LUMI
Social Post / Price Timing Check. Whether social posts led or lagged the price move, measured on Robinhood-chain token launches only — not BTC, ETH or listed majors. Post times are recovered arithmetically from X snowflake ids. The sample is small, outcome-selected from pumped launches, and can be weeks old; its age in days ships with the result. In our sample posts lagged the move, so this is a timing disclosure and never an early-warning or entry signal.
The wallet the 402 directs payment to. Its whole payment record — every payer, every chain — is on the merchant page.
Asset 0x833589fcd6edb6e08f4c7c32d4f71b54bda02913
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/social_timing_check",
"maxTimeoutSeconds": 60
}
],
"resource": {
"url": "https://app.tenna.ai/api/x402/lumi/social_timing_check",
"tags": [
"social",
"timing",
"price",
"evidence"
],
"mimeType": "application/json",
"description": "Social Post / Price Timing Check. Whether social posts led or lagged the price move, measured on Robinhood-chain token launches only — not BTC, ETH or listed majors. Post times are recovered arithmetically from X snowflake ids. The sample is small, outcome-selected from pumped launches, and can be weeks old; its age in days ships with the result. In our sample posts lagged the move, so this is a timing disclosure and never an early-warning or entry signal.",
"serviceName": "LUMI"
},
"extensions": {
"bazaar": {
"info": {
"input": {
"body": {
"offering": "social_timing_check"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"verdict": "<verdict>",
"offering": "social_timing_check",
"provenance": {
"source": "<source>",
"resultHash": null,
"generatedAt": 1,
"rubricVersion": null,
"ledgerSpanHours": null,
"ledgerLaunchCount": null,
"auditedDeliverableHash": null
},
"sampleSize": 1,
"limitations": [
"<limitations>"
],
"sampleTokens": [
"<sampleTokens>"
],
"sampleWindow": {
"durationSeconds": null,
"latestFirstPostAt": null,
"earliestFirstPostAt": null
},
"schemaVersion": "<schemaVersion>",
"sampleInference": {
"scope": "<scope>",
"reason": "<reason>",
"refreshState": "<refreshState>",
"populationEstimateValid": true
},
"sampleSelection": {
"chain": "<chain>",
"group": "<group>",
"ranking": "<ranking>",
"searchKey": "<searchKey>",
"minimumSwaps": null,
"outcomeSelected": true,
"pumpThresholdMultiple": null
},
"sampleObservedAt": null,
"sampleLeadMinutes": [
1
],
"leadDistributionMinutes": {
"p25": null,
"p75": null,
"unit": "<unit>",
"median": null,
"maximum": null,
"minimum": null
}
}
}
},
"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"
],
"properties": {
"offering": {
"type": "string",
"const": "social_timing_check",
"description": "Offering identifier. Must be exactly 'social_timing_check'."
},
"tokenAddress": {
"type": "string",
"description": "Optional 0x token address to check."
}
},
"description": "Optional token to look up in the sample.",
"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",
"sampleSize",
"verdict",
"sampleTokens",
"sampleWindow",
"sampleLeadMinutes",
"leadDistributionMinutes",
"sampleObservedAt",
"sampleSelection",
"sampleInference"
],
"properties": {
"verdict": {
"type": "string",
"description": "SOCIAL_LAGS_PRICE | MIXED | NO_SAMPLE."
},
"offering": {
"type": "string",
"const": "social_timing_check",
"description": "Offering that produced this result."
},
"laggingPct": {
"type": [
"number",
"null"
],
"description": "Share of posts that lagged."
},
"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."
},
"sampleSize": {
"type": "integer",
"description": "Tokens with a measured lead time."
},
"limitations": {
"type": "array",
"items": {
"type": "string"
},
"description": "Coverage limits and missing data, always disclosed."
},
"laggingPosts": {
"type": [
"integer",
"null"
],
"description": "Posts that came after the move."
},
"sampleTokens": {
"type": "array",
"items": {
"type": "string"
},
"description": "Every token behind the aggregate, so the sample can be audited rather than trusted."
},
"sampleWindow": {
"type": "object",
"required": [
"earliestFirstPostAt",
"latestFirstPostAt",
"durationSeconds"
],
"properties": {
"durationSeconds": {
"type": [
"integer",
"null"
],
"description": "Observed span between the earliest and latest first posts."
},
"latestFirstPostAt": {
"type": [
"integer",
"null"
],
"description": "Latest first post."
},
"earliestFirstPostAt": {
"type": [
"integer",
"null"
],
"description": "Earliest first post."
}
},
"description": "First-post span the sample was measured over.",
"additionalProperties": false
},
"sampleAgeDays": {
"type": [
"number",
"null"
],
"description": "How old the frozen sample is at delivery, in days. Stated so the age does not have to be derived by subtracting two Unix times. A large value means the observation is historical, not current."
},
"schemaVersion": {
"type": "string",
"description": "Deliverable contract version."
},
"sampleInference": {
"type": "object",
"required": [
"scope",
"populationEstimateValid",
"reason",
"refreshState"
],
"properties": {
"scope": {
"type": "string",
"description": "SELECTED_SAMPLE_ONLY."
