Test a crypto, protocol, company, or market investment thesis with current cited evidence
Test a crypto, protocol, company, or market investment thesis with current cited evidence. Returns thesis status, verdict, confidence, catalysts, risks, red flags, invalidation conditions, monitoring triggers, unknowns, and next diligence steps as structured JSON. Useful to trading and portfolio agents as a research input; never executes trades.
1000000 (raw units)
price
3
calls / 30d
1
unique payers
2026-09-02
updated
Provider
research.lumenhouse.xyz · discovered, not yet claimed by its owner
Payment (x402 accepts[])
[
{
"scheme": "exact",
"network": "eip155:8453",
"payTo": "0xfdfadd01edcbabe025931e45cdc8532b00218500",
"asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
"amount": "1000000",
"maxTimeoutSeconds": 300
}
]Output schema
{
"bazaar": {
"info": {
"input": {
"body": {
"horizon": "months",
"question": "What evidence supports or rejects the current investment thesis?",
"risk_tolerance": "high",
"subject": "Virtuals Protocol"
},
"bodyType": "json",
"method": "POST",
"type": "http"
},
"output": {
"example": {
"model": "gpt-5.6-sol",
"report": {
"as_of": "2026-08-27",
"catalysts": [
"Sustained protocol revenue growth."
],
"confidence": "medium",
"disclaimer": "Research only; not financial advice.",
"evidence": [
{
"claim": "Example evidence claim",
"source_title": "Primary source",
"source_url": "https://example.com/source"
}
],
"executive_summary": "Evidence is mixed; further diligence is warranted.",
"invalidation_conditions": [
"Protocol revenue declines for two consecutive quarters."
],
"monitoring_triggers": [
"Official quarterly revenue disclosure."
],
"next_steps": [
"Verify revenue and treasury disclosures."
],
"red_flags": [
"Unverified partnership claims."
],
"risks": [
"Token value capture may remain weak."
],
"subject": "Example Asset",
"thesis": [
"Adoption is growing, but monetization evidence remains incomplete."
],
"thesis_status": "mixed",
"unknowns": [
"Future token value-capture mechanism."
],
"verdict": "watch"
},
"report_id": "lr_example"
},
"type": "json"
}
},
"schema": {
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"body": {
"properties": {
"campaign": {
"description": "Optional non-secret campaign label",
"type": "string"
},
"client_tag": {
"description": "Optional non-secret buyer attribution label",
"type": "string"
},
"context": {
"description": "Optional factual context",
"type": "string"
},
"horizon": {
"enum": [
"days",
"weeks",
"months",
"years"
],
"type": "string"
},
"question": {
"description": "Decision-oriented research question",
"type": "string"
},
"risk_tolerance": {
"enum": [
"low",
"medium",
"high"
],
"type": "string"
},
"subject": {
"description": "Asset, company, protocol, or investment subject",
"type": "string"
}
},
"required": [
"subject",
"question"
]
},
"bodyType": {
"enum": [
"json",
"form-data",
"text"
],
"type": "string"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method",
"bodyType",
"body"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"model": {
"type": "string"
},
"report": {
"properties": {
"as_of": {
"type": "string"
},
"catalysts": {
"items": {
"type": "string"
},
"type": "array"
},
"confidence": {
"enum": [
"low",
"medium",
"high"
],
"type": "string"
},
"disclaimer": {
"type": "string"
},
"evidence": {
"items": {
"type": "object"
},
"type": "array"
},
"executive_summary": {
"type": "string"
},
"invalidation_conditions": {
"items": {
"type": "string"
},
"type": "array"
},
"monitoring_triggers": {
"items": {
"type": "string"
},
"type": "array"
},
"next_steps": {
"items": {
"type": "string"
},
"type": "array"
},
"red_flags": {
"items": {
"type": "string"
},
"type": "array"
},
"risks": {
"items": {
"type": "string"
},
"type": "array"
},
"subject": {
"type": "string"
},
"thesis": {
"items": {
"type": "string"
},
"type": "array"
},
"thesis_status": {
"enum": [
"supported",
"contradicted",
"mixed",
"insufficient_evidence"
],
"type": "string"
},
"unknowns": {
"items": {
"type": "string"
},
"type": "array"
},
"verdict": {
"enum": [
"avoid",
"watch",
"neutral",
"consider"
],
"type": "string"
}
},
"required": [
"subject",
"as_of",
"verdict",
"thesis_status",
"confidence",
"executive_summary",
"thesis",
"catalysts",
"risks",
"red_flags",
"invalidation_conditions",
"monitoring_triggers",
"evidence",
"unknowns",
"next_steps",
"disclaimer"
],
"type": "object"
},
"report_id": {
"type": "string"
}
},
"required": [
"report_id",
"model",
"report"
],
"type": "object"
},
"type": {
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}
}
}Use it
curl
curl "https://research.lumenhouse.xyz/v1/research" # -> 402 Payment Required, accepts[] lists how to pay # retry with a PAYMENT-SIGNATURE (or PAYMENT header) once paid
JavaScript
const res = await fetch("https://research.lumenhouse.xyz/v1/research");
if (res.status === 402) {
const { accepts } = await res.json();
// pay one of accepts[] via an x402 client, then retry with the payment header
}Python
import httpx
res = httpx.get("https://research.lumenhouse.xyz/v1/research")
if res.status_code == 402:
accepts = res.json()["accepts"]
# pay one of accepts[] via an x402 client, then retry with the payment headerMachine-readable
Everything on this page is also available as clean JSON at /resources/8309.json, and this resource appears in /discovery/resources and /discovery/search.