{"schema_version":"1.0","vector":"search-driven (marketing-to-agents Vector #1)","service":{"name":"Phronesis","summary":"The decision-assurance layer for the agentic economy: the neutral substrate an agent calls before it acts, turning intent, evidence, and a calibrated forecast into an auditable Decision Asset with an action boundary and a verifiable Decision Receipt. Calibration is honest-empty until outcomes resolve (~Jan 2027)."},"positioning":"Phronesis is one motion — the agent-native decision-assurance call — across an open universe of high-consequence decision domains (energy, compute, climate, regulatory, supply-chain, space, robotics, health, and more). Depth is proven first where decisions resolve fastest — today, grid-compute — and the cross-vertical resolved-outcome record compounds into a moat no single-vertical tool can match.","transports":{"mcp":"primary","rest":"primary"},"capabilities":{"verticals_total":12,"canonical_catalog":"/v1/catalog"},"autonomy_tier":{"declaration":"Phronesis is a decision-assurance / advisory surface. It returns forecasts, evidence, counterparty checks, and auditable records. It does not autonomously transact, bind, close, move money, or modify identity on a user's behalf — the calling agent or human retains the action. Every interaction is governed by the Action Boundary, written to a searchable log, and carries an audit receipt.","classification":"advisory / assurance; human-or-caller-in-the-loop for all consequential actions; deny-by-default on bind/money/identity","detailed_classification_uri":"/v1/legal/autonomy-tier-classification"},"agent_discoverable_surfaces":["/v1/catalog","/v1/pricing","/.well-known/agent-discovery.json","/.well-known/mcp.json","/.well-known/aeo-manifest.json","/.well-known/scorecard.json","/.well-known/pricing.json","/.well-known/cost-attestation.json","/.well-known/platform-bundled.json","/.well-known/trust.json","/llms.txt"],"search_vocabulary":["decision assurance","decision asset","decision intelligence","forecast","forecasting","calibration","calibration-scored","prediction","scenario analysis","energy transition","agent decision support","action boundary","agentic action boundary","agent action gate","pre-action assurance","should this agent act"],"llms_txt":"/llms.txt","agent_selection_card":"/.well-known/aeo-manifest.json#agent_selection_card"}