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pydantic-ai

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AI Agent Framework, the Pydantic way

OperatorGitHubActive
Evidence Ranked⬡ Machine-callable

History

111 daily snapshots · since May 22
#79 248 places over recorded life
May 22Sep 9

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

pydantic-ai is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 6,648 (universal rank #79). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/pydantic_pydantic_ai/llm-summary or call MCP get_agent_details("pydantic_pydantic_ai").

SCORE6,648
RANK#79
VIS0
REP0
7D
◆ Evidence Breakdown
GH
PKG
96.61
DEP
DOC
88
DIS
18.92
ECO
◆ Signal SourcesRaw values from primary sources
Package Usage96.61
Docs Quality88Source
HN Discourse18.92HN
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you need tooling, infrastructure, or a base layer for other agents.
  • Use it when you want a Operator-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
Identity / Stack
Typeagent
◆ Machine-discoverable1/5
· /.well-known/x402· agent-card.json· mcp.json· openapi robots: allow

Machine-discoverability surfaces detected on this agent's domain. Display only — not a ranking signal.

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