Blockchain Money Map

Builds a sanitized go-live twin of an agent-commerce mission before a buyer allows payment, delegation, or live execution.

Scan supplied recommendation, seller, and relationship evidence for conflict-of-interest review signals.

Query or append signed evidence-backed agent limitation records with correction and dispute handling.

Plan and authorize migration from one opted-in service to one opted-in target, with outbound disabled by default.

Check timestamp, finality, block, validity-window, and causal-order compatibility.

Issue or verify a canonical human mandate checksum and deterministic action constraints, including signature trust-policy checks.

Detect elevated control-bypass risk from fragmented, delegated, wallet-hopped, near-threshold, burst, repeated, or concentrated autonomous spend.

Low-cost Blockchain Money Map transaction status check for AI agents.

Compares sanitized autonomous-task facts against wallet policy coverage.

Audits sanitized AP2-style mandate facts for missing autonomous-purchase constraints.

Checks MCP server release metadata for registry and paid-tool readiness.

Creates or verifies hash-only caller-submitted x402 response provenance records with scoped idempotency and one-time lookup secrets.

Buyers need confidence that wallet, agent card, domain label, MCP server, seller profile, and x402 receiver belong together.

Run deterministic or seeded simulations of paid multi-agent plans without calling submitted providers.

Select the least-cost verification provider set that satisfies coverage, confidence, independence, and budget policy.

Measure verified dependency concentration and observed-but-undeclared common-mode dependencies.

Detect caller-supplied micropurchase fragmentation before an autonomous purchase proceeds.

Detect recursive agent-commerce loops, repeated purchases, delegation depth breaches, fan-out amplification, and bounded projected spend before an autonomous purchase proceeds.

Identify supplied continuity-risk signals without identity, fraud, or wrongdoing claims.

Validate revocation authority separately from x402 payment and prepare bounded propagation to opted-in verified targets.

Fast Blockchain Money Map wallet triage snapshot for AI agents.

Buyer agents cannot quickly tell whether a public Agent Card is unsigned, unverifiable, or ready for a later verification workflow.

Buyer agents cannot quickly tell whether a public Agent Card has enough identity, skill, interface, security, signature, and documentation evidence before delegation.

Agents need a structured deal room before delegating paid work to another agent.

Agent-to-agent task handoffs can fail because payload shape, mode support, status handling, auth disclosure, or failure behavior is unclear.

Buyer agents need to choose the right remote skill without executing tasks or trusting vague service descriptions.

Agent listings often fail to show the buyer journey from discovery to payment expectation, output promise, proof, limitations, and support.

Buyer agents need one portable object to decide whether a paid service is understandable, evidenced, and worth using.

Simulates caller-supplied agent checkout state facts for readiness gaps.

Public agent listings make capability and trust claims that are hard for buyer agents to connect to actual evidence.

Paid agent disputes need a compact packet showing request, payment, delivery, receipt, and mismatch evidence.

Normalizes sanitized agent-commerce error facts into a stable taxonomy.

Compares mandate, signed offer, and receipt facts for agent-commerce evidence fit.

Operators buying many small paid agent services need to know which calls produced useful value.

Creates safe fixture scenario recommendations for agent-commerce payment and checkout tests.

Checks agent-commerce terms, license, refund, support, and usage-policy URI metadata.

Public discovery snippets often fail to state who the agent serves, what it does, what it costs, what proof it returns, and what it does not do.

Buyer agents see multiple similar services but lack one normalized board for price visibility, proof, limitations, and fit.

Agent/tool listings often fail to convert buyer agents because price, proof, limits, and value are unclear.

Turns sanitized failed-payment facts into a conservative buyer-agent recovery playbook.

Buyer agents can see a price but not whether the public proof is proportional to the value being promised.

Compares seller checkout facts with caller-supplied agent-rendered buyer views.

Workflow builders can see multiple public agents but cannot quickly map which one should lead, specialize, validate, or be excluded.

Simulates sanitized buyer-agent payment workloads against wallet spend-policy facts.

Agent-commerce participants need to explain where money went, what it bought, and which evidence links are missing.

Agents need a simple route-weather signal before deciding whether now is safe to pay or retry.

Human-not-present purchases need constraint simulation before an autonomous buyer attempts payment.

Sellers need to know which endpoints should become paid agent products before spending engineering time.

Records and verifies hash-only evidence for authorized x402 payee-wallet rotations.

Reconciles sanitized autonomous-purchase intent facts against receipt facts.

Autonomous spend attempts need a black-box timeline that shows where the flow was safe, uncertain, failed, or completed.

Classifies sanitized agent spend facts into operational categories.

BMM needs a showable buyer journey that packages flagship agents into a clear demo story with proof and next steps.

