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Apkar

Agents that finish what they start.

Apkar gives every run a plan, a retry policy, and a full audit trail — so your automation survives contact with production.

p50 overhead
12ms
retention
90 days
regions
14
v2.4 — parallel runs
A live agent run: eight steps, one failure, one automatic retry, resolved.
run_8f2a1cCompleted
ingestclassifycrm.fetchkb.searchdraftsend

Running in production at

  • NORTHWIND
  • Kestrel
  • LUMEN BAY
  • Foundry
  • HALDEN
  • Arcus
  • VOSS
  • Meridian
4.8 / 5214 reviews
We deleted 4,000 lines of retry logic and replaced it with one policy file.
Rami Nasser · Staff Engineer, Northwind

The real failure mode

Most agents don't fail because the model was wrong. They fail because nothing was watching.

A run stalls on a rate-limited tool call at step nine. Nobody notices for two hours. There is no record of what the agent had already done, so the only safe move is to start it over from scratch.

The model was never the problem. The missing pieces were a checkpoint, a retry rule, and somewhere to look afterwards.

  • Completed
  • Stalled at step 9
  • Recovered on retry

Built for production

Everything a run needs to be trusted.

Run Graph

Watch every step, branch, and retry as it happens. Click any node to see exactly what went in and what came out.

step_04 · kb.search
tool
kb.search
attempt
2 of 3
latency
842ms
tokens
1,204
status
resolved

Retry Policies

Per-tool exponential backoff, declared in one file instead of scattered through your handlers.

Audit Trail

Every prompt, tool call, and token — retained 90 days and replayable.

Human in the Loop

Pause a run, review the state, approve, and resume from the same step.

Cost Guards

A hard ceiling per run. The agent stops. It does not quietly overspend.

How it works

Three steps, no glue code.

01

Define

Describe the agent in TypeScript or the visual builder. Both compile to the same graph.

agent("triage")
  .step("kb.search")
  .retry({ max: 3 })
02

Run

Parallel execution with a checkpoint written after every tool call.

01
02
03
04
03

Replay

Rerun any past run step by step, with the exact inputs it saw the first time.

step 06 / 092.8s

Build vs buy

What you skip by not building it yourself.

What you skip by not building it yourself.
Rolling your ownWith Apkar
First production agent~6 weeks2 days
Retry & backoff logic~4,000 LOC to maintainOne policy file
Step-level replayBuild it yourselfBuilt in
Per-run cost ceilingManual accountingHard limit
SOC 2 evidenceYour problemExportable

Integrations

Your stack, already wired.

Tools your agents can call on day one, with auth and rate limits handled.

Browse all integrations
  • Slack
  • GitHub
  • Stripe
  • Notion
  • Linear
  • Jira
  • Salesforce
  • HubSpot
  • Zendesk
  • Intercom
  • Twilio
  • SendGrid
  • Postgres
  • Snowflake
  • BigQuery
  • S3
  • Redis
  • Kafka
  • Sentry
  • Datadog
  • PagerDuty
  • Figma
  • Airtable
  • Shopify

and 64 more

34%

faster support resolution in one quarter

Northwind moved 11 support workflows to Apkar and cut median handle time from 6m 40s to 4m 24s.

Read the case study

Your first agent runs in under ten minutes.

Start building — free

No credit card · 10,000 free steps

Designed and built by

Taqweed

Apkar was designed and built end to end by Taqweed — research, positioning, copy, design system, and the Next.js build.

We build bilingual product sites that work as well in Arabic as they do in English. Not a translated layout — a second language treated as a first one.

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