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Fireworks AI logo

Fireworks AI

LLM APIs

Inference platform and model API for serving open and proprietary generative AI models with serverless endpoints and fine-tuning workflows.

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Related tools

Explore products with related capabilities. Check their details for your use case.

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Together AI logo
Together AI

LLM APIs· together.ai

Commercial

Model API and AI cloud for inference, fine-tuning, and deploying open-source and frontier models through developer-facing endpoints.

API available
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OverviewProduct evaluationBuild examplesResourcesCompany evidence

Product evaluation

Review Fireworks AI for your team’s requirements before a technical pilot.

Commercial model

Commercial

View vendor website

Listed pricing category. Confirm current rates, limits and enterprise contract terms with the vendor.

Implementation

API listed

Documentation

Validate integration, deployment and operational requirements in your own environment.

Enterprise review

Security, data handling, support and contract terms require vendor confirmation. Linked sources do not establish certification or approval.

Public implementation evidence

Built with Fireworks AI

Projects that list this product. Use is self-reported.

Judging lockedEvent-linked buildSource: https://luma.com/swarmhackSubmissions are locked for judging after the event close.
NA
Nithin Aruswamy4 months ago
Popper

**Project description** Popper is an adversarial verification gate for pull requests. We built it after AI coding agents began producing fixes faster than we could confidently review them. A green test was not always proof—it sometimes passed before the fix too. Popper extracts the behavioral claim behind a pull request, generates tests designed to break that claim, and executes each test against both versions of the code: **Fail before + Pass after = Evidence of a fix** Fireworks extracts the claim and generates adversarial tests. Daytona runs them safely in isolated sandboxes. CodeRabbit provides an independent static review, which Popper compares with the executed evidence while keeping opinion and proof clearly separated. Braintrust traces the pipeline, and CopilotKit lets reviewers ask questions about the results. Popper flags tests that pass on both versions as inconclusive and treats sandbox failures as missing evidence—not failed code. It then presents the claim, test results, disagreements, and a recommendation. A human always makes the final merge decision. We built Popper with Next.js and TypeScript, plus a replay system that can instantly load a previously verified run if a live service becomes unavailable.

Listed tools (8)

Scroll for more
  • DaytonaSecure sandbox infrastructure for running AI-generated code and agent workloads with isolated, stateful environments, fast startup, and SDK control over files, git, and processes.
  • BraintrustAI observability and evals platform for tracing production systems, running experiments, and catching regressions.
  • CopilotKitFrontend stack for embedding agents, generative UI, and AG-UI workflows in applications.
  • OpenAI Agents SDKOpen-source Python SDK for building, running, tracing, and handoff-driven AI agents with OpenAI models and tools.
  • Fireworks AIInference platform and model API for serving open and proprietary generative AI models with serverless endpoints and fine-tuning workflows.
  • OpenAI Codex CLILightweight coding agent that runs in the terminal and helps builders inspect, edit, test, and ship code from a local workspace.
0 0 0Open
Company evaluation and adoption evidence

Enterprise fit

Buyer brief for procurement and architecture review

Source-labeled signals for cost, reliability, security, integration, and adoption proof. Missing compliance evidence is shown as a gap, not guessed.

Compare for enterpriseExport brief
Inferred

Commercial model

Commercial profile signal; exact enterprise terms need buyer review.

View source
Needs verification

Reliability

No status page, uptime, or SLA evidence attached

Buyer recommendation

Shortlist only after verifying Reliability and Security/compliance.

API signal supports workflow automation.Docs are linked for implementation review.Managed product path can reduce implementation effort.At least one buyer evidence source is linked or verified.

Real data backfill while adoption proof grows

These are source-linked enrichment paths for missing fields. They are treated as proxies until claimed-company data and first-party tokens& adoption events replace them.

Wikidata company graphfreeParent company, acquisition, and ownership hints to avoid misleading same-owner comparisons.

