{ "x402Version": 2, "id": 26978, "slug": "26978", "resource": "https://app.tenna.ai/api/x402/lumi/social_timing_check", "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.", "type": "http", "serviceName": "LUMI", "resourceType": "AI Inference", "accepts": [ { "scheme": "exact", "network": "eip155:8453", "payTo": "0x7eaf3c393a8996e124c0fa7ccbc55019854c4c5b", "asset": "0x833589fcd6edb6e08f4c7c32d4f71b54bda02913", "amount": "10000", "amountUsd": 0.01, "maxTimeoutSeconds": 60 } ], "outputSchema": { "properties": { "example": { "additionalProperties": true, "properties": { "laggingPct": { "description": "Share of posts that lagged.", "type": [ "number", "null" ] }, "laggingPosts": { "description": "Posts that came after the move.", "type": [ "integer", "null" ] }, "leadDistributionMinutes": { "additionalProperties": false, "description": "Descriptive five-number summary of this selected sample; not a population confidence interval.", "properties": { "maximum": { "description": "Maximum observed lead.", "type": [ "number", "null" ] }, "median": { "description": "Statistical sample median.", "type": [ "number", "null" ] }, "minimum": { "description": "Minimum observed lead.", "type": [ "number", "null" ] }, "p25": { "description": "Median of the lower half.", "type": [ "number", "null" ] }, "p75": { "description": "Median of the upper half.", "type": [ "number", "null" ] }, "unit": { "description": "minutes", "type": "string" } }, "required": [ "minimum", "p25", "median", "p75", "maximum", "unit" ], "type": "object" }, "limitations": { "description": "Coverage limits and missing data, always disclosed.", "items": { "type": "string" }, "type": "array" }, "medianLeadMinutes": { "description": "Negative means posts came after the move.", "type": [ "number", "null" ] }, "offering": { "const": "social_timing_check", "description": "Offering that produced this result.", "type": "string" }, "provenance": { "description": "Reproducibility metadata so another agent can audit this.", "properties": { "auditedDeliverableHash": { "description": "Explicit alias for resultHash on deliverable-audit results; hashes the buyer-supplied input, not the audit envelope.", "type": [ "string", "null" ] }, "generatedAt": { "description": "Unix seconds.", "type": "integer" }, "ledgerLaunchCount": { "description": "Launches in the ledger. Null when the offering is not derived from the launch ledger — this means not applicable, not collection failure.", "type": [ "integer", "null" ] }, "ledgerSpanHours": { "description": "Hours of history covered. Null when the offering is not derived from the launch ledger.", "type": [ "number", "null" ] }, "resultHash": { "description": "Hash of the audited input, so the same verdict can be reproduced. Present on audit offerings.", "type": [ "string", "null" ] }, "rubricVersion": { "description": "Rubric the verdict was produced under. Present on audit offerings.", "type": [ "string", "null" ] }, "source": { "description": "Data origin.", "type": "string" } }, "type": "object" }, "sampleAgeDays": { "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.", "type": [ "number", "null" ] }, "sampleInference": { "additionalProperties": false, "description": "Machine-readable boundary for the small, outcome-selected historical sample.", "properties": { "populationEstimateValid": { "description": "Always false for this outcome-selected artifact.", "type": "boolean" }, "reason": { "description": "SMALL_OUTCOME_SELECTED_SAMPLE.", "type": "string" }, "refreshState": { "description": "HISTORICAL | CURRENT_WITHIN_30_DAYS | UNKNOWN.", "type": "string" }, "scope": { "description": "SELECTED_SAMPLE_ONLY.", "type": "string" } }, "required": [ "scope", "populationEstimateValid", "reason", "refreshState" ], "type": "object" }, "sampleLeadMinutes": { "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.", "items": { "type": "number" }, "type": "array" }, "sampleObservedAt": { "description": "Unix