api.navetica.com — status: ok

Sports intelligence infrastructure.
Built for serious operators.

Secure edge delivery. Agent-ready. Enterprise-ready by design.

Navetica transforms customer-supplied and properly licensed sports inputs into structured predictions, signal analysis, and decision context through a secure edge API. Designed for business workflows, institutional research, and AI systems that need dependable intelligence delivery.

Get API Key
Enterprise-grade access control
Research and operations ready
MCP access on paid plans
The Platform

One API. Structured intelligence
for operational systems.

From customer-controlled inputs to model-driven probability, calibration, and signal interpretation, Navetica consolidates fragmented analytical workflows into one authenticated enterprise surface.

Input Orchestration

Normalize customer-supplied and licensed sports inputs into a consistent analytical contract with provenance, freshness, and quality context preserved.

GET /api/events?sport=NBA

Predictions

Winner probability, confidence scores, and human-readable rationale. Every response is shaped for downstream systems that need interpretable decision support.

POST /api/predict

Signal Analysis

Compare model probability against customer-supplied reference inputs with transparent confidence, uncertainty, and divergence measures for research workflows.

POST /api/edge

Signal Calibration

Measure confidence stability, probability drift, and model agreement across time without exposing or reselling upstream source data.

POST /api/predict → calibration

Decision Governance

Quality gates, uncertainty markers, audit context, and policy-aware outputs support disciplined model validation and executive review.

POST /api/predict → market_analysis

MCP Integration NEW

Query Navetica from any MCP-compatible AI tool. Your agent calls the API, parses the response, and reasons over it — no glue code needed.

POST /api/apply → agent onboarding
API Reference

Three core interfaces. Clear contracts.

Structured JSON for prediction, customer-input evaluation, and agent context. Bearer auth throughout, with request IDs supporting traceability.

Response
cURL
POST /api/predict POST /api/edge POST /api/ai/context

Illustrative expanded responses are shown below. Free access returns a limited preview; expanded signal fields require an eligible paid plan.

POST /api/predict Expanded prediction · model confidence
{ "request_id": "req_demo_predict_01", "sport": "NBA", "teams": ["DEN", "PHX"], "prediction": { "winner": "Denver Nuggets", "winner_probability": { "Denver Nuggets": 0.614, "Phoenix Suns": 0.386 }, "confidence": 0.72 }, "confidence_band": "moderate", "decision_context": "review" }
POST /api/edge Customer-input evaluation
{ "request_id": "req_demo_edge_01", "edge": { "Denver Nuggets": { "model_probability": 0.614, "reference_probability": 0.545, "probability_delta": 0.069, "confidence_band": "moderate", "input_provenance": "customer_supplied" } }, "uncertainty": 0.042 }
POST /api/ai/context Agent-ready operating context
{ "request_id": "req_demo_context_01", "ok": true, "format": "structured", "context": { "meta": {"window_days": 30, "scope": "full"}, "boundaries": [ "Informational analytics only; no guarantees.", "If data is unavailable, state the gap and avoid speculation." ] }, "usage_hint": "Inject system_prompt into your LLM system message." }
Dashboard

Your operations console.
Built for signal clarity.

Monitor predictions, review signal quality, and manage governed access from one unified enterprise interface. The workspace below is an illustrative product preview; live customer data remains account-scoped.

app.navetica.com
Navetica
Dashboard
Input Context
Predictions
Decision Log
API Keys
Settings
Operations Overview
Illustrative workspace
Active Signals
14
+3 today
Avg. Signal Delta
8.4%
+1.2% vs 7d
API Calls Today
247
of 500 limit
30d Calibration
92.6%
+4.1% vs prior
Signal Evaluation Surface — NBA
DEN Nuggets
@
PHX Suns
Model61.4%
Delta+6.9%
Quality94%
StatusREVIEW
BOS Celtics
@
LAL Lakers
Model57.2%
Delta+3.1%
Quality88%
StatusMONITOR
DAL Mavericks
@
HOU Rockets
Model52.8%
Delta+7.9%
Quality91%
StatusREVIEW
Explore Navetica

Focused intelligence for every season and integration.

