{"id":543507,"recorded_at":"2026-10-27T20:04:30.951473Z","observed_at":"2026-10-27T20:04:30.951427Z","subject_kind":"endpoint","subject":"b905f2a5-57ee-4c35-b4f8-6499c342aad9","kind":"mcp.tools","method":"probe.mcp/1","body":{"count":3,"tools":[{"description":"Convert a PDF into structured content (tables, charts, formulas, headings, body text) using a two-stage pipeline (layout detection, then a vision-language model) rather than a single VLM call on the raw PDF -- calling a VLM on a raw PDF directly is a known-unreliable pattern for numeric tables.\n\nMeasured accuracy (500-page real-world benchmark of government/corporate reports, ~51,000 table values checked): tables 95.2% digit-exact, body text 88.8%. This tool reads PDFs a VLM cannot read directly, including scanned pages and PDFs with corrupted/garbled text layers (common in older Japanese academic PDFs). For scanned Japanese documents the numbers hold up (99.4% on the same benchmark). For scanned Arabic, body text does NOT: characters are dropped mid-sentence and quantities can turn into different quantities, so body blocks from scanned Arabic are always flagged confidence:\"estimated\" -- tables in the same documents stayed exact in our measurement. Strong on Japanese-language documents specifically; the accuracy figures above were measured on Japanese material and are not a claim about every language. Chart values are extracted but are best-effort estimates (about 52% exact match, excluding axis tick labels) and are always flagged confidence:\"estimated\" in the result -- do not treat estimated chart numbers as authoritative.\n\nThis is a PAID, ASYNCHRONOUS, per-page-billed operation: credits are reserved from the caller's PDFIntact balance before processing starts, and the response's _meta.credits_remaining shows the balance right after reservation. Processing takes real wall-clock time (roughly 7 seconds/page; a 500-page PDF takes about 42 minutes including a multi-minute cold start), so this tool returns a job_handle immediately without waiting -- call get_result with that job_handle to poll for completion instead of calling convert_pdf again. Always pass idempotency_key; reuse the exact same value if you retry the same request, otherwise retries can double-charge and double-process. Provide the PDF either as a public https URL (source.type=\"url\", up to ~200MB) or inline base64 (source.type=\"base64\", up to ~20MB) -- prefer the URL form for large files.\n\nRequires sign-in (OAuth): this session is not authenticated, so calling this tool will fail until the PDFIntact account is connected and authorized.","inputSchema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"idempotency_key":{"description":"Unique key for this request. Reuse the same value on retry of the same PDF to avoid double charging.","maxLength":200,"minLength":1,"type":"string"},"source":{"oneOf":[{"properties":{"type":{"const":"url","type":"string"},"url":{"description":"HTTPS URL to fetch the PDF from","format":"uri","type":"string"}},"required":["type","url"],"type":"object"},{"properties":{"data":{"description":"Base64-encoded PDF file contents","type":"string"},"type":{"const":"base64","type":"string"}},"required":["type","data"],"type":"object"}]}},"required":["source","idempotency_key"],"type":"object"},"name":"convert_pdf"},{"description":"Check the current PDFIntact credit balance for the authenticated account (1 page = 1 credit), plus the soonest-expiring credit lot. Useful before submitting a large PDF to convert_pdf, or after an insufficient_credits error to see how many credits are needed and get a purchase link.\n\nRequires sign-in (OAuth): this session is not authenticated, so calling this tool will fail until the PDFIntact account is connected and authorized.","inputSchema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{},"type":"object"},"name":"get_balance"},{"description":"Fetch the status and (once finished) the structured result of a job previously created by convert_pdf. Poll this with the job_handle convert_pdf returned until _meta.state is \"done\" or \"failed\" -- do not call convert_pdf again while waiting. job_handle is scoped to the account that created it; handles belonging to a different account are rejected as not found.\n\nRequires sign-in (OAuth): this session is not authenticated, so calling this tool will fail until the PDFIntact account is connected and authorized.","inputSchema":{"$schema":"https://json-schema.org/draft/2020-12/schema","properties":{"job_handle":{"description":"The job_handle returned by convert_pdf","minLength":1,"type":"string"}},"required":["job_handle"],"type":"object"},"name":"get_result"}]},"body_sha256":"79866b60468163e28e7e23d150932891de5f7befb3b7d1677eb5d235ef349c48","prev_id":null,"leaf":"0xcdef67550f5c16c2a72b477f7baf263cf4742539840a4ed85f877c26f32b50c4","leaf_text":"{\"body\":\"79866b60468163e28e7e23d150932891de5f7befb3b7d1677eb5d235ef349c48\",\"id\":543507,\"kind\":\"mcp.tools\",\"method\":\"probe.mcp/1\",\"observed_us\":1793131470951427,\"prev\":null,\"subject\":\"b905f2a5-57ee-4c35-b4f8-6499c342aad9\",\"subject_kind\":\"endpoint\"}","day":{"day":"2026-10-27","leaves":273461,"root":"0xdd77e5e99da32c3f154180d63e3c3e6fe11e896a2c6896412ef6b5c4bcf7e795","chained":"0x23bb4dfd09f55c15ac3962f53578e02c6114d5bfd9bb451cf8794fb6e2817ef4","anchor_chain":"eip155:5042002","anchor_tx":"0xb2ebd83aafeb765a0ce66e76aefb133ed06606c98038fd56191e2bcd1dcb77b4","anchor_block":69414147},"proof":["0xcdef3951eb7127a9a5604884e0e48e88feff1f9c1805dcdd8a1a67a8897217e3","0xbda873eb6e28b6745752b50397a320b375e9a9100a7aec690b616d310ca33689","0xab02c905f16c506f5ef0af47a675a8d3c3408c5df0a4a8c84901c361eac1ab85","0x9f76af4a7c30ec2367290f683f3f8d1b09ad914dc1c33909f9ebe9d87d206fec","0xc319aef9a1295d0ac7edf599894bd05c94f9b25ae236c412a2dcf69aa4a0bf7f","0x372ca02509cdbf957741f405243abb4b070f4eb3afaf8ff5e3386619d228a922","0x5b641b8cc5cdb1a2d16e8d5114e8b2c795663b04cc26fe00b0f7a6f1ea5d6358","0x6da51ae532d453023cdab838e9b9ea8f4d220e4d2dae649331f344e4fc3f615f","0x4adf356113f7702969d22165db7b2ccf38a67acb5eb1cbf718c01944b33dc8cc","0xc47333eaed4999c782c1a85ca79791472b5a3f8d20a499815180a17f44f99851","0x8e565ff0c748ae2cc61548174e51ddca11de3dc906e11accf31e6523b86a600c","0x66e8d9e469038ef11a686abeed12c8ceb38a1a8cd79012ccf20d29a30858cbbc","0xeb77e9d1884bf470f4a13a5869956a83ac37957112a29ccb9e63ddf7791b5a0b","0xcc49fd573532e5a29f5be4033f62a2eff71456c020bd2258312b98e95cfe301e","0x969cd44e5a4e8dc3110540398fbf689659eb51df735c1cda5d8f021ef9ff5683","0xa94627de1af0e823832e05a9069b304ecccb8c0cdb8f9cfc4f2039bfb9799dc5","0xdf1105afdc109de3c09a98fc8a3864159ad964e6f49b635c105a27a1e1f14310","0x2bf8151e5f157dd183b9de6fa00469551932a7a6e3f33a694895000ac9061197","0x9fc354c0ea3efc3f1b6548bb77ea902a50f2c9647647ea61592efce2bd795699"]}