API Request Builder

Code

Describe an endpoint and auth — get copy-pasteable cURL, fetch, axios, or Python requests with headers, body scaffolding, and gotcha notes.

From napkin spec to runnable-ish snippet

Integration velocity without secret sprawl.

Describe what you want to call — the builder picks sensible verbs, headers, and body skeletons for your dialect (cURL, fetch, axios, Python requests, Go net/http sketch). Auth models map to real header patterns with TOKEN_HERE placeholders so secrets never appear in generated output. Common headers (Idempotency-Key, User-Agent, Accept) appear when relevant, and a short "sharp edges" section calls out 429 handling, retries, pagination, and idempotency before they become production incidents.

How to brief a snippet that works on first paste

Six small inputs that prevent six hours of debugging.

1. Describe the API goal in one concrete sentence — "POST a JSON invoice to Acme billing sandbox" beats "call the billing API."
2. Paste the base URL when you have it; the model labels paths as hypothetical when you don't.
3. Pick the auth model honestly — bearer vs API-key-header vs basic vs OAuth client credentials each maps to different header shape.
4. Choose snippet language based on where it will live — cURL for docs, fetch for browser, Python for scripts.
5. Set body shape to match what the endpoint actually accepts; multipart and JSON have different ergonomics.
6. Add safety notes for any secret-handling, PII redaction, or rate-limit concerns before you forget.

Ship faster with fewer 401 mysteries

Common HTTP foot-guns called out inline.

Auth maps

Bearer, basic, API keys

Correct header names and placeholder discipline — never embeds secret material in the snippet.

Body scaffolds

JSON & multipart

Key names to fill in for your endpoint shape, not fake business data that looks plausible.

Sharp edges

429, retries, idempotency

Integration foot-guns called out inline so they don't become Friday-afternoon production incidents.

Multi-language

Primary + cURL fallback

Always emits cURL alongside your chosen language so docs and Slack work without re-running the tool.

Best for

Integration work where speed matters and security can't slip.

• Quick prototyping against a partner API before committing to a full SDK integration
• Drafting cURL examples for internal API documentation and runbooks
• Onboarding new engineers with copy-pasteable starter snippets per language
• Translating one snippet across cURL, fetch, and Python for different team contexts
• Sketching OAuth flows when you need the structure but not yet the real client IDs
• Writing CI smoke tests against newly deployed endpoints
• Drafting API client wrapper functions in projects where SDKs don't exist yet

Why placeholder discipline matters

Real keys in generated snippets is how breaches start.

Generic AI tools cheerfully embed real-looking tokens in their output, which gets pasted into Slack, GitHub gists, and screen-shared demos within hours. This template uses TOKEN_HERE / API_KEY_HERE placeholders explicitly so you cannot accidentally exfiltrate a credential. Auth model selection drives the right header shape (Authorization: Bearer, X-API-Key, etc.) without putting your secret in the example. The result is a snippet that is safe to share in docs and that forces engineers to wire env vars properly before running.

Pro tips for production-ready snippets

Habits that compound across services.

1. Always wire secrets through env vars or a secret manager — never paste real tokens into generated examples.
2. Set explicit timeouts in your HTTP client; the snippets are starter shape, not full production hardening.
3. When the endpoint paginates, request the pagination pattern in your goal — "include cursor-based pagination loop."
4. For idempotent retries, ask for an Idempotency-Key header pattern by name — many APIs require it.
5. Add an X-Request-ID or trace header in production snippets for downstream debugging.
6. Pair with the AI Document Reviewer to spot-check API documentation for unclear auth requirements before integrating.

API Builder FAQ

Will the snippets run verbatim against my API?

They are templates — swap hosts, paths, and secrets; add your HTTP client's timeouts and error handling. The shape is correct; the literals are placeholders.

Will it embed real API keys?

No — the system prompt forbids embedding real secrets. You always see TOKEN_HERE-style placeholders, even if you accidentally paste a key into your goal description.

Can it handle OAuth flows?

It outlines OAuth client-credentials flow with the token-exchange skeleton. Authorization-code flow has too many UX-specific decisions to template — start there and adapt.

Does it know my specific API's quirks?

Only what you describe in the goal field. For well-known APIs (GitHub, Stripe, Snowflake), include the API name and the model will lean on common patterns.

Will it warn about rate limits and retries?

Yes — the sharp-edges block calls out 429 handling, exponential backoff, and idempotency considerations relevant to the auth model and body shape you chose.

Which models power it?

Default reasoning-capable text models. Switch to deeper models for complex multi-call workflows or when you need accurate header semantics for less-common APIs.

How do I get the snippet in a language not in the dropdown?

Pick the closest language and add a translation request in your goal field — "translate to Ruby Net::HTTP" or "Java HttpClient." Quality varies by language familiarity.

Integrate, do not improvise

Structure beats StackOverflow roulette.

Generate the snippet, paste into your repo, wire env vars to a real secret store, add tests, and commit. The shape is right by default; the literals you fill in are the parts you actually want to own.