Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-10-21 10:18 UTC

paypal / agent-toolkit

PayPal Agent

TypeScript · PythonApache-2.0★ 196 stars⑂ 120 forkssince Mar 2025View on GitHub ↗
KindLibraryMCP serverhow this is determined

paypal/agent-toolkit holds a health index of 42 out of 100, placing it in the Weak band. It scores highest on Sustainability & Governance (68/100) and lowest on Security (7/100). It was last updated 50 days ago. 2 contributors account for most of its recent work.

42
overall / 100
Weak

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

42
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 45 is calibrated to 42 on the published index scale (record calibration 2026-08-02).

Ownership

PayPalOrganization
2,106 followers164 public repossince Nov 2010

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIpaypal-agent-toolkit1.11.02131550 days agopaypalpaymentscheckoutapi
npm@paypal/agent-toolkit1.11.04,0462050 days ago—

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

48Weak · 21% of overall
How it's scored
18/36Push recency — last push 50 days ago
2.8/36Commit cadence — 4/52 weeks with commits
11.1/18Commit volume — 16 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year16
human_commit_share0.89
days_since_last_push50
active_weeks_last_year4
How it's scored
27/27Ships releases — 2 releases published
7.2/36Release recency — latest release 400 days ago
27/27Release cadence — a release every ~16.9 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count2
latest_release_tagv1.8.0
releases_from_tagsno
days_since_latest_release400
mean_days_between_releases16.9

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

57Moderate · 17% of overall
How it's scored
37.1/60Stars — 196 stars
17.3/25Forks — 120 forks
6.2/15Watchers — 14 watchers
Inputs used
forks120
stars196
watchers14
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (Apache-2.0)
0/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges0
has_contributingno
has_issue_templateno
has_code_of_conductyes
readme_badge_services—
has_pull_request_templateno
How it's scored
31.1/80Monthly downloads — 213 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespaypal-agent-toolkit
dependents—
ecosystemspypi
total_downloads—
monthly_downloads213
unverified_packages_excluded@paypal/agent-toolkit
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

68Good · 23% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
14.8/22.5Commit distribution — top contributor authored 34% of commits
13.5/13.5Contributor breadth — 10 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor2
contributors_sampled10
top_contributor_share0.341
How it's scored
5.5/42Issue resolution — 13% of issues closed
23.7/30PR acceptance — 53/67 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs53
open_issues20
closed_issues3
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.13
closed_unmerged_prs14
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
23.9/25Owner reach — 2,106 followers of paypal
25/25Track record — 164 public repos, account ~15 yr old
Inputs used
followers2,106
owner_typeOrganization
is_verifiedno
owner_loginpaypal
public_repos164
account_age_days5,823

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 2 package(s) on npm, pypi
35/35Publish recency — latest publish 50 days ago
20/20Version history — 20 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespaypal-agent-toolkit, @paypal/agent-toolkit
ecosystemsnpm, pypi
any_deprecatedno
min_days_since_publish50

Engineering Quality

Are baseline engineering and documentation practices in place?

38Weak · 19% of overall
How it's scored
24/24CI workflows — 2 workflow(s)
0/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsno
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

50Moderate
How it's scored
30/30README
0/25Documentation directory
0/15Documentation / homepage site
10/10Repository description
0/10Topics
10/10Wiki
Inputs used
topics—
has_wikiyes
homepage—
docs_site—
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

7Critical · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
0/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfiles—
manifestspython/pyproject.toml, python/requirements.txt, typescript/package.json
has_codeql_workflowno
has_security_policyno
has_dependabot_configno
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.
How it's scored
7.9/35Direct dependencies free of known advisories — 3 affected: @langchain/core 0.3.6 (high 8.6), mathjs 14.9.1 (high 8.8), ai 4.3.19 (low 3.7)
5.8/25Indirect dependencies free of known advisories — 4 affected: jsondiffpatch 0.6.0 (high 8.2), langsmith 0.1.68 (high 7.1), uuid 10.0.0 (high 7.5), +1 more
18.1/40No advisories left outstanding — 7 advisory-carrying package(s) unaddressed past 90 days; oldest published 405 days ago
Inputs used
sourceosv
advisories11
affected_packages7
assessed_packages243
unassessed_packages0
affected_by_severityhigh 5, moderate 1, low 1
direct_affected_packages3
Matched the npm:@paypal/agent-toolkit@1.11.0 runtime dependency closure — what installing the published package pulls in — 243 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

41Weak · 4% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
21/40Legible commit history — 35 of 89 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
llms_txt_url—
legible_history_share0.393
agent_instruction_files—
agent_instruction_max_bytes—
How it's scored
0/18One-command bootstrap
0/22Automated tests
0/11Lint / format config
11/11Static type checking — typescript/tsconfig.json
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
0/8Automated maintenance — no automated dependency updates observed
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsno
lockfiles—
has_dockerfileno
typed_languageyes
bootstrap_files—
has_devcontainerno
has_linter_configno
typecheck_configstypescript/tsconfig.json
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0
How it's scored
45/45Type-checkable code — TypeScript (statically typed)
55/55Manageable file sizes — 0/80 source files over 60KB
Inputs used
primary_languageTypeScript
largest_source_bytes59,572
source_files_sampled80
oversized_source_files0
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
20/20MCP server
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalyes
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto). Remaining weights renormalized.

