Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,536Letters: 14Defects: 1,322counted 4 min ago
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Server definition

Hash
sha256:94a5f36311b54b6b62fbda92c4318a3c1a2e1190f944624fa41c03c4106c941e
What it is
What a remote MCP server returned when asked what it offers: 10 tools

The blob, as servednamed by its sha256

{ "instructions": "Atlas sells manufactured views over one graph: cells x days x infrastructure x hazard history x denominators x signals. Start with search_products or answer_question; inspect_product returns the contract; quote_request prices a need in credits; buy_product / create_watch return the exact call. Atlas ships through risk indicator, never a predictive model.", "tools": [ { "description": "Ask a question Atlas can answer live (seismic unusual in a region, wave energy, commodity regimes, logistics safety, what cells are alert-worthy). Returns verdict, evidence, datasets and the purchase path.", "inputSchema": { "properties": { "bbox": { "description": "[south, west, north, east]; used exactly. Without it a named region uses its preset box, stated in bbox_source", "items": { "type": "number" }, "maxItems": 4, "minItems": 4, "type": "array" }, "question": { "type": "string" } }, "required": [ "question" ], "type": "object" }, "name": "answer_question", "outputSchema": null }, { "description": "The exact purchase call for a product and tier (one-time pack via POST /api/datapacks/buy, subscription via POST /api/feeds/subscribe), with terms, idempotency and what is metered. Does not move money: purchases need a session (or Stripe checkout).", "inputSchema": { "properties": { "slug": { "type": "string" }, "tier": { "type": "string" } }, "required": [ "slug" ], "type": "object" }, "name": "buy_product", "outputSchema": null }, { "description": "The exact subscribe call for a watch (mode=watch) with the filters given, its tier, price and metering, plus the webhook contract. Does not move money.", "inputSchema": { "properties": { "bbox": { "description": "[south, west, north, east] in decimal degrees, e.g. Texas [25.8, -106.7, 36.5, -93.5]", "items": { "type": "number" }, "maxItems": 4, "minItems": 4, "type": "array" }, "cohorts": { "items": { "type": "string" }, "type": "array" }, "min_confidence": { "type": "number" }, "min_severity": { "description": "change-event severity floor (info < elevated < high < critical); other scales such as NWS Moderate/Severe are refused", "enum": [ "info", "elevated", "high", "critical" ], "type": "string" }, "signals": { "items": { "type": "string" }, "type": "array" }, "slug": { "type": "string" }, "tier": { "type": "string" }, "webhook_url": { "type": "string" } }, "required": [ "slug" ], "type": "object" }, "name": "create_watch", "outputSchema": null }, { "description": "Change events since a cursor. Anonymous: the latest-day preview, at most 10 events (limit_applied/limit_max in the response). With api_key: the metered signal feed for that subscription (GET /api/feeds/{slug}/changes).", "inputSchema": { "properties": { "api_key": { "type": "string" }, "dry_run": { "type": "boolean" }, "since": { "type": "string" }, "slug": { "type": "string" } }, "required": [], "type": "object" }, "name": "get_changes", "outputSchema": null }, { "description": "What an api_key is entitled to and has used: tier, credits quota, used, remaining, projected cost of a request, reset date.", "inputSchema": { "properties": { "api_key": { "type": "string" }, "days": { "type": "integer" }, "resolution": { "type": "string" }, "slug": { "type": "string" } }, "required": [ "slug", "api_key" ], "type": "object" }, "name": "get_entitlement", "outputSchema": null }, { "description": "The full machine-readable commercial contract of one product: pricing ladder, credit multipliers, views, schema, measured quality, SLOs, provenance, join quality, semantics (ships through risk indicator), limitations.", "inputSchema": { "properties": { "slug": { "type": "string" } }, "required": [ "slug" ], "type": "object" }, "name": "inspect_product", "outputSchema": null }, { "description": "Quote a dataset need: text / keywords / category, max_age_hours, budget_usd, resolution, window_days, records, region or bbox. Returns ranked products with the cheapest fitting tier, estimated records and credits, cost, and the exact purchase call.", "inputSchema": { "properties": { "bbox": { "description": "[south, west, north, east] in decimal degrees, e.g. Texas [25.8, -106.7, 36.5, -93.5]", "items": { "type": "number" }, "maxItems": 4, "minItems": 4, "type": "array" }, "budget_usd": { "type": "number" }, "category": { "type": "string" }, "keywords": { "items": { "type": "string" }, "type": "array" }, "max_age_hours": { "type": "number" }, "records": { "type": "integer" }, "region": { "type": "string" }, "resolution": { "type": "string" }, "text": { "type": "string" }, "window_days": { "type": "integer" } }, "required": [], "type": "object" }, "name": "quote_request", "outputSchema": null }, { "description": "Quote a watch (signal feed): need text plus filters (bbox, cohorts, signals, min_severity, min_confidence) -> product (ranked like quote_request, among packs with the cell layer), cheapest tier that meets the need, best tier within budget, estimated events per month and credits (watch events cost 5 credits).", "inputSchema": { "properties": { "bbox": { "description": "[south, west, north, east] in decimal degrees, e.g. Texas [25.8, -106.7, 36.5, -93.5]", "items": { "type": "number" }, "maxItems": 4, "minItems": 4, "type": "array" }, "budget_usd": { "type": "number" }, "cohorts": { "items": { "type": "string" }, "type": "array" }, "min_confidence": { "type": "number" }, "min_severity": { "description": "change-event severity floor (info < elevated < high < critical); other scales such as NWS Moderate/Severe are refused", "enum": [ "info", "elevated", "high", "critical" ], "type": "string" }, "signals": { "items": { "type": "string" }, "type": "array" }, "text": { "type": "string" } }, "required": [], "type": "object" }, "name": "quote_watch", "outputSchema": null }, { "description": "Free sample rows of a product (k-anonymised where applicable) with data_through and contract version.", "inputSchema": { "properties": { "slug": { "type": "string" } }, "required": [ "slug" ], "type": "object" }, "name": "sample_product", "outputSchema": null }, { "description": "SEMANTIC product discovery: describe the need in plain words (industry, infrastructure type, hazard, question) and get products ranked by profile match (answers_questions, use_cases, industries, infrastructure_types, hazard_classes, example_questions), with the matched terms, what each product is NOT for, its temporal/spatial coverage, the cheapest satisfying tier, quality status and contract URL.", "inputSchema": { "properties": { "category": { "type": "string" }, "flagships_only": { "type": "boolean" }, "limit": { "type": "integer" }, "text": { "type": "string" } }, "required": [], "type": "object" }, "name": "search_products", "outputSchema": null } ] }
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