Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-16 05:40 UTC

agentscore / python-commerce

AgentScore Commerce — Python merchant SDK for agent commerce: identity, payment, discovery, Stripe multichain.

PythonMIT★ 0 stars⑂ 0 forkssince Apr 2026View on GitHub ↗
KindLibraryhow this is determined
#agent-commerce#agentscore#ai-agent#merchant-sdk#mpp#payments#python#stripe#x402

agentscore/python-commerce holds a health index of 80 out of 100, placing it in the Excellent band. It scores highest on Vitality (86/100) and lowest on Community & Adoption (46/100). It was last updated 1 day ago. A single contributor accounts for most of its recent work.

80
overall / 100
Excellent

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.

80
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 68 is calibrated to 80 on the published index scale (record calibration 2026-08-02).

Ownership

AgentScoreOrganization · verified domain
5 followers7 public repossince Feb 2026

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIagentscore-commerce2.9.11,555571 day ago402agent-commerceagentic-paymentsagentscoreai-agentaiohttpbasedjangofastapiflaskidentitykycmachine-payments-protocolmiddlewaremppreputationsanicsolanastarlettestripetempotrustx402

Metrics by category

Vitality

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

86Excellent · 21% of overall

Development activity

76Good
How it's scored
36/36Push recency — last push 1 days ago
12.5/36Commit cadence — 18/52 weeks with commits
18/18Commit volume — 165 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year165
human_commit_share0.83
days_since_last_push1
active_weeks_last_year18

Release discipline

100Exceptional
How it's scored
27/27Ships releases — 57 releases published
36/36Release recency — latest release 1 days ago
27/27Release cadence — a release every ~3.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count57
latest_release_tagv2.9.1
releases_from_tagsno
days_since_latest_release1
mean_days_between_releases3.7
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

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

46Weak · 17% of overall

Popularity & adoption

1Critical
How it's scored
0/60Stars — 0 stars
0/25Forks — 0 forks
0/15Watchers — 0 watchers
Inputs used
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

92Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges2
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateyes

Ecosystem adoption (downloads)

53Moderate
How it's scored
42.6/80Monthly downloads — 1,555 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagesagentscore-commerce
dependents—
ecosystemspypi
total_downloads—
monthly_downloads1,555
unverified_packages_excluded—
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?

54Moderate · 23% of overall

Maintainer resilience (bus factor)

13Critical
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
0/22.5Commit distribution — top contributor authored 100% of commits
1.4/13.5Contributor breadth — 1 contributors
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Inputs used
bus_factor1
contributors_sampled1
top_contributor_share1

Issue & PR responsiveness

59Moderate
How it's scored
0/42Issue resolution — no issues or no data
26.5/30PR acceptance — 120/136 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/23 approved changesets -- score normalized to 0
Inputs used
merged_prs120
open_issues0
closed_issues0
prs_merged_7d1
prs_decided_7d1
prs_merged_30d16
prs_decided_30d16
issue_closed_ratio—
closed_unmerged_prs16
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Issue resolution, Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

63Moderate
How it's scored
30/30Ownership backing — organization-owned
20/20Verified domain
5.6/25Owner reach — 5 followers of agentscore
7.7/25Track record — 7 public repos, account ~0 yr old
Inputs used
followers5
owner_typeOrganization
is_verifiedyes
owner_loginagentscore
public_repos7
account_age_days207

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 1 days ago
20/20Version history — 57 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesagentscore-commerce
ecosystemspypi
any_deprecatedno
min_days_since_publish1

Engineering Quality

Are baseline engineering and documentation practices in place?

76Good · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 3 workflow(s)
24/24Tests present
16/16Linter config — ruff.toml
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

65Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://www.agentscore.com
10/10Repository description
10/10Topics — 9 topics
0/10Wiki
Inputs used
topicsagent-commerce, agentscore, ai-agent, merchant-sdk, mpp, payments, python, stripe, x402
has_wikino
homepagehttps://www.agentscore.com
docs_sitehttps://www.agentscore.com
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

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

72Good · 16% of overall

Security posture

65Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/23 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.5
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages8
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:agentscore-commerce@2.9.1 runtime dependency closure — what installing the published package pulls in — 8 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.

