Batch-Price Economics.
Synchronous Speed.

Claude API for data annotation, synthetic data, and LLM-as-judge pipelines running millions of requests a month. $42 per $100 of official-equivalent tokens — cheaper than Anthropic's Batch API, without the 24-hour wait or the pipeline rebuild.

youragent's Official Direct channel serves high-throughput workloads at 42% of Anthropic list price with synchronous, real-time responses, dedicated concurrency provisioning, and a verifiable model ID in every response — so your labeling quality rests on the real frontier model, provably. Updated August 2026.

Get a Volume Quote Run Your Own Eval First

Three Ways to Run 10M+ Requests a Month

If your pipeline burns $50,000 of official-equivalent tokens a month, here is the actual decision you're making:

  Anthropic on-demand Anthropic Batch API youragent Official Direct
Price vs list 100% 50% 42%
Latency Real-time Async — results within 24 h Real-time
Pipeline changes None Rebuild around batch submit/poll None — same endpoint shape
Model verification Implicit Implicit Explicit — audit playbook provided
Monthly cost at $50k official $50,000 $25,000 $21,000

Prices per $100 of official-equivalent tokens, official 1:1 token rate. Same $42 price at any scale — no volume games, no negotiation theater. Anthropic Batch API figures per Anthropic's published pricing (50% discount, asynchronous processing).

The Monthly Math

By monthly official-equivalent spend on Claude Opus 5 / Fable 5, synchronous throughout:

Monthly official-equivalent You pay (42%) Saved vs on-demand Saved vs Batch API
$10,000$4,200$5,800$800
$50,000$21,000$29,000$4,000
$100,000$42,000$58,000$8,000

Failed requests are not billed. Unused balance is refundable. Dev/testing traffic can run on economy channels ($15 Hybrid / $6 Codex per $100) — see full pricing.

Concurrency Sized to Your Pipeline

The first question volume teams ask is "what's the rate limit?" The honest answer: it's provisioned, not fixed. Tell us your target RPM and concurrency, and we size dedicated key pools to it before you commit — then load-test it yourself during verification. Multi-pool load balancing with automatic failover holds a measured request failure rate below 0.05% (excluding upstream outages), over 2+ years of operation and $10M+ of delivered token credits.

Your deliverable quality depends on the real model. Prove it first.

Annotation and synthetic-data output is only as good as the model behind it — and this market is full of silently downgraded "Claude" endpoints. Every response we return carries the model field, which we never rewrite. Compare distributions against api.anthropic.com at temperature=0, run behavioral fingerprints, or point any third-party testing platform at us.

The 15-minute verification procedure →

Volume FAQ

How is this different from Anthropic's Batch API?

Batch gives you 50% off in exchange for asynchronous processing (results within 24 hours) and a batch-shaped pipeline. Our Official Direct channel is $42 per $100 official — cheaper than Batch — with synchronous, real-time responses and zero pipeline changes: it's the same Anthropic-compatible endpoint your code already calls.

What rate limits and concurrency do you support?

Volume workloads get dedicated key pools sized to your throughput. Tell us your target requests-per-minute and concurrency and we provision for it before you commit — then load-test it yourself during verification.

How do we verify it's the real model before committing?

Run your own eval: every response carries the model field, which we never rewrite. Compare against api.anthropic.com at temperature=0, or use any third-party model-testing platform. The verification guide documents the full 15-minute procedure. We expect you to test us.

How do payment and invoicing work for companies?

International bank transfer from our Hong Kong entity, invoices suitable for accounting, and refundable unused balance — in writing. No minimum commitment: start at whatever monthly volume you have and scale.

What happens when a request fails mid-pipeline?

Failed requests are not billed. Measured failure rate is below 0.05% (excluding upstream outages); channels fail over automatically across pools, so your pipeline's standard retry logic handles the remaining tail.

Send Us Your Throughput Numbers

Email your monthly official-equivalent spend, target RPM, and workload type (annotation / synthetic data / judge). You'll get a concrete provisioning plan and quote within one business day — and a verification procedure to run before you pay anything.