# LUMI Social Evidence Quality Audit

> 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.

## Facts

- Endpoint: POST https://app.tenna.ai/api/x402/lumi/social_evidence_quality
- Price: $0.03/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/lumi-social-evidence-quality-audit-d6483369
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_Z6oKf2IoXGXZRLB_kC1LT

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability lumi-social-evidence-quality-audit-d6483369 -d '<json body>'
```

Example prompt: Can you run the LUMI social evidence quality audit for TENNA — I want to see the citation counts, source diversity, fallback rate, and confidence diagnostics for the seven-day cached window?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "asset": {
   "type": "string",
   "pattern": "^[A-Za-z0-9_-]{2,20}$",
   "examples": [
    "TENNA"
   ],
   "description": "Configured social asset symbol."
  },
  "offering": {
   "type": "string",
   "const": "social_evidence_quality",
   "description": "Offering identifier. Must be exactly 'social_evidence_quality'."
  },
  "windowDays": {
   "enum": [
    7
   ],
   "type": "integer",
   "description": "Only the cached seven-day window."
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/lumi-social-evidence-quality-audit-d6483369/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from app.tenna.ai](https://www.zero.xyz/host/app.tenna.ai/llms.txt)