86Excellent · 4% of overall

Agent context & guidance

100Exceptional
How it's scored
45/45Agent instructions — CLAUDE.md
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://www.agentscore.com/llms.txt)
40/40Legible commit history — 83 of 83 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://www.agentscore.com/llms.txt
legible_history_share1
agent_instruction_filesCLAUDE.md
agent_instruction_max_bytes27,874

Verify loop (build / test / typecheck)

72Good
How it's scored
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — ruff.toml
11/11Static type checking — agentscore_commerce/identity/py.typed, agentscore_commerce/py.typed
10/10Reproducible environment — lockfile
10/10Demonstrated agent practice — 66 of the last 100 commits agent-authored or agent-credited
8/8Automated maintenance — 17 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileno
typed_languageno
bootstrap_files—
has_devcontainerno
has_linter_configyes
typecheck_configsagentscore_commerce/identity/py.typed, agentscore_commerce/py.typed
agent_commit_share0.66
toolchain_manifests—
dependency_bot_commit_share0.17

Code legibility for models

82Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (agentscore_commerce/identity/py.typed, agentscore_commerce/py.typed)
54.5/55Manageable file sizes — 2/207 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes151,312
source_files_sampled207
oversized_source_files2

Machine-readable interfaces

100Exceptional
How it's scored
0/40API schema (OpenAPI/GraphQL/proto) — not applicable to this kind of software
0/20MCP server — not applicable to this kind of software
40/40Runnable examples — examples
Inputs used
example_dirsexamples
has_mcp_signalno
api_schema_files—
interfaces_expected_of—
Excluded from scoring (no data or not applicable): API schema (OpenAPI/GraphQL/proto), MCP server. Remaining weights renormalized.

Key facts

0GitHub stars
1contributors
165commits, last 12 months
1days since last push
57releases
1bus factor
0open issues
PyPIpackage ecosystems

More detail

OpenSSF Scorecard 6.5 / 10
6.5aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-16 05:39 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/23 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPIhttpx>=0.25.0,<1.0.0pyproject.toml
PyPIagentscore-py>=2.6.10pyproject.toml
All dependencies 144

