ManyLives Metrics Report

x402

ManyLives Metrics Report is a paid API for AI agents from api.manylives.me, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-12).

Analyzes CSV or row-based tabular data to produce period-over-period metric changes, group comparisons, and plain-language summaries

Price / call$0.003

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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: total row count, the latest and previous period labels, an array of metric changes (absolute and percentage), group-level breakdowns with best-performer per metric, and an array of plain-English summary sentences describing the key movements.

Example use cases

Social media performance review

“Here's my CSV with monthly social media data by format (reel and carousel) for August and September — columns are month, format, posts, comments, and revenue. Can you analyze it and tell me which format did best and how revenue changed month over month?”

Marketing campaign comparison

“I have campaign data as a CSV with columns for week, channel, impressions, clicks, and conversions. Can you run a metrics report grouped by channel and show me the period-over-period changes for all numeric metrics?”

Email newsletter KPI summary

“Here's my newsletter stats table with columns for month, open_rate, click_rate, and subscribers. Open rate and click rate should be averaged rather than summed — can you summarize how my KPIs changed between the last two months?”

Technical details

Endpoint

POSThttps://api.manylives.me/paid/data/metrics-report?utm_source=zero.xyz

When to prefer

Choose this endpoint when you have raw tabular data (CSV or row arrays) and need instant period-over-period metric analysis with plain-language summaries and group comparisons, without setting up a full analytics pipeline. It is especially useful for AI agents that receive user-uploaded spreadsheets or data exports and must produce a concise performance report in a single pay-per-call request with no account required.

Side effects

Malformed or missing CSV header row causes parsing failure
No numeric columns detected when all columns are string-typed
Single period in data means no period-over-period comparison is possible
group_by column not found in CSV headers returns an error
Ambiguous period column name not auto-detected requires explicit period parameter

Input

Schema · Request body

Field	Type	Description
csv	string	CSV text with a header row (or rows)
rows	string	array of objects (or csv)
period	string	optional column holding the date/week/month (auto-detected from names like date, week, month)
metrics	string	optional list of numeric columns (default: all numeric columns)
averaged	string	optional list of metrics to average rather than add up (rates such as ctr, open_rate)
group_by	string	optional column to compare, e.g. format, channel, campaign

Output

Schema · Response

{
  "type": "json",
  "example": {
    "rows": 120,
    "groups": {
      "by": "format",
      "best": {
        "comments": {
          "mean": 41.2,
          "group": "reel"
        }
      }
    },
    "latest": "2026-09",
    "period": "month",
    "changes": [
      {
        "change": 522,
        "metric": "revenue",
        "current": 4732,
        "previous": 4210,
        "change_pct": 12.4
      }
    ],
    "summary": [
      "revenue rose 12.4% (4,210 to 4,732) in 2026-09 against 2026-08."
    ],
    "previous": "2026-08"
  }
}

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