Returns c Inputs: lei, deep |
compute.cost | Get a model recommendation for a task type without running inference. Returns the best free model for the task, its strengths and speed tier, and a list of alternatives. Use this when an agent needs to select a model before committing to in Inputs: task, speed |
compute.models | List all AI models available through DPX Compute. All models are free-tier (no token cost) — routed via OpenRouter. Returns model IDs, provider, capability strengths, context window, and speed tier. Use this before compute.route to understa |
compute.route | Route a task to the best available free AI model and run inference. DPX selects the model based on the task type (reasoning → DeepSeek R1, code → Llama 3.3 70B, multilingual → Qwen 2.5 72B, fast → Llama 3.1 8B), calls OpenRouter, and return Inputs: task, messages, preferSpeed |
computer_use.pay | Complete a payment that Claude's computer use session has identified on screen — a checkout form, wire transfer UI, invoice approval, or vendor portal payment step. Call this instead of typing credentials into a UI. Describe what you see on Inputs: screen_context, amount, recipient_address, purpose, counterparty_name, sandbox |
defi.concept_lookup | A 39-term DeFi/digital-currency glossary spanning fundamentals, blockchain, tokens/assets, protocols, governance, security, and regulatory terms (fiat, TVL, AMM, DAO, impermanent loss, MiCA, and more), sourced from the World Economic Forum Inputs: q |
defi.research_papers | 13 structured institutional research papers on CBDCs, stablecoins, crypto regulation, and cross-border payments — from BIS, the Federal Reserve, ECB, FSB, IMF, G7, SWIFT, and R3 — each with a summary and key findings. These papers are free Inputs: q |
dpx.metrics | Live performance metrics for the DPX settlement infrastructure — pulled directly from production telemetry. Returns request volumes, error rates, growth trends, per-service breakdown, and spike analysis across all active DPX workers. Free — Inputs: window |
esg.batch | Screen up to 50 entities in a single call. Accepts LEIs or company names (GLEIF-resolved). Returns results ranked by composite ESG score descending — highest scoring counterparties first. Useful for portfolio-level compliance screening, sup Inputs: leis, names |
esg.lookup | Resolve a company name, domain, or ticker to a LEI via GLEIF and return the full ESG score. Removes the need for callers to have a LEI. Returns Environmental (40%), Social (35%), and Governance (25%) pillar scores, composite 0–100, fee surc Inputs: q, country, narrate |
esg.portfolio | Score an entire counterparty portfolio in one call (up to 200 entities by LEI or name). Returns portfolio-level composite E/S/G scores, tier distribution, aggregate fee surcharge impact in basis points, worst offenders (bottom 10% by compos Inputs: leis, names, label |
esg.score | Get the live counterparty risk score (ESG-denominated) for a wallet address or the protocol default. Returns Environmental, Social, and Governance risk scores (0–100 each), composite weighted average, and the compliance-adjusted settlement Inputs: address |
esg.trend | Get the historical ESG composite trend for a specific entity by LEI. Returns score history, trend direction (IMPROVING / STABLE / DETERIORATING), and delta over the requested window. Data accumulates each time the entity is scored via esg.l Inputs: lei, days |
esg.watch | Register an entity for ongoing ESG monitoring. DPX checks the score daily and fires a webhook when the composite score shifts by ≥ thresholdPoints. Satisfies MiCA Article 72 ongoing monitoring requirements. Returns a watchId for status chec Inputs: lei, webhookUrl, thresholdPoints |
fees.compare | Compare DPX settlement cost against Stripe cross-border (5.4% + $0.30), Wise (0.40–1.50%), Ripple ODL (0.20–0.50%), Lightspark, SWIFT (2.00–5.00%), PayPal, and bank wire. Returns dollar savings vs each at the current DPX all-in rate (~2.035 Inputs: amountUsd, hasFx, esgScore |
