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ManyLives Ads Audit
x402
ManyLives Ads Audit is a paid API for AI agents from api.manylives.me, paid per call via x402, $0.004/call, status unknown (last checked 2026-10-13).
Analyzes advertising campaign CSV data to detect creative fatigue, performance degradation, and cost-per-result trends across comparison windows
Price / call$0.004
Success—
StatusUnknown
How this service works
Pay-per-call tools for people building AI agents: live web search and page contents, point-in-time crypto market data and news for backtests (no lookahead), verifiable track records of 1,000 crypto strategies locked on the Base network, company profiles, quick AI and batch prices. Ask us to turn a public website into a JSON endpoint. Pay per call, no account, free trial.
Output
Returns a JSON object with: an array of flags (each with ad name, flag type like 'creative fatigue', and a detail explaining the metric change), a window object showing the date ranges compared, a summary array with plain-English spend and cost-per-result statements, and a count of ad entities analyzed.
Example use cases
Weekly ad fatigue check for e-commerce
“I have two weeks of Facebook ad data as a CSV with spend, impressions, clicks, results, and frequency. Can you audit it and tell me which ads are showing creative fatigue and what my cost per result looks like compared to last week?”
Pre-budget-review campaign diagnosis
“Before our monthly budget meeting, audit this ad campaign CSV for me — I want to know if any of our ads have declining click rates paired with rising frequency, and give me a summary of spend and cost per result for the latest 7-day window.”
Automated creative rotation trigger
“Check this ad performance CSV and flag any creatives where the click rate has dropped significantly while frequency went up — I want to know which ones to pause and rotate out, and what the cost per result trend looks like.”
Technical details
Endpoint
POSThttps://api.manylives.me/paid/ads/audit?utm_source=zero.xyzWhen to prefer
Use this endpoint when you have tabular ad campaign data (CSV or row objects) and want automated detection of creative fatigue signals and cost-per-result trend analysis, without needing a full analytics platform. Ideal for lightweight per-call audits in agent workflows where you want actionable flags rather than raw metrics.
Side effects
- Malformed or missing CSV header row causes parsing failure
- Missing required columns (spend, impressions, clicks, results) returns error
- Insufficient data rows to form a comparison window returns no flags
- Invalid window_days value may cause computation errors
- Empty or whitespace-only CSV input returns error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| csv | string | CSV text with a header row |
| rows | string | array of {date, ad, spend, impressions, clicks, results, frequency?, audience?} (or csv) |
| currency | string | optional symbol for the summary (default $) |
| window_days | string | optional days per comparison window (default 7) |
Output
Schema · Response
{
"type": "json",
"example": {
"flags": [
{
"ad": "Spring promo video",
"flag": "creative fatigue",
"detail": "click rate fell 31% (1.9% to 1.3%) while frequency rose from 2.1 to 3.4"
}
],
"window": {
"latest": "2026-10-06 to 2026-10-12",
"previous": "2026-09-29 to 2026-10-05"
},
"summary": [
"Spend $1,240 in the latest 7 days, cost per result $18.20 (was $14.90)."
],
"entities": 6
}
}Tags
x402
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