LUMI
Decentralized AI dual-agent oracle engine predicting BTC price movements based on sentiment analysis (Lumi) and technical patterns (Tenna). Participate in prediction markets and manage AI node allocations.
OtherLiveeip155:8453Exactvia cdp
ForecastCalibrationAccuracy
Calls · 30d
1→ 0%
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 27 snapshots so far.
$1.61
Verified settled volume
120 settlements proven x402 by their on-chain EIP-3009 marker.
$0.010
Listed price
As published in the catalog. Always read the live 402 before paying.
1
Calls · 30d
Upstream's own call count for this endpoint, not ours.
1
Unique payers · 30d
Last called 2026-08-21 05:02Z
—
Upstream on-chain volume
Reported by the source catalog.
Paid to
0x7eaf3c393a8996e124c0fa7ccbc55019854c4c5bThe wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913
Provider
The payTo wallet does not resolve to a registered ERC-8004 agent. That is not a verdict on the service — most of the catalog is unregistered.
Live 402 challenge
Captured by the enrichment pass, not read just now. Prices can change — always read the 402 the endpoint answers with.
{
"error": "payment_required",
"accepts": [
{
"asset": "0x833589fcd6edb6e08f4c7c32d4f71b54bda02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x7eaf3c393a8996e124c0fa7ccbc55019854c4c5b",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"resource": "https://app.tenna.ai/api/x402/lumi/forecast_calibration",
"maxTimeoutSeconds": 60
}
],
"resource": {
"url": "https://app.tenna.ai/api/x402/lumi/forecast_calibration",
"tags": [
"forecast",
"calibration",
"accuracy"
],
"mimeType": "application/json",
"description": "Forecast Calibration Report. Directional accuracy per forecasting agent over resolved 5-minute rounds. Reported honestly: accuracy near 50% means no demonstrated edge. The value here is an auditable scoring harness and baseline history, not the predictions.",
"serviceName": "LUMI"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"limit": 1,
"offering": "forecast_calibration"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"agents": [
{
"hits": 1,
"agent": "<agent>",
"accuracyPct": null,
"coveragePct": null,
"resolvedRounds": 1
}
],
"summary": {
"agentCount": 1,
"bestAgents": [
"<bestAgents>"
],
"worstAgents": [
"<worstAgents>"
],
"interpretation": "DESCRIPTIVE_ONLY_NO_DEMONSTRATED_EDGE",
"bestAccuracyPct": null,
"meanAccuracyPct": null,
"agentsAbove50Pct": 1,
"denominatorRange": null,
"worstAccuracyPct": null,
"sharedDenominator": true
},
"offering": "forecast_calibration",
"provenance": {
"source": "<source>",
"resultHash": null,
"generatedAt": 1,
"rubricVersion": null,
"ledgerSpanHours": null,
"ledgerLaunchCount": null,
"auditedDeliverableHash": null
},
"limitations": [
"<limitations>"
],
"schemaVersion": "<schemaVersion>",
"agentNameBasis": "SOURCE_HISTORY_AGENT_NAME_UNMODIFIED",
"resolvedRounds": 1
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"required": [
"offering",
"limit"
],
"properties": {
"limit": {
"type": "integer",
"maximum": 200,
"minimum": 1,
"description": "Rounds to score (1-200)."
},
"offering": {
"type": "string",
"const": "forecast_calibration",
"description": "Offering identifier. Must be exactly 'forecast_calibration'."
}
},
"description": "How many recent rounds to score.",
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"schemaVersion",
"offering",
"provenance",
"limitations",
"resolvedRounds",
"agentNameBasis",
"summary",
"agents"
],
"properties": {
"agents": {
"type": "array",
"items": {
"type": "object",
"required": [
"agent",
"resolvedRounds",
"hits",
"accuracyPct",
"coveragePct"
],
"properties": {
"hits": {
"type": "integer",
"description": "Correct predictions for this agent only."
},
"agent": {
"type": "string",
"description": "Forecasting agent name."
},
"accuracyPct": {
"type": [
"number",
"null"
],
"description": "100 * hits / this agent's resolvedRounds, rounded to one decimal place."
},
"coveragePct": {
"type": [
"number",
"null"
],
"description": "Share of the resolved source rounds this agent submitted to. Below 100 means its accuracy rests on fewer rounds than another agent's."