time when the frozen source artifact was written.", "type": [ "integer", "null" ] }, "sampleSelection": { "additionalProperties": false, "description": "Outcome-selected sampling rule and search basis.", "properties": { "chain": { "description": "Chain sampled.", "type": "string" }, "group": { "description": "Eligible sample group.", "type": "string" }, "minimumSwaps": { "description": "Minimum swap observations for eligibility.", "type": [ "integer", "null" ] }, "outcomeSelected": { "description": "True: the sample was selected using later outcome.", "type": "boolean" }, "pumpThresholdMultiple": { "description": "Minimum peak multiple for the pumped group.", "type": [ "number", "null" ] }, "ranking": { "description": "Deterministic selection order.", "type": "string" }, "searchKey": { "description": "Exact social-search key type.", "type": "string" } }, "required": [ "chain", "group", "ranking", "pumpThresholdMultiple", "minimumSwaps", "searchKey", "outcomeSelected" ], "type": "object" }, "sampleSize": { "description": "Tokens with a measured lead time.", "type": "integer" }, "sampleTokens": { "description": "Every token behind the aggregate, so the sample can be audited rather than trusted.", "items": { "type": "string" }, "type": "array" }, "sampleWindow": { "additionalProperties": false, "description": "First-post span the sample was measured over.", "properties": { "durationSeconds": { "description": "Observed span between the earliest and latest first posts.", "type": [ "integer", "null" ] }, "earliestFirstPostAt": { "description": "Earliest first post.", "type": [ "integer", "null" ] }, "latestFirstPostAt": { "description": "Latest first post.", "type": [ "integer", "null" ] } }, "required": [ "earliestFirstPostAt", "latestFirstPostAt", "durationSeconds" ], "type": "object" }, "schemaVersion": { "description": "Deliverable contract version.", "type": "string" }, "verdict": { "description": "SOCIAL_LAGS_PRICE | MIXED | NO_SAMPLE.", "type": "string" } }, "required": [ "schemaVersion", "offering", "provenance", "limitations", "sampleSize", "verdict", "sampleTokens", "sampleWindow", "sampleLeadMinutes", "leadDistributionMinutes", "sampleObservedAt", "sampleSelection", "sampleInference" ], "type": "object" }, "type": { "type": "string" } }, "required": [ "type" ], "type": "object" }, "extensions": { "bazaar": { "discoverable": true, "info": { "input": { "body": { "offering": "social_timing_check" }, "bodyType": "json", "method": "POST", "type": "http" }, "output": { "example": { "leadDistributionMinutes": { "maximum": null, "median": null, "minimum": null, "p25": null, "p75": null, "unit": "" }, "limitations": [ "" ], "offering": "social_timing_check", "provenance": { "auditedDeliverableHash": null, "generatedAt": 1, "ledgerLaunchCount": null, "ledgerSpanHours": null, "resultHash": null, "rubricVersion": null, "source": "" }, "sampleInference": { "populationEstimateValid": true, "reason": "", "refreshState": "", "scope": "" }, "sampleLeadMinutes": [ 1 ], "sampleObservedAt": null, "sampleSelection": { "chain": "", "group": "", "minimumSwaps": null, "outcomeSelected": true, "pumpThresholdMultiple": null, "ranking": "", "searchKey": "" }, "sampleSize": 1, "sampleTokens": [ "" ], "sampleWindow": { "durationSeconds": null, "earliestFirstPostAt": null, "latestFirstPostAt": null }, "schemaVersion": "", "verdict": "" }, "type": "json" } }, "resource": "https://app.tenna.ai/api/x402/lumi/social_timing_check", "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "input": { "additionalProperties": false, "properties": { "body": { "additionalProperties": false, "description": "Optional token to look up in the sample.", "properties": { "offering": { "const": "social_timing_check", "description": "Offering identifier. Must be exactly 'social_timing_check'.", "type": "string" }, "tokenAddress": { "description": "Optional 0x token address to check.", "type": "string" } }, "required": [ "offering" ], "type": "object" }, "bodyType": { "enum": [ "json" ], "type": "string" }, "method": { "enum": [ "POST" ], "type": "string" }, "type": { "const": "http", "type": "string" } }, "required": [ "type", "method", "bodyType", "body" ], "type": "object" }, "output": { "properties": { "example": { "additionalProperties": true, "properties": { "laggingPct": { "description": "Share of posts that lagged.", "type": [ "number", "null" ] }, "laggingPosts": { "description": "Posts that came after the move.", "type": [ "integer", "null" ] }, "leadDistributionMinutes": { "additionalProperties": false, "description": "Descriptive five-number summary of this selected sample; not a population confidence interval.", "properties": { "maximum": { "description": "Maximum observed lead.", "type": [ "number", "null" ] }, "median": { "description": "Statistical sample median.", "type": [ "number", "null" ] }, "minimum": { "description": "Minimum observed lead.", "type": [ "number", "null" ] }, "p25": { "description": "Median of the lower half.", "type": [ "number", "null" ] }, "p75": { "description": "Median of the upper half.", "type": [ "number", "null" ] }, "unit": { "description": "minutes", "type": "string" } }, "required": [ "minimum", "p25", "median", "p75", "maximum", "unit" ], "type": "object" }, "limitations": { "description": "Coverage limits and missing data, always disclosed.", "items": { "type": "string" }, "type": "array" }, "medianLeadMinutes": { "description": "Negative means posts came after the move.", "type": [ "number", "null" ] }, "offering": { "const": "social_timing_check", "description": "Offering that produced this result.", "type": "string" }, "provenance": { "description": "Reproducibility metadata so another agent can audit this.", "properties": { "auditedDeliverableHash": { "description": "Explicit alias for resultHash on deliverable-audit results; hashes the buyer-supplied input, not the audit envelope.", "type": [ "string", "null" ] }, "generatedAt": { "description": "Unix seconds.", "type": "integer" }, "ledgerLaunchCount": { "description": "Launches in the ledger. Null when the offering is not derived from the launch ledger — this means not applicable, not collection failure.", "type": [ "integer", "null" ] }, "ledgerSpanHours": { "description": "Hours of history covered. Null when the offering is not derived from the launch ledger.", "type": [ "number", "null" ] }, "resultHash": { "description": "Hash of the audited input, so the same verdict can be reproduced. Present on audit offerings.", "type": [ "string", "null" ] }, "rubricVersion": { "description": "Rubric the verdict was produced under. Present on audit offerings.", "type": [ "string", "null" ] }, "source": { "description": "Data origin.", "type": "string" } }, "type": "object" }, "sampleAgeDays": { "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.", "type": [ "number", "null" ] }, "sampleInference": { "additionalProperties": false, "description": "Machine-readable boundary for the small, outcome-selected historical sample.", "properties": { "populationEstimateValid": { "description": "Always false for this outcome-selected artifact.", "type": "boolean" }, "reason": { "description": "SMALL_OUTCOME_SELECTED_SAMPLE.", "type": "string" }, "refreshState": { "description": "HISTORICAL | CURRENT_WITHIN_30_DAYS | UNKNOWN.", "type": "string" }, "scope": { "description": "SELECTED_SAMPLE_ONLY.", "type": "string" } }, "required": [ "scope", "populationEstimateValid", "reason", "refreshState" ], "type": "object" }, "sampleLeadMinutes": { "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.", "items": { "type": "number" }, "type": "array" }, "sampleObservedAt": { "description": "Unix time when the frozen source artifact was written.", "type": [ "integer", "null" ] }, "sampleSelection": { "additionalProperties": false, "description": "Outcome-selected sampling rule and