Batch sentiment classification for up to 50 texts in one call. Same heuristic as /v1/sentiment-analyze. Returns per-item result + aggregate impact_distribution + sentiment_distribution. Cheaper per-item than calling singular endpoint repeatedly (~$0.001/item at batch). Use cases: bulk-content-classification, news-feed analysis, social-media triage. Informational classification only — not investment advice.
| Network | Scheme | Amount | Pay To |
|---|---|---|---|
| Base | exact | $0.05 USDC | 0xf8b2...F2Ee |
| Polygon | exact | $0.05 USDC | 0xf8b2...F2Ee |
| Arbitrum One | exact | $0.05 USDC | 0xf8b2...F2Ee |
| eip155:480 | exact | 0.05 tokens | 0xf8b2...F2Ee |
| solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp | exact | 0.05 tokens | GgS891...pCiD |
| algorand:wGHE2Pwdvd7S12BL5FaOP20EGYesN73ktiC1qzkkit8= | exact | 0.05 tokens | 5GRGZV...GJGI |
| stellar:pubnet | exact | 0.50 tokens | GDYFWC...O2VP |