{"uid":"cap_cqlvmqrpYOjiWpYc0yFmP","slug":"uber-h3-hex-grid-mcp-f86d5de5","name":"Uber H3 Hex Grid MCP","description":"The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.","url":"https://api.m2mcent.com/uber-h3-hex-grid-mcp/api/process","method":"POST","headers":{},"bodySchema":{"type":"object","properties":{"payload":{"type":"string"}}},"responseSchema":{"type":"json","example":{"success":true}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.18","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.18/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.18","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.18","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_Dg1a8mv6UF-y6Nx1H4X3p","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.18","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Processes geospatial data using Uber's H3 hexagonal grid indexing system to perform hex grid operations such as encoding coordinates, resolving hex cells, and spatial analysis.","exampleAgentPrompt":"Convert the coordinates 37.7749, -122.4194 (San Francisco) to an H3 hexagonal cell index at resolution 9, and give me the neighboring hex cells too.","exampleUseCases":[{"title":"Ride-share zone aggregation","prompt":"I have a bunch of GPS pickup points from our drivers last week. Can you encode them all into H3 hex cells at resolution 8 so I can aggregate ride density by hex zone?"},{"title":"Spatial coverage mapping","prompt":"Given this polygon boundary for downtown Austin, generate all the H3 hex cells at resolution 7 that fall within it so I can overlay a hex grid on my map."},{"title":"Proximity neighborhood lookup","prompt":"I have an H3 cell index 8928308280fffff — can you get me all the neighboring hexagons within k-ring distance 2 at resolution 9?"}],"resultDescription":"Returns H3 hexagonal grid computation results such as a cell index (H3 string), boundary coordinates for a hex cell, lists of neighboring cells, parent/child cell relationships, or spatial aggregation data depending on the operation requested in the input data string.","failureModes":["Invalid or malformed coordinate values causing indexing failure","H3 resolution out of valid range (0-15) returning an error","Unsupported operation type in the data payload","Malformed JSON input string causing a parse error","Network or payment authorization failure returning HTTP 402"],"whenToPreferThis":"Choose this endpoint when you need to perform H3 hexagonal grid indexing operations — such as encoding GPS coordinates into hex cells, resolving neighbors, computing coverage grids, or doing H3-based spatial aggregation. Prefer it over generic geospatial APIs when your use case specifically requires Uber's H3 hierarchical spatial indexing system for tasks like ride-share analytics, location clustering, or hex-grid map overlays.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-15T13:18:20.666Z","isFirstParty":false}