search basis.", "properties": { "chain": { "description": "Chain sampled.", "type": "string" }, "group": { "description": "Eligible sample group.", "type": "string" }, "minimumSwaps": { "description": "Minimum swap observations for eligibility.", "type": [ "integer", "null" ] }, "outcomeSelected": { "description": "True: the sample was selected using later outcome.", "type": "boolean" }, "pumpThresholdMultiple": { "description": "Minimum peak multiple for the pumped group.", "type": [ "number", "null" ] }, "ranking": { "description": "Deterministic selection order.", "type": "string" }, "searchKey": { "description": "Exact social-search key type.", "type": "string" } }, "required": [ "chain", "group", "ranking", "pumpThresholdMultiple", "minimumSwaps", "searchKey", "outcomeSelected" ], "type": "object" }, "sampleSize": { "description": "Tokens with a measured lead time.", "type": "integer" }, "sampleTokens": { "description": "Every token behind the aggregate, so the sample can be audited rather than trusted.", "items": { "type": "string" }, "type": "array" }, "sampleWindow": { "additionalProperties": false, "description": "First-post span the sample was measured over.", "properties": { "durationSeconds": { "description": "Observed span between the earliest and latest first posts.", "type": [ "integer", "null" ] }, "earliestFirstPostAt": { "description": "Earliest first post.", "type": [ "integer", "null" ] }, "latestFirstPostAt": { "description": "Latest first post.", "type": [ "integer", "null" ] } }, "required": [ "earliestFirstPostAt", "latestFirstPostAt", "durationSeconds" ], "type": "object" }, "schemaVersion": { "description": "Deliverable contract version.", "type": "string" }, "verdict": { "description": "SOCIAL_LAGS_PRICE | MIXED | NO_SAMPLE.", "type": "string" } }, "required": [ "schemaVersion", "offering", "provenance", "limitations", "sampleSize", "verdict", "sampleTokens", "sampleWindow", "sampleLeadMinutes", "leadDistributionMinutes", "sampleObservedAt", "sampleSelection", "sampleInference" ], "type": "object" }, "type": { "type": "string" } }, "required": [ "type" ], "type": "object" } }, "required": [ "input" ], "type": "object" } } }, "tags": [ "social", "timing", "price", "evidence", "bazaar" ], "sourceHost": "app.tenna.ai", "lastUpdated": "2026-10-08T12:34:48.094Z", "quality": { "calls30d": 5, "uniquePayers30d": 4, "lastCalledAt": "2026-10-08T12:34:47.35Z" }, "metadata": { "serviceName": "LUMI", "extensions": { "bazaar": { "discoverable": true, "info": { "input": { "body": { "offering": "social_timing_check" }, "bodyType": "json", "method": "POST", "type": "http" }, "output": { "example": { "leadDistributionMinutes": { "maximum": null, "median": null, "minimum": null, "p25": null, "p75": null, "unit": "" }, "limitations": [ "" ], "offering": "social_timing_check", "provenance": { "auditedDeliverableHash": null, "generatedAt": 1, "ledgerLaunchCount": null, "ledgerSpanHours": null, "resultHash": null, "rubricVersion": null, "source": "" }, "sampleInference": { "populationEstimateValid": true, "reason": "", "refreshState": "", "scope": "" }, "sampleLeadMinutes": [ 1 ], "sampleObservedAt": null, "sampleSelection": { "chain": "", "group": "", "minimumSwaps": null, "outcomeSelected": true, "pumpThresholdMultiple": null, "ranking": "", "searchKey": "" }, "sampleSize": 1, "sampleTokens": [ "" ], "sampleWindow": { "durationSeconds": null, "earliestFirstPostAt": null, "latestFirstPostAt": null }, "schemaVersion": "", "verdict": "" }, "type": "json" } }, "resource": "https://app.tenna.ai/api/x402/lumi/social_timing_check", "schema": { "$schema": "https://json-schema.org/draft/2020-12/schema", "properties": { "input": { "additionalProperties": false, "properties": { "body": { "additionalProperties": false, "description": "Optional token to look up in the sample.", "properties": { "offering": { "const": "social_timing_check", "description": "Offering identifier. Must