Coding & Building
Keep coding agents grounded in live documentation
Ground coding agents in live docs, changelogs, and dev forums. One API call replaces a brittle in-house web search stack for builders.
Node.js 24 Released: New permission model
nodejs.org
TypeScript 6.0 Beta: Stricter inference
devblogs.microsoft.com
Postgres 18: Async I/O added
postgresql.org
Use Cases
Ground every builder & coding agent with the live web
Search, review, generate, and ship against the live web
Live code & library search
Replace brittle in-house web search with one call. Get ranked, current sources for any library, framework, or error, from official docs to the GitHub issue or Stack Overflow thread where the fix actually lives.
Code review grounded in live docs
Check changes against current library references, deprecated APIs, and standards, not the model's stale memory, with clean extracted text the model can quote word-for-word.
Generate apps on current libraries
App builders scaffold against live library references, APIs, and version changes, so the apps your users generate run on what's current, not on deprecated methods the model learned in training.
Add research & monitoring to your app builder
Let every app built on your platform search, research, and monitor the web out of the box, through one integration instead of a retrieval stack each of your users has to wire up themselves.
Customer Story
Macroscope cut false-positive review comments by 55%
Macroscope's code-review AI uses the Task API to verify code against current documentation, making feedback developers actually trust.
“By grounding reviews in authoritative, up-to-date sources, Macroscope reduces false positives during code review. Developers can trust the feedback, knowing it’s based on the latest and greatest documentation.”
“By grounding reviews in authoritative, up-to-date sources, Macroscope reduces false positives during code review. Developers can trust the feedback, knowing it’s based on the latest and greatest documentation.”
Customer Story
Amp replaced its in-house web search with Parallel
Instead of maintaining a web-search stack of its own, Amp, the coding agent from Sourcegraph, now retrieves through Parallel’s Search API.
“Parallel’s team was incredibly helpful as we designed how Amp would use their APIs. They get it, and they care.”
“Parallel’s team was incredibly helpful as we designed how Amp would use their APIs. They get it, and they care.”
Trust
Built for enterprise, secure by design
Every Parallel output includes the Basis framework, unique to Parallel: calibrated confidence scores, citations, source excerpts, and reasoning traces.
- SOC 2 Type 2
- Zero data retention Available
- HIPAA-ready offering
- GDPR Compliance
- Single sign-on (SSO/SAML)
SOC 2 Type 2
Zero data retention Available
HIPAA-ready offering
GDPR Compliance
Single sign-on (SSO/SAML)
Pay for answers, not tokens
Every Parallel API flexes to fit your needs. Dial speed, depth, and cost to what each workflow is worth, set a budget cap, and hold to it. Per-request pricing means you pay for answers, not tokens, so there’s no incentive to burn context and no surprise bill at the end of the month.
Start building for free
Get started with our APIs in seconds. Run up to 5,000 requests per month for free.
Agent onboarding prompt:
Use curl to read parallel.ai/agents.md and perform the setup to install Parallel
Available everywhere you build
- Google Cloud
- OpenRouter
- Vercel
- LangChain
- Supabase
- Google Sheets
- Snowflake
- Gemini
- Hermes Agent
- OpenClaw
- n8n
- MPP
Start building for free
Get started with our APIs in seconds. Run up to 5,000 requests per month for free.
Use curl to read parallel.ai/agents.md and perform the setup to install Parallel
Available everywhere you build
FAQs
How does Parallel keep coding agents up to date on library changes?
Models train on a snapshot; software ships every day. Parallel resolves live docs and current library versions — including next, react, tailwind, drizzle, and zod — so your agent reads what's true now instead of stale training data.
Can I use Parallel instead of building my own web search stack?
Yes. Amp, the coding agent from Sourcegraph, replaced its in-house web search with Parallel's Search API — one call instead of maintaining a brittle crawl-and-index pipeline. See the Amp case study.
Does Parallel support code review grounded in current documentation?
Yes. The Task API checks proposed changes against current library references and deprecated APIs — the same pattern Macroscope uses to cut false-positive review comments by grounding feedback in authoritative, up-to-date sources.
What's the latency for a Parallel search call in an agent pipeline?
Search is built for request-path use in agent loops. Pick a Search mode — turbo (~200ms), basic (~1s), or advanced — to trade speed for depth. Extract complements it when you need full-page content (typically 1–3s from cache). See parallel.ai/pricing for current per-request pricing and fit by workload.
FAQs
Models train on a snapshot; software ships every day. Parallel resolves live docs and current library versions — including next, react, tailwind, drizzle, and zod — so your agent reads what's true now instead of stale training data.
Yes. Amp, the coding agent from Sourcegraph, replaced its in-house web search with Parallel's Search API — one call instead of maintaining a brittle crawl-and-index pipeline. See the Amp case study.
Yes. The Task API checks proposed changes against current library references and deprecated APIs — the same pattern Macroscope uses to cut false-positive review comments by grounding feedback in authoritative, up-to-date sources.
Search is built for request-path use in agent loops. Pick a Search mode — turbo (~200ms), basic (~1s), or advanced — to trade speed for depth. Extract complements it when you need full-page content (typically 1–3s from cache). See parallel.ai/pricing for current per-request pricing and fit by workload.