AI & Location
AI/ML APIs, vision, location-aware agents, ranking, and natural-language spatial workflows.
Combine Mappls data and platform operations with models that classify imagery, understand spatial intent, rank places, and orchestrate tools. AI integrations should ground every answer in a typed Mappls operation and expose provenance rather than allowing the model to invent locations or operational state.
Open the SkyDNN vision evidence guide
Keep synchronous inference, model provenance, geometry validation, policy, independent review, retention, and redaction in their correct ownership boundaries.
Capabilities
Available platforms
Keep business identifiers and server-side policy portable; use the native surface where device integration or long-lived state matters.
Underlying product credential, held by the tool server
Never place keys or tokens in model context. Use the exact current or legacy authentication generation required by each underlying product, execute typed policy-checked tools on a trusted server, and redact precise coordinates and credential-bearing URLs from logs.
- Use separate projects for development, staging, and production.
- Apply the narrowest domain, IP, platform, product, and resource scopes available.
- Never ship a server secret in a browser bundle, mobile binary, prompt, or public repository.
Quickstart
Replace placeholders with credentials from the developer console. Examples include the lifecycle and failure-handling context that short snippets usually omit.
const nearbyPlacesTool = {
name: "mappls_search_nearby",
description: "Find real places near a validated Mappls Pin or coordinate.",
inputSchema: {
type: "object",
required: ["location", "category"],
properties: {
location: { type: "string", description: "Mappls Pin or 'lat,lng'." },
category: { type: "string" },
radiusMeters: { type: "integer", minimum: 50, maximum: 10_000 }
}
}
};Operate the complete lifecycle
These blueprints name every state, actor, command, event, invariant, durable record, retry boundary, failure recovery, source contract, and operational signal.
Governed spatial agent run
Turn a natural-language spatial objective into an inspectable plan, obtain an exact least-privilege approval, execute allow-listed Mappls tools, and cite provider evidence without exposing credentials to the model.
statefulGoverned SkyDNN inference review
Lock an entitled model to an immutable asset identity, call the documented synchronous prediction boundary, validate geometry and confidence, require independent review, and redact derived detections on schedule.
Source repositories
Reference content is reconciled against these public and private source families. Version, authentication generation, and maturity are recorded before content is promoted.
mappls-ai-apisREST API · current →skydnn-aiapi-docsREST API · current →genesis-toolkitFind source evidence →mapplsaiwebtestingFind source evidence →