Explore the live season hub or move directly into the technical documentation for authenticated API, MCP access, and governed signal analytics.

Season Intelligence /season

NFL 2026 is here — every game, modeled.

Season-long structured predictions with transparent uncertainty, now live for the NFL kickoff and every other sport we cover.

  • Current season status and matchup context
  • Structured predictions with transparent uncertainty
  • Historical intelligence for deeper research
2026 Season predictions historical context
Developer Platform /docs

Documentation, onboarding, and MCP access for serious integrations.

Review the API contract, authentication flow, and integration surfaces available to developers, operators, and autonomous systems.

  • API reference, onboarding, and key issuance in one controlled flow
  • Designed for developers, internal teams, and AI agent ecosystems
  • Supports governed production and private-environment workflows
openapi private access mcp-native
Pricing

Access tiers for teams that operate with intent.

Start with authenticated developer access, then scale into professional and institutional deployment as usage, control, and support requirements expand.

Developer
Entry access — authenticated

For technical evaluation, initial integrations, and early internal testing with controlled access to Navetica's core signal surface.

  • Input normalization across supported sports
  • Predictions + signal analysis
  • Structured signal outputs
  • Self-serve key rotation
  • Rate-limited API access
  • Priority burst limits
Get Free API Key
ProfessionalCore
$299 / month

For production teams that need expanded analytical capacity, higher limits, and agent-facing access with operational reliability.

  • Everything in Developer
  • Higher burst limits · custom rate
  • Priority inference and analysis
  • Priority analytical processing · low latency
  • Customer-input comparison and calibration
  • Account-scoped usage visibility
Contact Sales
InstitutionalPrivate
Private pricing — volume-based

For research labs, private operators, and AI teams that need governed historical intelligence, dedicated support, and controlled high-volume deployment.

  • Everything in Professional
  • Deep historical intelligence across supported sports
  • Feature-engineered analytical context
  • Ensemble prediction models
  • Dedicated MCP endpoint
  • Priority support + private onboarding
Contact us
MCP Server

Works with your AI tools.

Connect Navetica as an MCP server. Your AI assistant calls the API, parses structured responses, and reasons over predictions, calibration, and decision context.

Navetica
Your Favorite IDE
AI Code Editor
Your AI Agent
Any LLM
Automation Tool
Any MCP
$ npx navetica-mcp connect
How It Works

Connect once. Let your tools operate against structured signal surfaces.

Navetica can sit behind your editor, agent runtime, or internal orchestration layer. MCP gives your tools a controlled interface to request signals, parse responses, and act inside a governed workflow.

  • Connect your AI workspace to Navetica through MCP
  • Submit authorized inputs and request prediction, signal, and context objects
  • Support human review loops and autonomous operations from the same core
npx navetica-mcp connect
What It Connects To

Stable API surfaces for prediction, context, and signal evaluation.

The MCP layer gives AI systems a predictable way to work with Navetica’s governed API. Agents can discover events, request predictions, compare supplied references, and keep account access organized.

  • Discover event context through /api/events
  • Request predictions and rationale through /api/predict
  • Compare supplied references through /api/edge
events · predictions · signals
Why Teams Use It

Built for private environments, operator workflows, and agent-native access.

Navetica is not positioned as a retail toy. The MCP surface is there for teams that want an enterprise-ready bridge between AI tooling, controlled data access, and real operational use cases.

  • Works across IDEs, assistants, and autonomous toolchains
  • Fits private deployments and high-trust internal workflows
  • Lets AI systems consume signal infrastructure without exposing core internals
mcp.navetica.com · private environments

Built for disciplined teams.
Ready for human and autonomous operations.

Developer access for evaluation. Professional access for production analysis. Institutional deployments for private, high-trust environments.

Get API Key
curl -X POST https://api.navetica.com/api/predict Copied!
Hey human
Give your AI structured sports intelligence through the Navetica API.
api.navetica.com
Share with your AI