A Builder API Surface for Agent-Ready Prediction Markets
How Norynta packages public docs, OpenAPI, AsyncAPI, SDKs, MCP, conformance checks, and agent discovery into one integration surface.
One public path for builders
Norynta's developer entrypoint is /developers. It combines API-key management, launch diagnostics, SDK recipes, trading examples, usage visibility, and bot-readiness guidance in one public surface.
For teams that need static references, the public docs now expose stable URLs for integration start, developer quickstart, API reference, SDK examples, orderbook semantics, MCP guidance, stability policy, and the agent integration contract.
Machine-readable contracts are part of the citation asset
Builder documentation is more credible when it points to executable contracts. Norynta publishes OpenAPI at /openapi.json, AsyncAPI at /asyncapi.json, a stable schema catalog at /api-schema.json, agent discovery at /.well-known/agent.json, and runtime access metadata at /api/agent/access.
Those surfaces let external developers inspect capabilities, auth expectations, idempotency behavior, streaming support, and write controls before integrating.
SDK, CLI, MCP, and conformance checks
The @norynta/bot-sdk package exposes discovery, market data, snapshots, streams, account helpers, signed-order builders, RFQ helpers, and CLI commands for repeatable integration work.
The recommended validation loop is direct: install the SDK, run norynta doctor or npm run bot:cli -- doctor locally, review /docs/agent-integration, then run npm run agent:conformance against the target environment before requesting production review.
MCP servers and agent discovery are intentionally documented alongside the HTTP API so assistants, workflow tools, and bot operators can share one compatibility model.
Earned authority, not paid links
Norynta's backlink strategy for this surface is simple: publish useful integration material, contribute helpful answers or examples where relevant, and ask communities or projects to cite the docs only when they genuinely help their users.
Paid placements, link exchanges, scraped outreach, and ranking-focused sponsorship asks are out of scope. Commercial relationships should be treated as awareness or partnership work, not as attempts to pass ranking value.
The higher-quality path is slower but more durable: make the API understandable, keep examples accurate, publish schemas that external tools can validate, and let citations follow from material that solves real integration problems.
Important limits
This content is informational only and is not investment, legal, tax, accounting, or trading advice. It describes the builder surface and integration workflow; it does not recommend any trading strategy or imply that API access creates profitable outcomes.
Developers should verify current endpoint behavior, rate limits, authentication requirements, and environment readiness before connecting automation to production workflows. Any bot or agent should start with dry runs, small limits, explicit monitoring, and a rollback plan.
The quality bar for future builder research is concrete: name the surface, link the contract, state the control boundary, explain how to test it, and avoid claims that cannot be verified from public docs, schema files, or product behavior.