},
"resolvedRounds": {
"type": "integer",
"description": "This agent's prediction coverage within the distinct resolved source rounds."
}
},
"additionalProperties": false
},
"description": "Per-agent accuracy over the same requested rounds."
},
"summary": {
"type": "object",
"required": [
"agentCount",
"meanAccuracyPct",
"bestAccuracyPct",
"bestAgents",
"worstAccuracyPct",
"worstAgents",
"agentsAbove50Pct",
"sharedDenominator",
"denominatorRange",
"interpretation"
],
"properties": {
"agentCount": {
"type": "integer",
"description": "Agents with scored predictions."
},
"bestAgents": {
"type": "array",
"items": {
"type": "string"
},
"description": "All agents tied at the highest accuracy."
},
"worstAgents": {
"type": "array",
"items": {
"type": "string"
},
"description": "All agents tied at the lowest accuracy."
},
"interpretation": {
"type": "string",
"const": "DESCRIPTIVE_ONLY_NO_DEMONSTRATED_EDGE",
"description": "Fixed guard against reading the summary as edge."
},
"bestAccuracyPct": {
"type": [
"number",
"null"
],
"description": "Highest descriptive accuracy."
},
"meanAccuracyPct": {
"type": [
"number",
"null"
],
"description": "Unweighted mean of per-agent accuracy."
},
"agentsAbove50Pct": {
"type": "integer",
"description": "Agents whose descriptive accuracy exceeds 50%."
},
"denominatorRange": {
"type": [
"array",
"null"
],
"items": {
"type": "integer"
},
"description": "Smallest and largest per-agent resolvedRounds among scored agents."
},
"worstAccuracyPct": {
"type": [
"number",
"null"
],
"description": "Lowest descriptive accuracy."
},
"sharedDenominator": {
"type": "boolean",
"description": "True when every scored agent was measured over the same number of rounds. False means accuracyPct values are not directly comparable without their denominators."
}
},
"description": "Buyer-readable descriptive summary; it does not claim statistical significance or forecasting edge.",
"additionalProperties": false
},
"offering": {
"type": "string",
"const": "forecast_calibration",
"description": "Offering that produced this result."
},
"provenance": {
"type": "object",
"properties": {
"source": {
"type": "string",
"description": "Data origin."
},
"resultHash": {
"type": [
"string",
"null"
],
"description": "Hash of the audited input, so the same verdict can be reproduced. Present on audit offerings."
},
"generatedAt": {
"type": "integer",
"description": "Unix seconds."
},
"rubricVersion": {
"type": [
"string",
"null"
],
"description": "Rubric the verdict was produced under. Present on audit offerings."
},
"ledgerSpanHours": {
"type": [
"number",
"null"
],
"description": "Hours of history covered. Null when the offering is not derived from the launch ledger."
},
"ledgerLaunchCount": {
"type": [
"integer",
"null"
],
"description": "Launches in the ledger. Null when the offering is not derived from the launch ledger — this means not applicable, not collection failure."
},
"auditedDeliverableHash": {
"type": [
"string",
"null"
],
"description": "Explicit alias for resultHash on deliverable-audit results; hashes the buyer-supplied input, not the audit envelope."
}
},
"description": "Reproducibility metadata so another agent can audit this."
},
"limitations": {
"type": "array",
"items": {
"type": "string"
},
"description": "Coverage limits and missing data, always disclosed."
},
"schemaVersion": {
"type": "string",
"description": "Deliverable contract version."
},
"agentNameBasis": {
"type": "string",
"const": "SOURCE_HISTORY_AGENT_NAME_UNMODIFIED",
"description": "How agent identifiers are derived; source names are preserved without inventing a taxonomy."
},
"resolvedRounds": {
"type": "integer",
"description": "Distinct requested source rounds that have a resolution; this is never summed across agents."
}
},
"additionalProperties": true
}
}
}
}
},
"resource": "https://app.tenna.ai/api/x402/lumi/forecast_calibration",
"discoverable": true
}
},
"x402Version": 2
}Accepts
The payment requirements as published to the catalog. Read the live 402 before paying — a price here is a claim, not a quote.
0.01USDC≈ $0.01 USD
on Base · exact scheme
Pay 0.01 USDC on Base to 0x7eaf…c4c5b. The signed payment is good for 1 minute.
