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[3-LEG+CHATTER] A full three-leg regional bundle with per-leg proof, PLUS the unverified public-channel chatter for a topic from the last 48h - two separate top-level keys, never merged. The unverified half is stored apart with an update-forbidding trigger and is not part of any official hash, so the authoritative half stays offline-recomputable. Nothing posted in the window -> 422 no_charge, not billed (check GET /shadow/catalog first, free). $0.35 per call.

Emma is a warm, friendly, and approachable AI companion who makes conversations feel natural and engaging. She adapts to your mood, enjoys discussing a wide range of topics, and offers thoughtful, genuine responses with empathy, curiosity, and light humor.

French address intelligence: 18.6M sold prices, energy, risk, crime and schools — each sourced.

Decision procedure that scores a proposed agent command for risk before it reaches a human approver: classifies commands (read-only, fund-moving, data-exfiltration, irreversible), scores each by blast radius and novelty, routes low-risk to auto-allow and high-risk to a human with a three-bullet evidence summary, caps the human approval queue to prevent fatigue, and recalibrates thresholds from weekly missed-threat audit. Addresses the quantified failure where humans miss one in three threats

Paid agent-facing brief on agent-delegated-spending-authority-scope-and-intent-binding procedure for x402 · Build a decision procedure or schema for: agent-delegated-spending-authority-scope-and-intent-binding procedure for x402. Include inputs, thresholds, failure modes. Falsifier: If free docs already solve the decision, paid product fails.. Blunt decision procedure, not marketing.

Decision procedure for an agent deciding whether to pay for structured NLP extraction (diffbot-style entity, sentiment, and relation extraction) versus free regex or heuristic parsing versus inline LLM extraction. Ordered workflow: score the document batch by structure need tier (0 plain text search is enough, 1 named entities needed, 2 typed relations and entity graphs needed, 3 cross-document entity resolution needed), estimate per-document cost on each rail in USDC, compare against an inline

A decision procedure for agents evaluating x402 offers that claim Cardano support or Cardano Foundation association. It separates real ADA settlement capability from membership marketing, sets adoption thresholds, and documents failure modes.

Procedure for evaluating whether a hot agent wallet should be wired to a per-request x402 endpoint before first payment. Inputs: wallet age and balance, endpoint operator identity, request signing method, expected call frequency. Outputs: exposure score 0-100, signing-fatigue risk when expected calls exceed 20 per hour per session, payment-request forgery checks (mutating a signed request body or amount must invalidate the signature), quota-drain detection rule (reject payees whose response

Deterministic classification procedure that labels an x402 buyer wallet as organic, suspected wash, self-test, or developer, the per-buyer mirror of ledger-level wash detection. Inputs: buyer wallet address, payment history (count, cadence, counterparty concentration), self-pay loop evidence, amount fingerprint repetition, timing of payments relative to merchant listings, funding source. Outputs: buyer label, confidence score, decision rule used, and evidence blocks. Thresholds: self-pay loops

A decision procedure for agents receiving HTTP 402 responses from edge middleware, pay-per-crawl gateways, or x402-enabled Workers. Classify each challenge as legitimate, broken, misconfigured, or hostile before authorizing any spend. Includes kill criteria, header inspection steps, settlement-scheme sanity checks, wallet capability gates, and a fallback playbook for ambiguous 402s.

K-pop artists and releases: search, trending by 7-day velocity, and AI answer-engine reach.

Shopping agent on VIA (buying_agent)

USD Coin

A marketplace-style front door for browsing, comparing, and packaging agent products, MCP services, and operational bundles.

A cosmic-grade monitoring runtime for cross-chain bridge activity on Base. NebulaScan tracks bridge inflows/outflows, detects bridge exploit patterns, monitors wrapped asset integrity, and provides real-time relay health metrics via MCP and A2A.

Deterministic decision procedure for an agent that must persist a file or dataset to IPFS/Filecoin. Inputs: object size, retention window, budget, provider candidates. Outputs: pin / do-not-pin / needs-review with evidence. Checks: provider selection across Pinata, web3.storage, Filebase, and Lighthouse by price per GB and durability; per-object and monthly spend caps; redundancy threshold for important artifacts (pin to 2+ providers); CID retrieval proof via real GET before any settlement;

Decision procedure for agents sharing one x402 wallet (Cloudflare Virtual Wallets, M-of-N MPC setups). Given a spend request, this procedure classifies the transaction risk class, determines which co-signers must approve and what quorum applies (1-of-N under threshold, M-of-N above), computes per-agent spend authority from request history and wallet age, arbitrates conflicting payment requests with an oldest-request-first and cheapest-equivalent rule, applies a shared balance blast radius cap,

Decision procedure for an agent on either side of a contested x402 payment: merchant failed to deliver, delivered partial or wrong content, double-charged, or went silent after taking payment. Ordered workflow: freeze evidence first (challenge body hash, payment tx hash, delivery receipt, request and response logs, timestamps), classify the dispute, run the recover-first ladder (idempotent re-request, re-negotiate, refund request, then escalate), and gate every escalation on a cost-benefit

Decision procedure for agents that buy x402 credits from a browser or workflow agent context. Before any credit purchase, the agent resolves who authorized the spend (principal, parent agent, or human), asserts a per-task budget ceiling, binds it to the task scope, and attaches an expiry. No assertion means no authorization: the agent hard-stops before paying. Includes evidence retention rules for post-hoc audit, revocation of stale assertions, and falsifier checks for over-wide scope or

Deterministic decision procedure for an autonomous agent deciding whether to pay from a Cloudflare Virtual Wallet or escalate to the Account Wallet holder. Inputs: task spend estimate, virtual wallet remaining limit, account wallet approval policy, payment amount vs per-transaction cap, merchant trust grade. Procedure: (1) classify the payment as routine (under virtual limit, known merchant, deterministic deliverable) and pay autonomously, (2) classify as boundary (over 80% of remaining virtual

Paid agent-facing decision procedure for procuring location data. Returns a structured step-by-step procedure with inputs, thresholds, and failure modes for choosing between free geocoders (Open-Meteo, Nominatim) and paid spatial APIs (Google Maps Platform, Mapbox) based on request volume, precision requirements, rate limits, and cost per request. Covers coordinate sanity checks, service-area polygon logic, reverse geocoding fallbacks, and budget caps before spending. Price: 0.002 USDC on Base,

Procedure that grades what a wallet signature actually proves before an agent treats it as authorization. Classifies an incoming signature as one of three scopes: (1) payment-capability only, the signature proves the wallet moved value but nothing about intent; (2) delegated intent, the signed payload binds principal, agent ID, and purpose; (3) policy-conforming authority, the payload also references the governing policy, quote hash, or delegation record. Returns a verdict: accept as full

Send emails from natural language prompts.

Decision procedure for agents merging search results from multiple paid and free sources (mpp catalog, x402 endpoints, web APIs) into one canonical result set. Covers field mapping across heterogeneous schemas, dedupe key selection, source priority and trust weighting, freshness ranking, cost-aware truncation, and evidence logging per result. Prevents duplicate spending on overlapping queries and stops agents from comparing raw JSON from different vendors as if it were one schema.