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LUMI Social Evidence Quality Audit
x402
LUMI Social Evidence Quality Audit is a paid API for AI agents from app.tenna.ai, paid per call via x402, $0.03/call, status unknown (last checked 2026-09-14).
Runs a seven-day quality audit of already-cached social evidence for a configured asset, returning citation counts, source diversity, fallback rate, official-source hits, freshness scores, and confidence diagnostics — no live API calls made.
Price / call$0.03
Success—
StatusUnknown
How this service works
Social Evidence Quality. Seven-day quality audit of already-collected social evidence: citations, source diversity, fallback rate, official-source hits, freshness, and confidence diagnostics. Delivery reads the existing cache only and makes no additional Grok or X API request. Evidence-quality disclosure, not sentiment alpha, not a trading signal, and not a market recommendation.
Output
Returns a structured quality report covering: citation count from the seven-day cached window, source diversity metrics, fallback rate (how often the system fell back to lower-quality sources), official-source hit count, freshness scores for the cached evidence, and confidence diagnostic breakdowns — all read from the existing cache without triggering new Grok or X API calls.
Example use cases
Pre-investment social evidence check
“Before I look further into this token, can you pull the LUMI social evidence quality audit for TENNA — I want to know how diverse the sources are, what the fallback rate looks like, and whether the official-source hit count is decent over the last seven days?”
Data reliability check for research pipeline
“I'm building a research report on TENNA — can you get the social evidence quality audit from LUMI so I can see how fresh and reliable the cached citations are, including the confidence diagnostics for the seven-day window?”
Flagging low-quality evidence before agent decision
“Before my agent acts on any social signals for TENNA, I need you to run the LUMI social_evidence_quality audit and tell me if the fallback rate or source diversity looks problematic in the seven-day cache.”
Technical details
Endpoint
POSThttps://app.tenna.ai/api/x402/lumi/social_evidence_qualityWhen to prefer
Choose this endpoint when you need to evaluate the trustworthiness and quality of already-collected social evidence for a configured asset, rather than fetching new sentiment or signals. It is ideal for pre-decision validation steps in an agent pipeline where you want to know if the underlying social data cache is reliable enough to act on. Prefer it over sentiment endpoints when your concern is data quality, source diversity, and evidence freshness rather than the directional content of the social signals themselves.
Side effects
- Asset symbol not configured or unrecognized — returns error indicating the symbol is not supported
- Cache is empty or has not been populated for the requested asset — returns empty or null quality metrics
- Offering identifier does not match 'social_evidence_quality' exactly — returns validation error
- windowDays value other than 7 provided — rejected by enum validation
- Payment not fulfilled via x402 protocol — request blocked before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| asset | string | Configured social asset symbol. |
| offering | string | Offering identifier. Must be exactly 'social_evidence_quality'. |
| windowDays | integer | Only the cached seven-day window. |
Tags
x402
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