- Paid to
- 0x7eaf…c4c5b
- USD Coin contract
- 0x8335…02913
- Payment window
- 1 minute
- As published
- 10000 smallest units
The catalog’s raw entry
[
{
"asset": "0x833589fcd6edb6e08f4c7c32d4f71b54bda02913",
"extra": {
"name": "USD Coin",
"version": "2"
},
"payTo": "0x7eaf3c393a8996e124c0fa7ccbc55019854c4c5b",
"amount": "10000",
"scheme": "exact",
"network": "eip155:8453",
"resource": "https://app.tenna.ai/api/x402/lumi/forecast_calibration",
"maxTimeoutSeconds": 60
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"limit": 1,
"offering": "forecast_calibration"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"agents": [
{
"hits": 1,
"agent": "<agent>",
"accuracyPct": null,
"resolvedRounds": 1
}
],
"summary": {
"agentCount": 1,
"bestAgents": [
"<bestAgents>"
],
"worstAgents": [
"<worstAgents>"
],
"interpretation": "DESCRIPTIVE_ONLY_NO_DEMONSTRATED_EDGE",
"bestAccuracyPct": null,
"meanAccuracyPct": null,
"agentsAbove50Pct": 1,
"worstAccuracyPct": null
},
"offering": "forecast_calibration",
"provenance": {
"source": "<source>",
"resultHash": null,
"generatedAt": 1,
"rubricVersion": null,
"ledgerSpanHours": null,
"ledgerLaunchCount": null,
"auditedDeliverableHash": null
},
"limitations": [
"<limitations>"
],
"schemaVersion": "<schemaVersion>",
"agentNameBasis": "SOURCE_HISTORY_AGENT_NAME_UNMODIFIED",
"resolvedRounds": 1
}
}
},
"schema": {
"type": "object",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"required": [
"input"
],
"properties": {
"input": {
"type": "object",
"required": [
"type",
"method",
"bodyType",
"body"
],
"properties": {
"body": {
"type": "object",
"required": [
"offering",
"limit"
],
"properties": {
"limit": {
"type": "integer",
"maximum": 200,
"minimum": 1,
"description": "Rounds to score (1-200)."
},
"offering": {
"type": "string",
"description": "Offering identifier. Must be exactly 'forecast_calibration'."
}
},
"description": "How many recent rounds to score.",
"additionalProperties": false
},
"type": {
"type": "string",
"const": "http"
},
"method": {
"enum": [
"POST"
],
"type": "string"
},
"bodyType": {
"enum": [
"json"
],
"type": "string"
}
},
"additionalProperties": false
},
"output": {
"type": "object",
"required": [
"type"
],
"properties": {
"type": {
"type": "string"
},
"example": {
"type": "object",
"required": [
"schemaVersion",
"offering",
"provenance",
"limitations",
"resolvedRounds",
"agentNameBasis",
"summary",
"agents"
],
"properties": {
"agents": {
"type": "array",
"items": {
"type": "object",
"required": [
"agent",
"resolvedRounds",
"hits",
"accuracyPct"
],
"properties": {
"hits": {
"type": "integer",
"description": "Correct predictions for this agent only."
},
"agent": {
"type": "string",
"description": "Forecasting agent name."
},
"accuracyPct": {
"type": [
"number",
"null"
],
"description": "100 * hits / this agent's resolvedRounds, rounded to one decimal place."
},
"resolvedRounds": {
"type": "integer",
"description": "This agent's prediction coverage within the distinct resolved source rounds."
}
},
"additionalProperties": false
},
"description": "Per-agent accuracy over the same requested rounds."
},
"summary": {
"type": "object",
"required": [
"agentCount",
"meanAccuracyPct",
"bestAccuracyPct",
"bestAgents",
"worstAccuracyPct",
"worstAgents",
"agentsAbove50Pct",
"interpretation"
],
"properties": {
"agentCount": {
"type": "integer",
"description": "Agents with scored predictions."
},
"bestAgents": {
"type": "array",
"items": {
"type": "string"
},
"description": "All agents tied at the highest accuracy."
},
"worstAgents": {
"type": "array",
"items": {
"type": "string"
},
"description": "All agents tied at the lowest accuracy."
},
"interpretation": {
"type": "string",
"const": "DESCRIPTIVE_ONLY_NO_DEMONSTRATED_EDGE",
"description": "Fixed guard against reading the summary as edge."
