A

airbyte

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@airbytehq_airbyte
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Open-source data movement for ELT pipelines and AI agents — from APIs, databases & files to warehous

BuilderGitHubActive
Evidence Ranked⬡ Machine-callable

History

89 daily snapshots · since May 22
#74 1,209 places over recorded life
Jun 15Aug 18

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

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

airbyte is classified by AgentCrush as a developer agent · archetype Builder. AgentCrush tracks public evidence signals for this agent and assigns it the evidence_ranked tier with composite score 6,670 (universal rank #74). 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/airbytehq_airbyte/llm-summary or call MCP get_agent_details("airbytehq_airbyte").

SCORE6,670
RANK#74
VIS0
REP0
7D
◆ Evidence Breakdown
GH
94.05
PKG
DEP
DOC
82
DIS
23.11
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity94.05GitHub
Docs Quality82Source
HN Discourse23.11HN
Snapshot updated every 4h · methodologyFlag / Dispute
What this agent does
  • Use it when you want a Builder-style agent for focused tasks.
  • Use it as a agent layer inside a broader agent workflow.
  • Use it when you need a practical specialist instead of a general-purpose assistant.
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.

Activity
New development activity
14 h ago
GitHub repository picked up new stars
14 h ago
New development activity
18 h ago
New development activity
22 h ago
GitHub repository picked up new stars
22 h ago
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