Key facts

196GitHub stars
10contributors
16commits, last 12 months
50days since last push
2releases
2bus factor
20open issues
npm, PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

More detail

Star and fork history 0 ★ / 120 ⇿
0Stars
120Forks
2Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

02040608010012011942025-042026-012026-10
Major 0Minor 2Patch 0

Each point covers 2 days.

Direct dependencies 20
RegistryPackageVersion constraintManifest
PyPIopenai-agents==0.0.2python/pyproject.toml
PyPIlangchain==0.3.23python/pyproject.toml
PyPIcrewai-tools==0.13.2python/pyproject.toml
PyPIhttpx>=0.26.0python/pyproject.toml
PyPIrequests>=2.31.0python/pyproject.toml
PyPIpython-dotenv>=1.0.1python/pyproject.toml
PyPIpydantic>=2.10python/pyproject.toml
npm@dotenvx/dotenvx^1.32.0typescript/package.json
npm@langchain/core0.3.6typescript/package.json
npmopenai4.86.1typescript/package.json
npm@modelcontextprotocol/sdk^1.6.1typescript/package.json
npm@paypal/paypal-server-sdk^1.0.0typescript/package.json
npmai^4.0.23typescript/package.json
npmaxios^1.8.4typescript/package.json
npmdebug^4.4.0typescript/package.json
npmfast-json-patch^3.1.1typescript/package.json
npmlodash^4.17.21typescript/package.json
npmmathjs^14.0.1typescript/package.json
npmos^0.1.2typescript/package.json
npmzod^3.24.2typescript/package.json
All dependencies 48

Full resolved dependency set from the GitHub dependency graph: 21 direct and 27 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
npm@dotenvx/dotenvx^1.32.0direct
npm@langchain/core0.3.6direct
npm@modelcontextprotocol/sdk^1.6.1direct
npm@paypal/paypal-server-sdk^1.0.0direct
npmai^4.0.0direct
npmai^4.0.23direct
npmaxios^1.8.4direct
npmdebug^4.4.0direct
npmfast-json-patch^3.1.1direct
npmlodash^4.17.21direct
npmmathjs^14.0.1direct
npmopenai4.86.1direct
npmos^0.1.2direct
npmzod^3.24.2direct
PyPIcrewai-tools0.13.2direct
PyPIhttpx—direct
PyPIlangchain0.3.23direct
PyPIopenai-agents0.0.2direct
PyPIpydantic—direct
PyPIpython-dotenv—direct
PyPIrequests—direct
npm@ai-sdk/openai^0.0.63indirect
npm@aws-sdk/client-bedrock-runtime^3.842.0indirect
npm@langchain/langgraph^0.3.5indirect
npm@langchain/openai^0.3.5indirect
npm@paypal/agent-toolkitlatestindirect
npm@types/debug^4.1.12indirect
npm@types/jest^29.5.14indirect
npm@types/lodash^4.17.15indirect
npm@types/node^22.10.5indirect
npm@types/node^22.7.4indirect
npmjest^29.7.0indirect
npmlangchain^0.3.29indirect
npmts-jest^29.2.5indirect
npmts-node^10.9.2indirect
npmtsup^8.3.6indirect
npmtsx^4.19.2indirect
npmtypescript^5.7.2indirect
npmzod-to-json-schema3.23.5indirect
PyPIboto31.39.11indirect
PyPIbuild—indirect
PyPIcrewai0.76.2indirect
PyPIlangchain-openai0.2.2indirect
PyPIopenai1.66.0indirect
PyPIpaypal-agent-toolkit—indirect
PyPIpytest—indirect
PyPIsetuptools—indirect
PyPItwine—indirect
Dependency advisories 7

Installing npm:@paypal/agent-toolkit@1.11.0 pulls in 243 packages, direct and transitive: 7 carry known advisories, of which 3 are direct dependencies.

PackageVersionRelationSeverityAdvisoriesFixed in
@langchain/core0.3.6directhigh11.2.3
mathjs14.9.1directhigh215.2.0
jsondiffpatch0.6.0indirecthigh20.7.6
langsmith0.1.68indirecthigh31.0.7
uuid10.0.0indirecthigh113.0.1
@ai-sdk/provider-utils2.2.8indirectmoderate15.0.1
ai4.3.19directlow15.1.0-beta.9

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

Spotted something off in this report, or have thoughts to share? Wrong measurements, missed tooling, ideas, questions — anything is welcome. Every message is read and gets a response.

The message is kept through sign-in.

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI, npm.