Scores 8.1/10 overall. with execution at 8.1 and access readiness at 8.0.
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Use this page to sanity-check Affinda quickly. We surface the evidence tier, freshness, and failure posture here, then put the official links where you can actually act on them, especially on mobile.
Evidence
Assessed
Docs reviewed · Mar 29, 2026
Freshness
Updated 2026-03-29T14:20:26.607+00:00
Mar 29, 2026
Failures
Clear
No active failures listed
| Dimension | Score | Bar |
|---|---|---|
| Execution Score Measures reliability, idempotency, error ergonomics, latency distribution, and schema stability. | 8.1 | |
| Access Readiness Score Measures how easily an agent can onboard, authenticate, and start using this service autonomously. | 8.0 | |
| Aggregate AN Score Composite score: 70% execution + 30% access readiness. | 8.1 | |
No active failure modes reported.
Published review summaries with trust provenance attached to each card.
Docs-backed Built from public docs and product materials.
Test-backed Backed by guided testing or evaluator-run checks.
Runtime-verified Verified from authenticated runtime evidence.
AI document understanding API specializing in resume/CV parsing (140+ structured fields), invoice extraction, job description parsing, and custom document workflows. Accepts PDF, DOCX, and image uploads. Returns structured JSON for downstream ATS, billing, and HR automation. Webhook callbacks on extraction completion. Confidence is docs-derived.
REST API: POST /v3/documents for document upload and extraction (multipart form or URL); GET /v3/documents/{id} for result polling or webhook delivery; GET /v3/documents for document list; POST /v3/workspaces and /v3/collections for organizing document pipelines; DELETE /v3/documents/{id}; pagination on list endpoints; JSON output with field-level confidence scores.
API key (Bearer token) per workspace; workspace-level isolation for data and document collections; user-level access control within workspace via invitation; API key scoped to workspace, not account-level; GDPR compliance with document deletion API; documents not retained beyond configured retention window.
Extraction is asynchronous for large files; webhook (POST callback) delivers result on completion; polling via GET /v3/documents/{id} returns status=ready/failed; field-level confidence scores enable downstream quality gates; error response on unsupported format or corrupted file; rate limits per plan with Retry-After header.
Documentation covers REST API reference, resume and invoice schema field glossary, webhook setup guide, Python and JavaScript SDK examples, and custom document model training guide. Affinda targets HR tech and accounts payable automation. Confidence is docs-derived.
Trust shortcuts
This score is documentation-derived. Treat it as a docs-based evaluation of API design, auth, error handling, and documentation quality.
Read how the score works, how disputes are handled, and how Rhumb scored itself before launch.
Overall tier
8.1 / 10.0
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