Create an eval dataset with inline rows
Create a new eval dataset (a golden set of input/expected-output pairs the LLM judge scores the agent against) with its rows inlined in one call — 1 to 1000 rows per dataset. Use it to seed a regression set before kicking off eval runs; promote-from-conversation (the sibling route below) is the live-traffic capture alternative. Requires the agents:write scope (owner, admin, or developer role).
Authorizations
Dashboard JWT token from Clerk
Headers
Stripe-style idempotency token. Pass a stable, client-generated value (1-255 chars) to dedupe retries on transient timeouts. The same key+credential+path replays the original response for 24h on 2xx (5min on 4xx, 30s on 5xx). Returns 409 if a concurrent request with the same key is already in flight; replayed responses include the Idempotency-Replay: true response header.
1 - 255Sandbox opt-in for Clerk-session-authenticated requests. Set to true to route the call through the test-mode pipeline: no real provider delivery, no credits deducted, response meta.test_mode: true. Ignored for live API keys (dv_live_sk_*) — server-to-server clients must use a test-prefixed key (dv_test_sk_*) to exercise sandbox. Test-prefixed keys unconditionally enable sandbox regardless of this header.
true, false Path Parameters
Response
Successful response.