},
"reason": {
"type": "string",
"description": "SMALL_OUTCOME_SELECTED_SAMPLE."
},
"refreshState": {
"type": "string",
"description": "HISTORICAL | CURRENT_WITHIN_30_DAYS | UNKNOWN."
},
"populationEstimateValid": {
"type": "boolean",
"description": "Always false for this outcome-selected artifact."
}
},
"description": "Machine-readable boundary for the small, outcome-selected historical sample.",
"additionalProperties": false
},
"sampleSelection": {
"type": "object",
"required": [
"chain",
"group",
"ranking",
"pumpThresholdMultiple",
"minimumSwaps",
"searchKey",
"outcomeSelected"
],
"properties": {
"chain": {
"type": "string",
"description": "Chain sampled."
},
"group": {
"type": "string",
"description": "Eligible sample group."
},
"ranking": {
"type": "string",
"description": "Deterministic selection order."
},
"searchKey": {
"type": "string",
"description": "Exact social-search key type."
},
"minimumSwaps": {
"type": [
"integer",
"null"
],
"description": "Minimum swap observations for eligibility."
},
"outcomeSelected": {
"type": "boolean",
"description": "True: the sample was selected using later outcome."
},
"pumpThresholdMultiple": {
"type": [
"number",
"null"
],
"description": "Minimum peak multiple for the pumped group."
}
},
"description": "Outcome-selected sampling rule and search basis.",
"additionalProperties": false
},
"sampleObservedAt": {
"type": [
"integer",
"null"
],
"description": "Unix time when the frozen source artifact was written."
},
"medianLeadMinutes": {
"type": [
"number",
"null"
],
"description": "Negative means posts came after the move."
},
"sampleLeadMinutes": {
"type": "array",
"items": {
"type": "number"
},
"description": "Sorted per-token lead minutes used to recompute sampleSize, medianLeadMinutes, laggingPosts, laggingPct, and the distribution. Negative values mean the post lagged the price move."
},
"leadDistributionMinutes": {
"type": "object",
"required": [
"minimum",
"p25",
"median",
"p75",
"maximum",
"unit"
],
"properties": {
"p25": {
"type": [
"number",
"null"
],
"description": "Median of the lower half."
},
"p75": {
"type": [
"number",
"null"
],
"description": "Median of the upper half."
},
"unit": {
"type": "string",
"description": "minutes"
},
"median": {
"type": [
"number",
"null"
],
"description": "Statistical sample median."
},
"maximum": {
"type": [
"number",
"null"
],
"description": "Maximum observed lead."
},
"minimum": {
"type": [
"number",
"null"
],
"description": "Minimum observed lead."
}
},
"description": "Descriptive five-number summary of this selected sample; not a population confidence interval.",
"additionalProperties": false
}
},
"additionalProperties": true
}
}
}
}
},
"resource": "https://app.tenna.ai/api/x402/lumi/social_timing_check",
"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.
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/social_timing_check",
"maxTimeoutSeconds": 60
}
]Extensions
{
"bazaar": {
"info": {
"input": {
"body": {
"offering": "social_timing_check"
},
"type": "http",
"method": "POST",
"bodyType": "json"
},
"output": {
"type": "json",
"example": {
"verdict": "<verdict>",
"offering": "social_timing_check",
"provenance": {
"source": "<source>",
"resultHash": null,
"generatedAt": 1,
"rubricVersion": null,
"ledgerSpanHours": null,
"ledgerLaunchCount": null,
"auditedDeliverableHash": null
},
"sampleSize": 1,
"limitations": [
"<limitations>"
],
"sampleTokens": [
"<sampleTokens>"
],
"sampleWindow": {
"durationSeconds": null,
"latestFirstPostAt": null,
"earliestFirstPostAt": null
},
"schemaVersion": "<schemaVersion>",
"sampleInference": {
"scope": "<scope>",
"reason": "<reason>",
"refreshState": "<refreshState>",
"populationEstimateValid": true
},
"sampleSelection": {
"chain": "<chain>",
"group": "<group>",
"ranking": "<ranking>",
"searchKey": "<searchKey>",
"minimumSwaps": null,
"outcomeSelected": true,
"pumpThresholdMultiple": null
},
"sampleObservedAt": null,
"sampleLeadMinutes": [
1
],
"leadDistributionMinutes": {
"p25": null,
"p75": null,
"unit": "<unit>",
"median": null,
"maximum": null,
"minimum": null
}
}
}
},
"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"
],
"properties": {
"offering": {
"type": "string",
"const": "social_timing_check",
"description": "Offering identifier. Must be exactly 'social_timing_check'."
},
"tokenAddress": {
"type": "string",
"description": "Optional 0x token address to check."
}
},
"description": "Optional token to look up in the sample.",
"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",
"sampleSize",
"verdict",
"sampleTokens",
"sampleWindow",
"sampleLeadMinutes",
"leadDistributionMinutes",
"sampleObservedAt",
"sampleSelection",
"sampleInference"
],
"properties": {
"verdict": {
"type": "string",
"description": "SOCIAL_LAGS_PRICE | MIXED | NO_SAMPLE."
