Pydantic AI

Monitor and evaluate AI agents in production with integrated tracing and failure analysis

Also known as
pydantic-ai

Available worldwide

What is Pydantic AI?

An observability platform purpose-built for AI applications that captures agent execution traces, model calls, and tool interactions across your entire stack, enabling automated evaluation to identify and fix production failures.

Independently observed

Pydantic AI pricing

Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.

Pricing as of verify at live pricing ↗Independently observed
from $49/moSubscriptionFree tier

Free tier for 10M spans/month. Paid plans from $49/month with flat-rate overage pricing at $2 per million spans.

Personal

Free
Free
monthly · min 1 seats

For solo developers

spans
10M/month
  • 10M spans per month
  • Hard cap to prevent bill shock

Team

$49/month + $2 per million spans
monthly
  • Overage billing at flat rate
  • Seat limits apply

Growth

$249/month + $2 per million spans, unlimited seats
monthly
  • No seat limits
  • Overage billing at flat rate

What Pydantic AI does

The capabilities that matter for mlops & llmops tools, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.

Core
Tool role
LLM observability / eval
Deployment
Self-hostable / OSS core
Managed cloud available
On-prem / VPC deployment
Observability
LLM tracing / observability
Evaluation (offline / LLM-judge / human)
Dev
Prompt management + versioning
Tracking
Experiment tracking / model registry
Serving
Model serving / inference endpoint
Interop
OpenTelemetry / OpenLLMetry compatible
Framework-agnostic
Gateway
Multi-provider model support
Data
No-train-on-customer-data guarantee
Unknown
Independently observed

Platform & deployment

Independently observed
Platforms
  • Web
Deployment
  • Cloud / SaaS
  • Self-hosted

Integrations (10)

Independently observed
  • Pydantic AI
  • Pydantic Evals
  • OpenTelemetry
  • Model Context Protocol (MCP)
  • Snowflake
  • FastAPI
  • OpenAI
  • LangChain
  • HuggingFace
  • Prefect

Security & compliance

Independently observed
  • SOC 2 Type II · Type IIactive

Known vulnerabilities: 0 (0 in the last 12 months) sourcea count reflects scale & disclosure, not quality

Pydantic AI FAQ

Common questions about Pydantic AI, answered from independent, dated evidence.

What is Pydantic AI?

A comprehensive toolkit combining an open-source Python agent development framework with a managed observability platform designed specifically for AI applications, including monitoring, evaluation, and LLM gateway capabilities. It is indexed under MLOps & LLMOps Tools.

Source: https://pydantic.dev/articles/ai-observability-pricing-comparison

Is Pydantic AI free to use?

Pydantic AI is open source, so it can be self-hosted and used at no licence cost. It is released under the MIT licence. A commercial or hosted edition starts at $2. Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.

Source: https://pydantic.dev/articles/ai-observability-pricing-comparison

What platforms does Pydantic AI support?

Pydantic AI supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.

Source: https://pydantic.dev/articles/ai-observability-pricing-comparison

Can Pydantic AI be self-hosted?

Yes. Pydantic AI can be deployed cloud / SaaS and self-hosted, so it does not have to run on the vendor's infrastructure.

Source: https://pydantic.dev/articles/ai-observability-pricing-comparison

What does Pydantic AI integrate with?

We have confirmed 10 integrations for Pydantic AI, including Pydantic AI, Pydantic Evals, OpenTelemetry, Model Context Protocol (MCP), Snowflake, FastAPI, OpenAI and LangChain, plus 2 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.

Source: https://pydantic.dev/articles/ai-observability-pricing-comparison

What security certifications does Pydantic AI have?

We have independently confirmed SOC 2, HIPAA and GDPR for Pydantic AI. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as Pydantic AI not holding them. Always confirm compliance directly before you rely on it.

Source: https://pydantic.dev/security

Is Pydantic AI open source?

Yes. Pydantic AI is published under the MIT licence, a permissive licence that generally allows commercial use and modification. Licence terms can change between releases, so verify against the repository for the version you intend to use.

Source: https://github.com/pydantic/pydantic-ai

Pydantic AI alternatives

Other mlops & llmops tools we track, ranked by the same independent score.

All Pydantic AI alternatives, ranked →

Compare Pydantic AI

Side by side against other mlops & llmops tools, attribute by attribute, with a source on every value.

Independent · unbought · dated

The vioscaleAI score: one lens on the evidence

Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for Pydantic AI, not the verdict.

Balanced composite 66 / 100
medium · 63%
Signal contributions to the composite score
SignalScoreWeightContributionEvidence
Package downloads840.1411.5
Capabilities1000.099.2
Pricing transparency1000.088.4
Development activity630.095.9
Release cadence990.055.2
Security posture600.063.8
Price level500.052.6
Integrations260.092.4
Stars810.032.1
Reliability00.060.0-
Dependent projects00.060.0
Security score00.040.0-
Developer Q&A activity00.060.0-

Computed . Re-weight it by intent, or see the full method.

All data & sourcesshow ↓

Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.

Activity

AttributeValueEvidence
Commits last 30d100mediumsource · 2026-09-13 · 65%

Adoption

AttributeValueEvidence
Github stars19,902highsource · 2026-09-13 · 90%
Package downloads weekly3,171,945highsource · 2026-08-03 · 85%
Dependent repos0highsource · 2026-09-13 · 85%

Content

AttributeValueEvidence
Faq7 itemsmediumsource · 2026-09-10 · 66%

Features

AttributeValueEvidence
CapabilitiesRole: observability · Evaluation: Yes · Soc2 type ii: Yes · Managed cloud: Yes · Model serving: Yes · Pricing model: commercial_enterprise_platformmediumsource · 2026-09-13 · 60%

Integrations

AttributeValueEvidence
Count7mediumsource · 2026-08-21 · 60%

Language

AttributeValueEvidence
PrimaryPythonhighsource · 2026-09-13 · 90%

License

AttributeValueEvidence
SpdxMIThighsource · 2026-09-13 · 95%

Market

AttributeValueEvidence
AvailabilityPrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: …mediumsource · 2026-09-13 · 50%

Pricing

AttributeValueEvidence
Free tierYesmediumsource · 2026-09-13 · 60%
Price levelmidmediumsource · 2026-09-13 · 60%
TransparentYesmediumsource · 2026-09-13 · 60%
Starting priceAmount: 49 · Currency: USDmediumsource · 2026-09-13 · 60%
Modelfreemiummediumsource · 2026-09-13 · 60%

Release

AttributeValueEvidence
Cadence days1mediumsource · 2026-09-13 · 70%
History20 itemsmediumsource · 2026-09-13 · 70%

Security

AttributeValueEvidence
GdprYeshighsource · 2026-09-13 · 75%
HipaaYeshighsource · 2026-09-13 · 75%
Soc2Yeshighsource · 2026-09-13 · 75%
Disclosure policyYesmediumsource · 2026-08-21 · 60%
VulnerabilitiesCount: 0 · Source: https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=pydantic-evals&per_page=100 · Last 12m: 0highsource · 2026-09-13 · 90%
CertificationsSOC 2 Type IImediumsource · 2026-09-13 · 60%
Trust centerhttps://pydantic.dev/securitymediumsource · 2026-09-13 · 60%
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