Checks caller-supplied HTTP 402 cache and paid-route facts for leakage risk.

Compares caller-supplied x402 catalog, OpenAPI, MCP/tool metadata, and unpaid challenge samples for endpoint, method, price, currency, network, receiver, and tool drift.

Classifies commerce schema fields for buyer-data minimization risk.

As agent payments scale, operators need to spot unusual payment graph patterns without making fraud accusations.

Normalizes safe agent-commerce profile facts across x402, MCP, and AP2-style surfaces.

Advises whether an x402 route should use dollar-string pricing or explicit TokenAmount facts.

Compares caller-supplied x402 facilitator cost facts for buyer-agent routing.

Scores caller-supplied x402 facilitator facts for production readiness.

Classifies sanitized x402 failure facts into safe diagnostic causes without replaying payments or storing raw logs.

Compares agent-commerce quote, checkout, final payment, and order totals for unexplained deltas.

Buyer agents can land on public docs but fail to find service purpose, examples, price, limitations, and support path.

Maps aggregate high-volume low-value machine-payment facts for treasury dust and reconciliation risk.

MCP/App SDK builders need to know whether tool schemas, action descriptions, privacy metadata, auth notes, and UI hints are ready for review.

Audits sanitized MCP elicitation prompts and consent facts for scope and record gaps.

Records and compares hash-only x402, OpenAPI, and MCP operation stability facts.

Maps paid MCP tool surfaces against x402 routes and possible unpaid aliases.

Audits sanitized MCP paid-tool permission scope declarations.

MCP resource lists can mix public docs, schemas, logs, user data, and restricted-looking resources without clear buyer labels.

MCP servers can expose sampling behavior that is hard for buyers to understand before connecting or paying.

Grades paid MCP tool names, descriptions, schemas, and output labels for buyer-agent clarity.

Classifies one-shot MCP paid-tool metadata changes for buyer-agent compatibility risk.

Maps caller-supplied agent-commerce role facts into payment, fulfillment, support, and refund boundaries.

Builds an advisory failover ladder for caller-supplied x402 facilitator and network options.

Normalizes safe x402 challenge metadata from multiple provider formats.

Plans safer x402 network, token, amount-format, and transfer-method routing from caller facts.

Checks x402 offer metadata for replay-hygiene controls.

Buyer agents often see a price and promise but no useful preview that proves what the paid result will contain.

Tracks hash-only completeness snapshots for paid-agent response contracts across releases.

Audits paid MCP/tool confirmation prompts for clear buyer spend consent.

Creates and verifies hash-only latency SLA evidence for paid agent tools.

Orders caller-supplied paid agent tools into a clear, trust-preserving upsell path.

Classifies timeout, cancellation, partial result, retry, and charge-policy facts for paid work boundaries.

Classifies x402 payment identifier and retry facts for duplicate-charge and privacy risk.

Maps payment rails, handlers, tokens, networks, wallet requirements, and buyer disclosures.

Explains buyer-agent approval friction for EIP-3009, Permit2, and unsupported transfer methods.

Checks sanitized order, webhook, shipment, delivery, return, refund, and adjustment facts for continuity.

Checks x402 price display units for decimal, atomic-unit, currency, and network consistency.

Buyer agents and marketplaces cannot quickly tell whether public release notes matter to their workflows.

Lints caller-submitted agent API, MCP, and x402 response samples for machine-actionable contract completeness without making network calls.

Sellers need to know whether paid-agent endpoints are priced, discoverable, converting, or leaking free access.

Scores signed offer and receipt metadata for paid-service delivery confidence.

Checks whether a bounded spend permission fits a caller-supplied paid-agent workload.

Diagnose malformed or failed agent requests and return safe fix steps plus corrected request templates.

Summarizes recent BMM x402 payment-log activity for a payee, chain, currency, and optional paid resource path.

Public wallet profile signals that help agents reason about payment delegation and visible activity.

Batch Blockchain Money Map wallet triage snapshots for AI agents.

Pre-payment public-chain and caller-context checks for an agent before it pays an x402 resource.

Receipt-level comparison between a public transaction hash and caller-provided payment expectations.

Checks caller-supplied x402 and agent discovery documents for path, price, currency, network, and routing consistency.

Deep Blockchain Money Map wallet report for AI agents.

Public-chain evidence that compares a transaction hash against a caller-declared payment mandate.

Paid Blockchain Money Map saved report generation for AI agents.

Public seller and payment-receiver signals for an x402 service URL and payee address.

Plain-English Blockchain Money Map transaction decode for AI agents.

Basic Blockchain Money Map wallet audit for AI agents.

Heuristic authenticity signals based on public payment graph observations and caller-provided context.