AgentRank trust profile

Public proof buyers and agents can trust

AgentRank

21

Public signals · verified cohort private

Trust Score

33

observed

Category Rank

#20

LLM APIs · public signals

Protocols

API

Agent-readable metadata

Tracked Developers

1

Known active developer activity

Profile Status

Unclaimed

Owner action needed

Trust Registry

AgentRank evidence file
observed

Source breakdown

Public sources are pending.

Protocol support

API

Agent-readable protocol evidence raises trust and commercial readiness.

Benchmark proof

Automated measurements unavailable

Automated performance measurements are unavailable until a separately verified empirical evaluator is configured. Community reports do not unlock this component.

Adoption over time
Last 8 weeksCohort private until N≥7 · trust 33

Timeline appears after verified events.

We do not draw a fake adoption chart before live usage, self-reported proof, or challenge activity exists for this product.

Private (N<7)

active developers

Private (N<7)

verified adoptions

Private (N<7)

retention

Growth and Enterprise capabilities

Developer identities, account mapping, retention cohorts, and competitor overlap are available on Growth and Enterprise plans.

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Developer identities
See the builders behind saves, docs clicks, API calls, and retained usage.
Account map
Resolve developer activity into companies, teams, and enterprise accounts.
Retention cohorts
Track first API call through 7/30/90-day retention and expansion.
Competitor overlap
Find developers evaluating alternatives and switching between tools.
Category benchmark
Compare activation, retention, and growth against your market.
Resources
Official websitewebsite

Fireworks AI platform homepage.

DocumentationDocs

Fireworks AI developer documentation.

Chat completions API referenceofficial

Official API reference for chat completions.

Company details

Sign in to follow this company, vote for its product, or save it to your workspace.

Community support for Fireworks AI. Votes do not verify product usage.

Pricing
Commercial
Open source
No
API available
Yes
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LLM APIs· developer.nvidia.com

Freemium

NVIDIA-hosted and self-deployable NIM large language model APIs exposing OpenAI-compatible inference endpoints for RAG, agentic AI, and production generative applications.

284
114
API available
fal logo
fal

LLM APIs· fal.ai

Freemium

Serverless generative media API platform for running image, video, and audio models from builder applications.

189
44
Open source
Inference.sh logo
Inference.sh

LLM APIs· inference.sh

Freemium

Developer platform and MCP server for discovering, executing, and streaming more than 150 AI applications across image, video, audio, language, and 3D workflows.

API available

Keep evaluating Fireworks AI

Comparisons, category adoption data, and shortlist guides that answer the questions this profile raises next.

Check the adoption evidence

  • LLM APIs developers actually keep usingFiltered to products with verified usage events, cohort breadth, and retention.
  • AgentRank category rankingsHow every category is ordered by adoption proof, trust, and protocol support.

Own Fireworks AI? Generate its adoption badge embed, or claim the profile to send verified usage events.

CCodeRabbitpendingAI Dev Platforms tool
  • EESLintpendingAI Dev Platforms tool
    • Needs verification

    Security/compliance

    No security, trust, or compliance source attached

    Source linked

    Integration fit

    API profile signal with implementation source linked

    View source
    Inferred

    Adoption proof

    1 recorded adoption event; verification is not established

    Vendor value loop

    Vendors receive anonymous aggregate evaluation demand by default. Account details are shared only after explicit buyer contact or consent.

    Request vendor contact

    Trust gaps

    Verify publisher ownership
    Send SDK/API telemetry
    Automated performance measurements unavailable

    Enterprise verification can enrich evidence and export proof packages, but cannot buy rank.

    Next best action

    Verify ownership to manage Fireworks AI.

    Review aggregate activity and connect product usage evidence. Private reports retain their existing permissions and plan requirements.

    Public projects and activity accumulate here before your company joins. Claim this existing profile to manage it and review aggregate activity.

    Claim this tool to review aggregate activity
    Recommended actions
    Prioritized DevRel, product, and sales plays based on live adoption signals.