},
"bestAccuracyPct": {
"type": [
"number",
"null"
],
"description": "Highest descriptive accuracy."
},
"meanAccuracyPct": {
"type": [
"number",
"null"
],
"description": "Unweighted mean of per-agent accuracy."
},
"agentsAbove50Pct": {
"type": "integer",
"description": "Agents whose descriptive accuracy exceeds 50%."
},
"worstAccuracyPct": {
"type": [
"number",
"null"
],
"description": "Lowest descriptive accuracy."
}
},
"description": "Buyer-readable descriptive summary; it does not claim statistical significance or forecasting edge.",
"additionalProperties": false
},
"offering": {
"type": "string",
"const": "forecast_calibration",
"description": "Offering that produced this result."
},
"provenance": {
"type": "object",
"properties": {
"source": {
"type": "string",
"description": "Data origin."
},
"resultHash": {
"type": [
"string",
"null"
],
"description": "Hash of the audited input, so the same verdict can be reproduced. Present on audit offerings."
},
"generatedAt": {
"type": "integer",
"description": "Unix seconds."
},
"rubricVersion": {
"type": [
"string",
"null"
],
"description": "Rubric the verdict was produced under. Present on audit offerings."
},
"ledgerSpanHours": {
"type": [
"number",
"null"
],
"description": "Hours of history covered. Null when the offering is not derived from the launch ledger."
},
"ledgerLaunchCount": {
"type": [
"integer",
"null"
],
"description": "Launches in the ledger. Null when the offering is not derived from the launch ledger — this means not applicable, not collection failure."
},
"auditedDeliverableHash": {
"type": [
"string",
"null"
],
"description": "Explicit alias for resultHash on deliverable-audit results; hashes the buyer-supplied input, not the audit envelope."
}
},
"description": "Reproducibility metadata so another agent can audit this."
},
"limitations": {
"type": "array",
"items": {
"type": "string"
},
"description": "Coverage limits and missing data, always disclosed."
},
"schemaVersion": {
"type": "string",
"description": "Deliverable contract version."
},
"agentNameBasis": {
"type": "string",
"const": "SOURCE_HISTORY_AGENT_NAME_UNMODIFIED",
"description": "How agent identifiers are derived; source names are preserved without inventing a taxonomy."
},
"resolvedRounds": {
"type": "integer",
"description": "Distinct requested source rounds that have a resolution; this is never summed across agents."
}
},
"additionalProperties": true
}
}
}
}
},
"resource": "https://app.tenna.ai/api/x402/lumi/forecast_calibration",
"discoverable": true
}
}Provenance
- Seen in the source catalog
- 2026-08-21 05:02Z
- Last indexed by Roundhouse
- 2026-09-20 04:50Z
- Last enriched (probe, favicon, geo)
- 2026-09-24 04:45Z
- x402 version
- 2
- Max timeout
- 60s
- Liveness probe
- HTTP 402
Hand this page to an agent
Copy the prompt and paste it into Claude, an MCP client or your own agent — it will vet this service and call it over the free read API. No key, no account.
GET api.roundhouseai.io/v0/endpoints
This endpoint's own trailing-30-day call count, as published by the upstream catalog and snapshotted daily. 27 snapshots so far. Verified volume counts only settlements with an on-chain EIP-3009 marker.
Show the promptHide the prompt
Using Roundhouse, look up the x402 service LUMI and tell me whether it is worth paying: what a call costs, whether the endpoint answered when last probed, and what its payment record actually shows. curl -s 'https://api.roundhouseai.io/v0/endpoints?q=LUMI' curl -s 'https://api.roundhouseai.io/v0/merchants/<the payTo wallet returned above>' Then call it: read the price from the live 402 at https://app.tenna.ai/api/x402/lumi/forecast_calibration, never from a cached figure, and pay with an x402 client. The /v0 API needs an API key (`authorization: Bearer rh_live_…`) on everything except /v0/unified* and /v0/endpoints. Mint a personal key for $0.01 at GET https://api.roundhouseai.io/v0/test/x402, or use an organization key from https://roundhouseai.io/dashboard/team. If you do not have Roundhouse tools or skills installed, read https://roundhouseai.io/skill.md first — it is the whole procedure.