be exactly 'social_timing_check'.", "type": "string" }, "tokenAddress": { "description": "Optional 0x token address to check.", "type": "string" } }, "required": [ "offering" ], "type": "object" }, "bodyType": { "enum": [ "json" ], "type": "string" }, "method": { "enum": [ "POST" ], "type": "string" }, "type": { "const": "http", "type": "string" } }, "required": [ "type", "method", "bodyType", "body" ], "type": "object" }, "output": { "properties": { "example": { "additionalProperties": true, "properties": { "laggingPct": { "description": "Share of posts that lagged.", "type": [ "number", "null" ] }, "laggingPosts": { "description": "Posts that came after the move.", "type": [ "integer", "null" ] }, "leadDistributionMinutes": { "additionalProperties": false, "description": "Descriptive five-number summary of this selected sample; not a population confidence interval.", "properties": { "maximum": { "description": "Maximum observed lead.", "type": [ "number", "null" ] }, "median": { "description": "Statistical sample median.", "type": [ "number", "null" ] }, "minimum": { "description": "Minimum observed lead.", "type": [ "number", "null" ] }, "p25": { "description": "Median of the lower half.", "type": [ "number", "null" ] }, "p75": { "description": "Median of the upper half.", "type": [ "number", "null" ] }, "unit": { "description": "minutes", "type": "string" } }, "required": [ "minimum", "p25", "median", "p75", "maximum", "unit" ], "type": "object" }, "limitations": { "description": "Coverage limits and missing data, always disclosed.", "items": { "type": "string" }, "type": "array" }, "medianLeadMinutes": { "description": "Negative means posts came after the move.", "type": [ "number", "null" ] }, "offering": { "const": "social_timing_check", "description": "Offering that produced this result.", "type": "string" }, "provenance": { "description": "Reproducibility metadata so another agent can audit this.", "properties": { "auditedDeliverableHash": { "description": "Explicit alias for resultHash on deliverable-audit results; hashes the buyer-supplied input, not the audit envelope.", "type": [ "string", "null" ] }, "generatedAt": { "description": "Unix seconds.", "type": "integer" }, "ledgerLaunchCount": { "description": "Launches in the ledger. Null when the offering is not derived from the launch ledger — this means not applicable, not collection failure.", "type": [ "integer", "null" ] }, "ledgerSpanHours": { "description": "Hours of history covered. Null when the offering is not derived from the launch ledger.", "type": [ "number", "null" ] }, "resultHash": { "description": "Hash of the audited input, so the same verdict can be reproduced. Present on audit offerings.", "type": [ "string", "null" ] }, "rubricVersion": { "description": "Rubric the verdict was produced under. Present on audit offerings.", "type": [ "string", "null" ] }, "source": { "description": "Data origin.", "type": "string" } }, "type": "object" }, "sampleAgeDays": { "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.", "type": [ "number", "null" ] }, "sampleInference": { "additionalProperties": false, "description": "Machine-readable boundary for the small, outcome-selected historical sample.", "properties": { "populationEstimateValid": { "description": "Always false for this outcome-selected artifact.", "type": "boolean" }, "reason": { "description": "SMALL_OUTCOME_SELECTED_SAMPLE.", "type": "string" }, "refreshState": { "description": "HISTORICAL | CURRENT_WITHIN_30_DAYS | UNKNOWN.", "type": "string" }, "scope": { "description": "SELECTED_SAMPLE_ONLY.", "type": "string" } }, "required": [ "scope", "populationEstimateValid", "reason", "refreshState" ], "type": "object" }, "sampleLeadMinutes": { "description": "Sorted per-token lead minutes used to recompute sampleSize, medianLeadMinutes, laggingPosts, laggingPct, and the distribution. 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