fees.schedule | Get the complete DPX fee schedule: all components (core/FX/ESG/license), volume discount tiers (Standard / Growth / Institutional / Sovereign), ESG fee table by score, scenario examples, and competitive benchmarks vs Stripe, Wise, SWIFT, an |
fees.verify | Verify that the off-chain fee quote matches what the on-chain DPXSettlementRouter contract will charge. Returns feesMatch (true/false). Call after get_quote and before settle to confirm fee integrity. Inputs: amountUsd, hasFx, esgScore |
flow_check | Single pre-flight call before settling. Runs oracle check, compliance screen, and stablecoin routing in parallel and returns a unified go/no-go decision. Replaces the 3-step oracle → screen → route loop. Returns: decision (PROCEED/HOLD/BLOC Inputs: amount, from, to, address, lei |
forecast.calendar | Seasonal climate event calendar with commodity impact. Returns 12 critical annual windows (hurricane season, corn pollination, Brazil frost risk, Black Sea harvest, ENSO influence periods, etc.) sorted by urgency — active windows first, the |
forecast.commodity_outlook | Climate-driven price pressure outlook for a commodity. Returns BULLISH/BEARISH/NEUTRAL signal with 30/60/90-day horizons, confidence score, per-region stressor breakdown, and current FRED price reference. Covers 11 commodities: WHEAT, CORN, Inputs: symbol, fresh |
forecast.portfolio_stress | Climate stress test for a multi-commodity portfolio. Pass up to 20 positions with weights (percentages or fractions — normalized internally). Returns aggregate portfolio climate score, which positions are most stressed, which could act as c Inputs: positions |
forecast.production_regions | All ~40 global commodity production regions ranked by current climate risk score. Each region shows which commodities it affects and its current climate risk level (HIGH/MODERATE/LOW). Use to identify which geographic zones are under active |
forecast.scenario | What-if climate scenario analysis. Apply a named scenario or custom stressor multipliers to any subset of commodities and see how signals shift. Built-in scenarios: la_nina_moderate, la_nina_severe, el_nino_moderate, gulf_hurricane_major, u Inputs: scenario, symbols, stressorOverrides |
fx.corridors | All 60+ currency corridors with current stability tier, daily volatility estimate, and regulatory flags. Sort is best-first (OPTIMAL → ADVERSE). Use to compare corridors before choosing a payment route — e.g. "which LATAM corridor is most s Inputs: from |
fx.cost_certainty | All-in settlement cost quote for cross-border payments. CFO-grade output: exact amount received in target currency after rail fees, 48h FX cost variance expressed in dollars, corridor stability overlay, and optimal execution window. Answers Inputs: from, to, amount, amountCurrency, lei |
fx.rate | Live mid-market FX rate for any currency pair. Returns mid rate, bid/ask spread, daily volatility %, regulatory flags for the corridor, and data freshness. Sourced from central bank rates (open.er-api.com, updated hourly, no API key require Inputs: from, to |
integration.status | Check the status of a DPX integration verification session. Polls Base mainnet for receipt of the $0.01 USDC handshake payment. Returns "pending" until payment is detected on-chain, then "verified" with the txHash and a Basescan explorer li Inputs: id |
integration.verify | Initiate a $0.01 USDC onboarding handshake for a new DPX integration. Returns the DPX treasury address and payment instructions. The client sends $0.01 USDC on Base mainnet to confirm their wallet is funded and settlement rails are clear. C Inputs: walletAddress, apiKey |
intelligence.aftershock | Aftershock Intelligence — models the secondary waves that follow a primary cascade event. Takes a primary shock (origin node, event type, magnitude, elapsed hours) and returns three aftershock waves: Wave 1 (0–72h immediate secondary effect Inputs: origin, eventType, magnitude, elapsedHours, horizonHours |
