ROI = Real Objects Intelligence: actionable, timestamped intelligence objects — not stale datasets.
One query. Six subsystems. Full intelligence package.
19 AI skills, semantic memory, 50 state experts, event machine.
Traditional CRE: 200 cold calls/day, manual comp pulls, hand-written IC memos.
SwarmCRE: one query → full intelligence package → 2M dials/day at edge speed.
Natural language or structured. Heuristic parser extracts asset type, state, city, SF, price, cap rate, intent in <5ms.
6 subsystems run in parallel: semantic memory, event database, entity resolution, market context, infrastructure map, state expert.
Full package in <2s. Market heat, comps, events, entities, skill recommendations. Deep mode executes skills for you.
Each skill: system prompt → Qwen3-30B edge AI → JSON validation → R2 finality.
Execute individually or let the search orchestrator recommend the right ones.
One endpoint. Full intelligence package. No SDK required.
router.swarmandbee.com = public/basic. api.router.swarmandbee.com = authenticated + metered.
curl -X POST https://router.swarmandbee.com/search \
-H "Content-Type: application/json" \
-d '{"query": "85K SF warehouse Alliance TX 6% cap"}'
# Deep mode (executes recommended skills)
curl -X POST https://api.router.swarmandbee.com/search \
-H "Content-Type: application/json" \
-H "X-API-Key: sb_live_your_key" \
-d '{"query": "cold storage Miami FL", "deep": true}'import requests
# Basic search (free on router domain)
r = requests.post("https://router.swarmandbee.com/search",
json={"query": "85K SF warehouse Alliance TX 6% cap"})
data = r.json()
print(f"Parsed: {data['parsed']}")
print(f"Market: {data['market_context']['label']}")
print(f"Skills: {data['skills']['recommended']}")
print(f"Latency: {data['latency_ms']}ms")const res = await fetch("https://router.swarmandbee.com/search", {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify({
query: "85K SF warehouse Alliance TX 6% cap"
})
});
const data = await res.json();
console.log(`Parsed: ${JSON.stringify(data.parsed)}`);
console.log(`Market: ${data.market_context?.label}`);
console.log(`Skills: ${data.skills.recommended}`);
console.log(`Latency: ${data.latency_ms}ms`);Not text. Not summaries. Not chat. A bankable intelligence package.
Every object: schema-validated, machine-usable, composable, auditable, Hedera-timestamped.
Scenario: "950K SF single-tenant industrial Florida" → full package in <2s
{
"object_type": "AssetIntelligenceObject",
"asset_type": "industrial_single_tenant",
"state": "FL",
"sf": 950000,
"clear_height_ft": 36,
"dock_doors": 80,
"trailer_parking": 200,
"rail_served": false,
"sprinkler": "ESFR",
"zoning": "industrial",
"occupancy": 1.0,
"lease_type": "NNN",
"market_rent_psf": 8.25,
"vacancy_market": 0.042,
"hedera_timestamp": "2025-02-24T18:32:01.443Z",
"confidence": 0.94,
"source_skill": "broker_senior"
}{
"object_type": "MarketSnapshotObject",
"market": "Central Florida",
"asset_class": "industrial",
"rent_range_nnn_psf": [6.50, 9.75],
"vacancy_pct": 4.2,
"cap_rate_range": [5.25, 6.25],
"market_heat": 82,
"tier": 1,
"population_growth_yoy": 0.019,
"job_growth_yoy": 0.027,
"major_employers": [
"Amazon", "FedEx", "Publix", "Chewy"
],
"infrastructure": {
"interstate": ["I-4", "I-75", "I-95"],
"port": "Port Tampa Bay / Port Everglades",
"airport": "MCO / TPA"
},
"tax_environment": {
"property_tax_rate": 0.018,
"income_tax": false,
"incentive_zones": ["Enterprise Zone", "QOZ"]
},
"hedera_timestamp": "2025-02-24T18:32:01.443Z",
"confidence": 0.91,
"source_skill": "market_report"
}{
"object_type": "FinancialObject",
"base_rent_psf": 8.25,
"gross_income": 7837500,
"stabilized_noi_estimate": 7700000,
"lease_structure": "NNN",
"tenant_pays": ["taxes", "insurance", "CAM"],
"landlord_expense": "asset_mgmt + reserves",
"confidence_score": 0.74
}950K SF × $8.25 NNN = $7.84M gross. Single-tenant NNN: tenant pays taxes, insurance, CAM. NOI ≈ $7.7M after minor reserves.
{
"object_type": "ValuationObject",
"low_estimate": 123200000,
"high_estimate": 146600000,
"midpoint": 135000000,
"value_per_sf_mid": 142,
"cap_rate_low": 0.0525,
"cap_rate_high": 0.0625,
"noi_used": 7700000,
"confidence_score": 0.72
}At 5.25% cap: $146.6M. At 6.25% cap: $123.2M. Midpoint ≈ $135M ($142/SF).
{
"object_type": "RiskFlagObject",
"tenant_concentration": "100%",
"lease_term_dependency": "Critical",
"re_leasing_risk": "High if specialized build",
"insurance_exposure": "Elevated in FL",
"storm_exposure": "Location-specific",
"market_oversupply_risk": "Monitor deliveries pipeline",
"confidence_score": 0.77
}{
"object_type": "AdvisoryObject",
"investment_profile": "Core / Core+",
"strength_score": 0.82,
"risk_score": 0.61,
"overall_confidence": 0.75,
"strengths": [
"Long-term NNN lease",
"Strong FL logistics tailwinds",
"Institutional-grade bulk size"
],
"watch_items": [
"Lease term remaining (years left?)",
"Tenant credit rating",
"Re-leasing feasibility if vacated"
],
"executive_summary": "A 950K SF stabilized single-tenant industrial asset in Florida represents an institutional-grade logistics investment with estimated valuation between $123M and $147M depending on tenant credit, lease term remaining, and submarket positioning."
}{
"object_type": "ActionPlanObject",
"next_steps": [
"verify lease term remaining",
"verify tenant credit rating",
"pull 900K+ SF comps (FL industrial)",
"stress test cap rate expansion +100-150bps",
"analyze insurance trend year-over-year"
],
"skills_to_execute": [
"comp_analyzer",
"debt_analyzer",
"tax_assessor",
"investor"
]
}7 objects. Machine-usable. Auditable. Composable. Final.
This is not a dataset row. This is a bankable intelligence package.
Pay for what you use. Basic search is free on the router domain.
Every Intelligence Object timestamped on Hedera Consensus Service.
HCS-10 OpenConvAI compliant. Agent-to-agent communication on public ledger.
Every ROI object is auditable and replayable — receipts for agents.
Peer-to-peer agent messaging via Hedera Consensus Service. Connection management, registry discovery, signed transactions.
Agent identity on-chain. 19 skills, capabilities, endpoints — discoverable by any agent in the OpenConvAI ecosystem.
Every cooked object stored in R2 with Hedera consensus timestamp. Immutable provenance for CRE intelligence.
0.0.102988340.0.102988370.0.10298836HCS-10 OpenConvAI