Full resolved dependency set from the GitHub dependency graph: 2 direct and 142 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIagentscore-py2.6.10direct
PyPIhttpx0.28.1direct
PyPIagent-detector2.0.0indirect
PyPIagentscore-commerce2.9.1indirect
PyPIaiofiles25.1.0indirect
PyPIaiohappyeyeballs2.7.1indirect
PyPIaiohttp3.14.3indirect
PyPIaiohttp-retry2.9.1indirect
PyPIaiolimiter1.3.0indirect
PyPIaiosignal1.4.0indirect
PyPIannotated-doc0.0.5indirect
PyPIannotated-types0.8.0indirect
PyPIanyio4.15.1indirect
PyPIasgiref3.12.1indirect
PyPIasync-timeout5.0.1indirect
PyPIattrs26.1.0indirect
PyPIbase582.1.1indirect
PyPIbitarray3.11.0indirect
PyPIblinker1.9.0indirect
PyPIcdp-sdk1.48.1indirect
PyPIcertifi2026.7.22indirect
PyPIcffi2.1.1indirect
PyPIcharset-normalizer3.5.1indirect
PyPIckzg2.1.8indirect
PyPIclick8.5.0indirect
PyPIcolorama0.4.6indirect
PyPIconstruct2.10.70indirect
PyPIconstruct-typing0.7.0indirect
PyPIcoverage7.16.1indirect
PyPIcryptography50.0.1indirect
PyPIcytoolz1.1.0indirect
PyPIdetect-installer0.2.1indirect
PyPIdjango5.2.17indirect
PyPIdjango6.1.1indirect
PyPIdnspython2.8.0indirect
PyPIemail-validator2.3.0indirect
PyPIeth-abi5.2.0indirect
PyPIeth-account0.14.0indirect
PyPIeth-hash0.8.0indirect
PyPIeth-keyfile0.10.0indirect
PyPIeth-keys0.8.0indirect
PyPIeth-rlp3.0.0indirect
PyPIeth-typing6.0.0indirect
PyPIeth-utils6.0.0indirect
PyPIfastapi0.141.1indirect
PyPIfastapi-cli0.0.32indirect
PyPIfastapi-cloud-cli0.26.0indirect
PyPIfastar0.12.0indirect
PyPIflask3.1.3indirect
PyPIfrozenlist1.8.0indirect
PyPIh110.16.0indirect
PyPIh24.4.1indirect
PyPIhexbytes2.0.0indirect
PyPIhpack4.2.0indirect
PyPIhtml5tagger2.0.0indirect
PyPIhttpcore1.0.9indirect
PyPIhttpcore22.13.0indirect
PyPIhttptools0.8.0indirect
PyPIhttpx22.13.0indirect
PyPIhttpx2-jsfetch1.0indirect
PyPIhyperframe6.1.0indirect
PyPIidna3.19indirect
PyPIiniconfig2.3.0indirect
PyPIitsdangerous2.2.0indirect
PyPIjinja23.1.6indirect
PyPIjoserfc1.7.5indirect
PyPIjsonalias0.1.1indirect
PyPIlefthook2.1.14indirect
PyPImarkdown-it-py4.2.0indirect
PyPImarkupsafe3.0.3indirect
PyPImdurl0.1.2indirect
PyPImultidict6.8.0indirect
PyPInest-asyncio1.6.0indirect
PyPIoutcome1.3.0.post0indirect
PyPIpackaging26.3indirect
PyPIparsimonious0.10.0indirect
PyPIpluggy1.6.0indirect
PyPIpropcache0.5.2indirect
PyPIpy-ecc8.0.0indirect
PyPIpycparser3.0indirect
PyPIpycryptodome3.23.0indirect
PyPIpydantic2.13.5indirect
PyPIpydantic-core2.46.5indirect
PyPIpydantic-extra-types2.11.1indirect
PyPIpydantic-settings2.15.0indirect
PyPIpygments2.21.0indirect
PyPIpyjwt2.14.0indirect
PyPIpympp0.11.0indirect
PyPIpytempo0.5.1indirect
PyPIpytest9.1.1indirect
PyPIpytest-asyncio1.4.0indirect
PyPIpytest-cov7.1.0indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.3indirect
PyPIpython-multipart0.0.32indirect
PyPIpyunormalize17.0.0indirect
PyPIpywin32312indirect
PyPIpyyaml6.0.3indirect
PyPIredis8.1.0indirect
PyPIregex2026.9.10indirect
PyPIrequests2.34.2indirect
PyPIrespx0.23.1indirect
PyPIrfc87850.1.4indirect
PyPIrich15.0.0indirect
PyPIrich-toolkit0.20.5indirect
PyPIrignore0.8.1indirect
PyPIrlp5.0.0indirect
PyPIruff0.16.7indirect
PyPIsanic25.12.1indirect
PyPIsanic-routing23.12.0indirect
PyPIsanic-testing24.6.0indirect
PyPIsentry-sdk2.69.1indirect
PyPIsetuptools84.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsolana0.40.1indirect
PyPIsolders0.28.0indirect
PyPIsortedcontainers2.4.0indirect
PyPIsqlparse0.6.0indirect
PyPIstarlette1.6.0indirect
PyPIstripe15.6.1indirect
PyPItomli2.4.1indirect
PyPItoolz1.1.0indirect
PyPItracerite2.6.5indirect
PyPItrio0.34.0indirect
PyPItruststore0.10.4indirect
PyPIty0.0.80indirect
PyPItyper0.27.2indirect
PyPItypes-requests2.33.0.20260906indirect
PyPItyping-extensions4.16.0indirect
PyPItyping-inspection0.4.4indirect
PyPItzdata2026.4indirect
PyPIujson6.0.0indirect
PyPIurllib32.7.0indirect
PyPIuvicorn0.53.0indirect
PyPIuvloop0.22.1indirect
PyPIvulture2.16indirect
PyPIwatchfiles1.2.0indirect
PyPIweb37.16.0indirect
PyPIwebsockets15.0.1indirect
PyPIwerkzeug3.1.8indirect
PyPIx4022.22.0indirect
PyPIyarl1.24.5indirect
Dependency advisories 0

Installing pypi:agentscore-commerce@2.9.1 pulls in 8 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

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.

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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.