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Claude Haiku batch API for CSV jobs
Model catalogs stop at benchmarks. BatchHaiku is the CSV → Haiku → CSV path: templates, metering, export, and a REST API on Claude Haiku 5.5 via Cloudflare AI.
What you can run
Classify
Reviews, tickets, leads — frozen taxonomy, one label per row.
Extract
Dates, amounts, names, intents → compact JSON or CSV columns.
Filter
RAG chunk keep/drop before embed — shared system prompt caches well.
Label
Build training / QA sets without standing up a DIY pipeline.
Limits & metering
- UI auto-splits large CSVs; each upstream call is capped at 50 rows for latency.
- ~1 credit per short labeled row — see credit packs.
- Live model: Claude Haiku 5.5 (falls back to Haiku 4.5 if routing fails).
- Anthropic list rates for budgeting: Claude Haiku pricing.
REST example
Authenticated batch endpoint (see API docs). Shape is illustrative:
curl -X POST https://batchhaiku.dev/api/v1/batch/ \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"templateId": "review_sentiment",
"rows": ["Love this app", "Crashes on launch"]
}'Cost tips for Haiku 5.5
- Short system prompts; strip unused CSV columns.
- Validate 20–50 gold rows before full dump.
- Leave room in max_tokens when adaptive thinking is on.
- Prefer Haiku over Sonnet for pure tagging — Haiku vs Sonnet.
BatchHaiku is an independent third-party tool, NOT affiliated with or endorsed by Anthropic. Live inference runs Claude Haiku 5.5 via Cloudflare AI under your account usage terms.
Related guides
- Claude Haiku pricing (4.5 & 5.5)
List rates, long-context tiers, and cost per 1k CSV rows.
- Claude Haiku 5.5 benchmarks
AA Index, Terminal-Bench, SWE — with sources cited.
- Haiku vs Sonnet for batch
When Haiku is enough and when Sonnet is worth the spend.
- Haiku 5.5 vs GPT-6 Luna
Same short-tier price — different long-context thresholds & scores.
- Live model comparison tool
Switch Haiku, Luna, Sonnet, Opus side by side on the homepage.