get_buybacks
shallowcom.tipranks/tipranks · Verify this server
Returns share-buyback / stock-repurchase activity in one of two modes: - CROSS-MARKET (no ticker): latest reported buybacks across all companies, sorted by dollar amount spent (largest first). Use for 'biggest buybacks', 'top repurchase companies'. A single company may appear multiple times for different fiscal quarters. - PER-TICKER (ticker provided): historical quarterly buyback series for one ticker. Use for 'AAPL buyback history', 'MSFT repurchase trend'. Args: ticker: Optional. If provided, returns the per-ticker historical series. If empty, returns the cross-market list. limit: Cross-market mode only — max rows (default: 25, max: 100). page: Cross-market mode only — page number, 1-based (default: 1). Returns: Cross-market mode: { totalCount, data: [{ ticker, companyName, fiscalPeriodEndDate, stockEarningsDate, eps, marketCapUSD, totalValueSpentToRepurchaseShares, epsCurrencyTypeCode }] }. Per-ticker mode: quarterly time series, chart-ready as a bar or line plot of buyback spend over time — [{ date, marketCapEndFiscalPeriod, totalValueSpentToRepurchaseShares, ratio (decimal — buyback / market cap) }, ...].
1 trials · measured 8 days ago
get_buybacks scores 100.0/100 on Vouch's measured behaviour index, from 1 real invocation trials against com.tipranks/tipranks, measured 25 Aug 2026 under methodology v0.2.0. Every measured component scored 100.
Component breakdown
| Component | Weight | Value |
|---|---|---|
| Reliability | 35% | not applicable |
| Schema integrity | 25% | 100.0 |
| Failure behaviour | 15% | not applicable |
| Latency | 15% | not applicable |
| Concurrency | 10% | not applicable |
Tool details
- Transport
- remote
- Credential class
- gated
- Input schema
- not declared
- Output schema
- not declared
- Side-effect classification
- unclassified
Score history
| Day | Score | Tier | Methodology |
|---|---|---|---|
| 2026-08-25 | 100.0 | shallow | v0.2.0 |
Probe evidence
| Probe | Outcomes |
|---|---|
| schema_integrity | pass: 1 |
Raw request/response logs are not archived yet — the outcome counts above are drawn directly from every recorded trial.
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