Aggressive.ai exposes a public, JSON HTTP API that routes any AI task to the least-expensive model and provider clearing your quality, latency, privacy and tool-use thresholds. Wrap it as a tool inside any agent framework — OpenAI, Anthropic, LangGraph, Vercel AI SDK, custom orchestrators. The same engine powers the web UI; there is no second-tier surface for agents.
POST /api/public/optimize
Content-Type: application/json
{
"category": "agentic tool calling",
"location": "EU",
"minPerformance": 85,
"maxMonthly": 400,
"minRating": 4,
"mode": "aggressive"
}
// category → task type (RAG QA, code generation, summarisation, embeddings…)
// location → data-residency region (EU, US, UK, global)
// minPerformance → quality floor, 0-100
// maxMonthly → monthly inference spend ceiling
// minRating → provider reliability floor, 0-5{
"taskSpec": { ... },
"top": {
"providerName": "Groq",
"planName": "Llama 4 70B — production",
"monthlyPrice": 148,
"totalCost12mo": 1776,
"performance": { "label": "quality 88 / p95 240ms" },
"reviewRating": 4.6,
"reviewCount": 6890,
"friction": { "contractMonths": 0 },
"score": {
"price": 94, "performance": 92, "reviews": 88,
"availability": 90, "frictionPenalty": 4,
"aggressive": 88,
"factors": ["Lowest cost per task at the quality floor", "p95 latency inside budget"]
},
"explanation": "Groq — Llama 4 70B scored 88/100 in aggressive mode..."
},
"offers": [ ... ],
"pluginsUsed": [
{ "id": "live-model-price-index", "ok": true, "ms": 1820, "count": 8 },
{ "id": "provider-baseline-index", "ok": true, "ms": 30, "count": 8 }
]
}GET /api/public/plugins
→ {
"plugins": [ { "id": "live-model-price-index", "category": "inference", "geography": "global", ... } ]
}{
"name": "route_ai_task",
"description": "Given a task type and thresholds, returns ranked model+provider routes optimized for lowest cost that still clears quality, latency, privacy and tool-use requirements.",
"input_schema": {
"type": "object",
"required": ["category"],
"properties": {
"category": { "type": "string", "description": "Task type: RAG QA, code generation, summarisation, classification, embeddings, agentic tool calling, transcription…" },
"location": { "type": "string", "description": "Data-residency region: EU, US, UK, global" },
"minPerformance": { "type": "number", "description": "Quality floor 0-100" },
"maxMonthly": { "type": "number", "description": "Monthly inference spend ceiling" },
"maxContractMonths": { "type": "number", "description": "Commitment tolerance; 0 = on-demand only" },
"minRating": { "type": "number", "minimum": 0, "maximum": 5, "description": "Provider reliability floor" },
"mode": { "type": "string", "enum": ["aggressive","balanced","premium"], "default": "aggressive" }
}
}
}Routing decisions survive provider incidents: degraded or rate-limited endpoints are cooled down automatically and the request retries on the next best route inside your thresholds. Callers always get a JSON response or a clean error envelope, never a leaked upstream failure.
Every routing run produces a stable, SEO-friendly URL at /search/<slug> populated with the ranked shortlist, decision receipt and JSON-LD structured data. Share it, bookmark it, link to it — the page rebuilds the answer on demand from the slug.