},
"offering": {
"type": "string",
"const": "social_timing_check",
"description": "Offering that produced this result."
},
"laggingPct": {
"type": [
"number",
"null"
],
"description": "Share of posts that lagged."
},
"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."
},
"sampleSize": {
"type": "integer",
"description": "Tokens with a measured lead time."
},
"limitations": {
"type": "array",
"items": {
"type": "string"
},
"description": "Coverage limits and missing data, always disclosed."
},
"laggingPosts": {
"type": [
"integer",
"null"
],
"description": "Posts that came after the move."
},
"sampleTokens": {
"type": "array",
"items": {
"type": "string"
},
"description": "Every token behind the aggregate, so the sample can be audited rather than trusted."
},
"sampleWindow": {
"type": "object",
"required": [
"earliestFirstPostAt",
"latestFirstPostAt",
"durationSeconds"
],
"properties": {
"durationSeconds": {
"type": [
"integer",
"null"
],
"description": "Observed span between the earliest and latest first posts."
},
"latestFirstPostAt": {
"type": [
"integer",
"null"
],
"description": "Latest first post."
},
"earliestFirstPostAt": {
"type": [
"integer",
"null"
],
"description": "Earliest first post."
}
},
"description": "First-post span the sample was measured over.",
"additionalProperties": false
},
"sampleAgeDays": {
"type": [
"number",
"null"
],
"description": "How old the frozen sample is at delivery, in days. Stated so the age does not have to be derived by subtracting two Unix times. A large value means the observation is historical, not current."
},
"schemaVersion": {
"type": "string",
"description": "Deliverable contract version."
},
"sampleInference": {
"type": "object",
"required": [
"scope",
"populationEstimateValid",
"reason",
"refreshState"
],
"properties": {
"scope": {
"type": "string",
"description": "SELECTED_SAMPLE_ONLY."
},
"reason": {
"type": "string",
"description": "SMALL_OUTCOME_SELECTED_SAMPLE."
},
"refreshState": {
"type": "string",
"description": "HISTORICAL | CURRENT_WITHIN_30_DAYS | UNKNOWN."
},
"populationEstimateValid": {
"type": "boolean",
"description": "Always false for this outcome-selected artifact."
}
},
"description": "Machine-readable boundary for the small, outcome-selected historical sample.",
"additionalProperties": false
},
"sampleSelection": {
"type": "object",
"required": [
"chain",
"group",
"ranking",
"pumpThresholdMultiple",
"minimumSwaps",
"searchKey",
"outcomeSelected"
],
"properties": {
"chain": {
"type": "string",
"description": "Chain sampled."
},
"group": {
"type": "string",
"description": "Eligible sample group."
},
"ranking": {
"type": "string",
"description": "Deterministic selection order."
},
"searchKey": {
"type": "string",
"description": "Exact social-search key type."
},
"minimumSwaps": {
"type": [
"integer",
"null"
],
"description": "Minimum swap observations for eligibility."
},
"outcomeSelected": {
"type": "boolean",
"description": "True: the sample was selected using later outcome."
},
"pumpThresholdMultiple": {
"type": [
"number",
"null"
],
"description": "Minimum peak multiple for the pumped group."
}
},
"description": "Outcome-selected sampling rule and search basis.",
"additionalProperties": false
},
"sampleObservedAt": {
"type": [
"integer",
"null"
],
"description": "Unix time when the frozen source artifact was written."
},
"medianLeadMinutes": {
"type": [
"number",
"null"
],
"description": "Negative means posts came after the move."
},
"sampleLeadMinutes": {
"type": "array",
"items": {
"type": "number"
},
"description": "Sorted per-token lead minutes used to recompute sampleSize, medianLeadMinutes, laggingPosts, laggingPct, and the distribution. Negative values mean the post lagged the price move."
},
"leadDistributionMinutes": {
"type": "object",
"required": [
"minimum",
"p25",
"median",
"p75",
"maximum",
"unit"
],
"properties": {
"p25": {
"type": [
"number",
"null"
],
"description": "Median of the lower half."
},
"p75": {
"type": [
"number",
"null"
],
"description": "Median of the upper half."
},
"unit": {
"type": "string",
"description": "minutes"
},
"median": {
"type": [
"number",
"null"
],
"description": "Statistical sample median."
},
"maximum": {
"type": [
"number",
"null"
],
"description": "Maximum observed lead."
},
"minimum": {
"type": [
"number",
"null"
],
"description": "Minimum observed lead."
}
},
"description": "Descriptive five-number summary of this selected sample; not a population confidence interval.",
"additionalProperties": false
}
},
"additionalProperties": true
}
}
}
}
},
"resource": "https://app.tenna.ai/api/x402/lumi/social_timing_check",
"discoverable": true
}
}Provenance
- Seen in the source catalog
- 2026-09-08 23:26Z
- Last indexed by Roundhouse
- 2026-09-24 09:20Z
- Last enriched (probe, favicon, geo)
- 2026-09-23 22:15Z
- 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. 30 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/social_timing_check, 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.