intelligence.contagion | Contagion Intelligence — simulates how a macro or financial shock spreads through 30 nodes across 6 domains (financial systems, real economies, commodity networks, policy anchors, social systems, physical infrastructure) using an epidemiolo Inputs: origin, magnitude, listNodes |
intelligence.gender_risk | Gender Risk & Opportunity Intelligence — maps the structural relationship between GBV prevalence, legal discrimination, female labour force participation, and economic outcomes across 18 countries. Returns two independent scores: gbvRiskSco |
intelligence.resonance, intelligence.subscribe, intelligence.subscription.delete, intelligence.subscription.get, intelligence.tectonic, invoice.create, invoice.get, invoice.pay, ledger.session, market.cascade, market.fx, market.shipping, mercury.accounts, mercury.ach_authorize, mercury.send, mercury.sweep, mercury.transactions, oracle.governance, oracle.mycelium, oracle.rails, oracle.stability, oracle.status, policy.check, policy.create, policy.delegate, protocol.investment_context, protocol.manifest, ramp.agent_card, ramp.compliance_screen, ramp.connect, ramp.settle, ramp.spend_analysis, receipt.create, route, search_docs, settle.subscribe, settlement.execute, settlement.nl, settlement.quote, settlement.status, stability.corridor, stability.settlement_window, stability.stablecoin_route, swift.gpi_track, treasury.yield_route
Every block below points at https://mcp.untitledfinancial.com/mcp. Pick your client and copy.
claude mcp add --transport http dpx-settlement-intelligence-for https://mcp.untitledfinancial.com/mcp
{
"mcpServers": {
"dpx-settlement-intelligence-for": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.untitledfinancial.com/mcp"]
}
}
}{
"mcpServers": {
"dpx-settlement-intelligence-for": {
"url": "https://mcp.untitledfinancial.com/mcp"
}
}
}{
"servers": {
"dpx-settlement-intelligence-for": {
"type": "http",
"url": "https://mcp.untitledfinancial.com/mcp"
}
}
}{
"context_servers": {
"dpx-settlement-intelligence-for": {
"url": "https://mcp.untitledfinancial.com/mcp"
}
}
}{
"mcpServers": {
"dpx-settlement-intelligence-for": {
"serverUrl": "https://mcp.untitledfinancial.com/mcp"
}
}
}{
"mcpServers": {
"dpx-settlement-intelligence-for": {
"url": "https://mcp.untitledfinancial.com/mcp"
}
}
}name: DPX — Settlement & Intelligence for AI Agents
version: 0.0.1
schema: v1
mcpServers:
- name: DPX — Settlement & Intelligence for AI Agents
type: streamable-http
url: https://mcp.untitledfinancial.com/mcp{
"mcpServers": {
"dpx-settlement-intelligence-for": {
"httpUrl": "https://mcp.untitledfinancial.com/mcp"
}
}
}{
"mcpServers": {
"dpx-settlement-intelligence-for": {
"type": "http",
"url": "https://mcp.untitledfinancial.com/mcp"
}
}
}{
"mcpServers": {
"dpx-settlement-intelligence-for": {
"url": "https://mcp.untitledfinancial.com/mcp"
}
}
}goose://extension?url=https%3A%2F%2Fmcp.untitledfinancial.com%2Fmcp&type=streamable_http&id=dpx-settlement-intelligence-for&name=DPX%20%E2%80%94%20Settlement%20%26%20Intelligence%20for%20AI%20Agents
It answered our last check on 24 October 2026 in 114 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.
85, as returned by the server's own tools/list on 22 September 2026: agent.kya_register, agent.kya_verify, agent.mandate_create, analytics.overview, batch_settle, card.positions, card.settle, compliance.pep_screen, and 77 more.
It answered our last check on 24 October 2026 in 114 ms. Over 6 checks since 11 September 2026 it answered 6.
Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.untitledfinancial.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.
It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.
Publisher: io.github.untitledfinancial. Endpoint host: mcp.untitledfinancial.com. ARD identifier: urn:air:io.github.untitledfinancial:mcp:dpx.
First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page
is inferred from its name. Ranking in Neuronto search is never for sale.