api.blockchainmoneymap.com

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

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

Classifies commerce schema fields for buyer-data minimization risk.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Fast Blockchain Money Map wallet triage snapshot for AI agents.

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

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.

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

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